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<h3>Job Description</h3>
Job Description
5-7 years experienced Engineer 80% independent 20%oversight by Clients Manager
Day to Day
Working with Engineering team
Reviewing their work and Data Model
Support Release Process
Downstream Visualization
Review / Draft Documents
Oversight of Eng
Ensure Projects Moving
Must haves:
<ul>
<li>GxP</li>
<li>Experience with Snowflake Data warehouse management.</li>
<li>Collecting Data from CMO and using Snowflake to make the Data usable and visualize it.</li>
<li>Understands the different formats that data comes in Flat file, PDF, xml etc.</li>
</ul>
Nice to haves
<ul>
<li>Oncology Small Molecule.</li>
<li>Personally Identifiable Information(PII) safe.</li>
<li>Tibco Spotfire.</li>
</ul>

Senior Data Engineer w/ Pharma/Bio Domain Exp

<h3>Job Description</h3>
Job DescriptionAbout SimpliSafe
We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.
Why are we hiring?
Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. 
What You'll Do 
SimpliSafe is looking for a top-notch Staff Data Engineer to join our Data Platform Team. The Data Platform team is designing and building SimpliSafe's Data Platform that is used for analyzing ever growing amount of data with the goal of making every home secure.
In this role, you will design, implement, test, deploy, monitor and support new and existing modules of the Data Platform. You will work directly with external companies, internal engineering teams, analysts and data scientists that provide or consume data and analytics. If you enjoy working in a fast paced, intellectually stimulating environment and want the opportunity to build something brand new, we want to talk!
(All candidates should be at a commutable distance from our Boston office.)
About You
<ul>
<li>Strong computer science foundations, including data structures and algorithms, OO design patterns, concurrency, statistics and their implementation in your main/preferred programming language.</li>
<li>Experience with orchestration tools like Dagster, Prefect, Airflow, Step Functions</li>
<li>Experience with AWS or another cloud environment.</li>
<li>Experience with AWS CDK or other Infrastructure as Code technologies.</li>
<li>Experience with Python or readiness to learn and use it as your main language.</li>
<li>Experience with common network protocols such as HTTPS, SFTP.</li>
<li>Experience with optimizing SQL for Athena, Snowflake, BigQuery, Trino, PrestoDB or any relational database.</li>
<li>Experience in taking a feature through all stages of the development process from idea to deployment, monitoring and support.</li>
<li>Experience in designing scalable, resilient and secure services.</li>
<li>Experience in interacting with product owners and users of the products that you or your team delivered.</li>
<li>A true team player who is always ready to help the team and the users.</li>
<li>Ability to learn much and fast.</li>
<li>Practitioner of lean or agile software development principles and practices, understanding and advocating the importance of test automation, continuous delivery, continuous improvement, and value delivery.</li>
</ul>
Ideally you have
<ul>
<li>Experience with managing and using Tableau and other data visualization and reporting products</li>
<li>Experience with building and productionalizing ML models</li>
</ul>
What Values You'll Share
<ul>
<li>Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.</li>
<li>Aim High - Always challenging ourselves and others to raise the bar.</li>
<li>No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style.</li>
<li>One Team - Taking a highly collaborative approach to achieving success.</li>
<li>Lift As We Climb - Investing in developing others and helping others around us succeed.</li>
<li>Lean &amp; Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.</li>
</ul>
What We Offer
<ul>
<li>A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive </li>
<li>A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)</li>
<li>Free SimpliSafe system and professional monitoring for your home. </li>
<li>Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.</li>
</ul>
We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact <a href="mailto:careers@simplisafe.com" target="_blank">careers@simplisafe.com</a>.

Staff Data Platform Engineer

<h3>Job Description</h3>
Job Description
This is a fully remote opportunity
Gradient AI: 
 Gradient AI is revolutionizing Group Health and P&amp;C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. 
About the Role: 
We are seeking a Senior Data Engineer with a deep understanding of healthcare data, including claims, clinical, patient-reported outcomes data, or bioinformatics, to design, build, and manage data pipelines for our health insurance clients. The ideal candidate is a lifelong learner with a proven ability to interpret complex health-related datasets. This role requires an expert in using Airflow to orchestrate ETL pipelines, ensuring the efficient, reliable movement of healthcare data across systems. A subject matter expert (SME) in health and bioinformatics data is essential for success in this role. 
How you will make an impact:
<ul>
<li>Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA). </li>
<li>Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data. </li>
<li>Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications. </li>
<li>Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms. </li>
<li>Apply health and bioinformatics subject matter expertise to ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing - including translating complex medical and biological concepts into actionable data requirements. </li>
</ul>
Skills needed to succeed:
<ul>
<li>BS in Computer Science, Bioinformatics, or another quantitative discipline with 7+ years working with and interpreting health, medical, and bioinformatics data, including real-world healthcare datasets. </li>
<li>Subject matter expertise (SME) in health and bioinformatics data, with a strong grasp of the complexities and challenges of processing medical and biological information. </li>
<li>Knowledge of healthcare data standards (e.g., FHIR, HL7) and a solid understanding of healthcare data privacy and security regulations (such as HIPAA) are highly desirable. </li>
<li>Proficiency in Python and SQL within a professional environment. </li>
<li>Hands-on knowledge of big data tools like Apache Spark (PySpark), DataBricks, Snowflake, or similar platforms. </li>
<li>Skilled in using data orchestration frameworks such as Airflow, Dagster, or Prefect. </li>
<li>Comfortable working within cloud computing environments, preferably AWS, along with Linux systems. </li>
<li>Ability to work with and visualize health and/or medical data, with Insurtech industry exposure, is considered a plus. </li>
</ul>
What We Offer:
<ul>
<li>A fun, team-oriented startup culture. </li>
<li>Generous stock options - we all get to own a piece of what we're building. </li>
<li>Unlimited vacation days. </li>
<li>Flexible schedule that supports working from home. </li>
<li>Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. </li>
<li>Ample opportunities to learn and take on new responsibilities. </li>
</ul>
We are an equal opportunity employer.

Senior Data Engineer, Health & Bioinformatics

<h3>Job Description</h3>
Job DescriptionCompany Description 
We believe in the power of ingenuity to build a positive human future.&nbsp;
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and&nbsp;together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and&nbsp;transport.&nbsp;
Our teams operate globally from offices across the&nbsp;UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life
Job Description 
Your day to day
We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about designing, building, and maintaining data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine? If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers.&nbsp; As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.
#LI-SW1
#LI-Hybrid
Qualifications 
Minimum qualifications:
<ul>
<li>2-4 years of industry working experience</li>
<li>Advanced SQL and Python</li>
<li>Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds</li>
<li>Experience building dynamic, metadata driven pipelines and analyses</li>
<li>Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:
<ul>
<li>Designing and building data interfaces to source systems</li>
<li>Combining and transforming data into the appropriate format for storage</li>
<li>Developing data sets for analytics purposes</li>
<li>Developing pipelines that can handle common issues/errors in a robust and automated way</li>
</ul>
</li>
<li>Cloud experience in Azure, AWS or GCP</li>
</ul>
Preferred qualifications:
<ul>
<li>Spark / PySpark experience highly preferable</li>
<li>Working in Agile and DevOps environments</li>
<li>Basic Python, Bash, or PowerShell for automation</li>
<li>Data modelling – Kimball, Data Vault, Star/Snowflake schema, Query-first etc.</li>
<li>Data visualisation in Power BI, Tableau, Qlik or similar</li>
<li>Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies</li>
<li>One or more of the following certifications:
<ul>
<li>Microsoft Certified: Azure Data Engineer Associate</li>
<li>AWS Certified Data Analytics - Specialty</li>
<li>GCP Professional Data Engineers</li>
</ul>
</li>
</ul>
 Additional Information 
Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your&nbsp;work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. The Salary Range for this role is between $80,000 - $100,000
Benefits&nbsp;
<ul>
<li>
Group medical insurance&nbsp;
</li>
<li>
Health Savings Account with company match&nbsp;
</li>
<li>
Teladoc and informed Nurse line resources&nbsp;
</li>
<li>
Long term care plan&nbsp;
</li>
<li>
Group dental insurance&nbsp;
</li>
</ul>
<ul>
<li>
Vision plan&nbsp;
</li>
<li>
401(k) Savings Plan with company profit sharing contribution&nbsp;
</li>
<li>
Commuter and Parking tax-savings benefit&nbsp;
</li>
<li>
15 days paid vacation days with the opportunity to buy five additional days&nbsp;
</li>
<li>
10 paid Holidays plus 10 paid sick days&nbsp;
</li>
</ul>
<ul>
<li>
Company and Voluntary income protection benefits&nbsp;
</li>
<li>
Gym and health incentive reimbursement&nbsp;
</li>
<li>
Pet and legal insurance Plans&nbsp;
</li>
<li>
Employee Assistance Plan&nbsp;
</li>
<li>
Annual performance-based bonus&nbsp;
</li>
</ul>

Data Engineer

<h3>Job Description</h3>
Job DescriptionFocusKPI is looking for a&nbsp;Data Engineer on W2&nbsp;to join one of our clients, a high-tech SaaS company.&nbsp; The team is seeking a software engineer contractor to develop an internal AI platform for SPRiTEs GPT to save time for clients' writing feedback and managers' writing reviews. This AI tool will seamlessly integrate with their HC system, facilitating managers in summarizing the impact and feedback derived from existing data within Workday. Additionally, the platform will allow both managers and employees to explore their career frameworks, enabling queries and questions using the data at their disposal. This project will save the client 1,000+ hours per year by streamlining the performance review experience, while also increasing the quality of the experience. Work Location:&nbsp;Remote - anywhere in the US (Except&nbsp;New York City metro, San Francisco metro, &amp; Seattle metro) Duration:&nbsp;12-month contract Pay Range:&nbsp;$41/hr to $47/hr **No C2C resumes are considered** Responsibilities:
<ul>
<li>Help define company data assets (data model), Spark SQL jobs to populate data models.</li>
<li>Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.</li>
<li>Help define and design data integrations and data quality frameworks, as well as design and evaluate open-source/vendor tools for data lineage.</li>
<li>Design, build, and launch collections of data models that support multiple use cases across different products or domains.</li>
<li>Optimize pipelines to facilitate the easier development of data artifacts.</li>
</ul>
Qualifications:
<ul>
<li>3-5 years ofexperience is required</li>
<li>BS degree in Computer Science or related technical field</li>
<li>3+ years of Python development experience</li>
<li>3+ years of SQL, SparkSQL experience</li>
<li>3+ years of experience with schema design, dimensional data modeling, and medallion architectures</li>
<li>Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics</li>
<li>Experience designing, building, and maintaining data processing systems</li>
</ul>
 **No C2C resumes are considered**
 Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to <a href="https://reportfraud.ftc.gov/" target="_blank">https://reportfraud.ftc.gov/</a> . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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HuVbRqxHii

<h3>Job Description</h3>
Job Description
Requirement:
Role: Data Engineer &amp; Senior Data Engineer
Location: Remote or Boston, MA &amp; San Mateo, CA
Duration: FTE

Job Description:
Candidates need to be able to manage data modeling and themovement of data from any disparate system to a repository/database/datalakeusing SQL and Python to created a streaming or continuous data flow. Then the data engineer will visualize thedata using Sisense (cloud data viz technology). If candidates do not have Sisense then Tableau and Qlik are okay. Idealcandidate will be strong in SQL, python, tableau, Qlik or another cloud DV tooland mid (Boston ) to senior (San Mateo) level.

Best Regards

Krishna Chalasani
Recruitment Lead
E-mail: <a href="mailto:krishna@icsglobalsoftinc.com" target="_blank">krishna@icsglobalsoftinc.com</a>
Office:972-483-5871 | Cell: 469-301-7520

Senior Data Engineer

<h3>Job Description</h3>
Job DescriptionAbout
Candex is a rapidly growing private global B2B fintech company on a mission to reshape the way businesses transact. Our tech-based solution makes purchasing fast and easy for enterprise buyers. Recognized in the ProcureTech 100 for Procurement Innovation, our SaaS Platform and accompanying services completely transform the buying experience for large companies around the globe. Buyers enjoy the simplicity of Candex for their purchases, vendors get paid faster, and procurement teams love the increased control they gain over purchases — Everyone wins!
We serve companies in the Global 2,000 and our existing clients include some of the world's biggest corporations. We've raised over $85M from leading investors including Goldman Sachs, JP Morgan, American Express, Altos, Craft, and NFX. Available in almost 50 countries, Candex is expanding our already robust footprint and is looking for ambitious, fun people to join us on our mission to revolutionize the way businesses engage and pay their suppliers.
Position Overview
We're on the lookout for a bright and enthusiastic Associate Data Engineer to join our growing team and help us turn raw data into valuable insights. If you have a solid foundation in data engineering principles and are eager to build your skills with dbt, this could be the perfect opportunity for you. You'll play a key role in building and maintaining the data pipelines and models that power our organization's analytics and reporting. If you're a motivated and skilled aspiring Data Engineer with a growing interest in dbt, we encourage you to apply and grow with us!
The Role
<ul>
<li>Data Modeling: Contribute to the design and implementation of well-structured data models using dbt, focusing on data accuracy and consistency across different data sources.</li>
<li>Data Pipelines: Assist in developing and maintaining efficient data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.</li>
<li>dbt Development: Utilize dbt to develop reusable and maintainable data transformations, write tests, and contribute to documentation under guidance.</li>
<li>Data Quality: Help implement data quality checks and monitoring processes to ensure the reliability of our data.</li>
<li>Collaboration: Work closely with data analysts and more senior team members to understand their needs and translate them into technical solutions.</li>
<li>Optimization: Learn and contribute to the optimization of data pipelines and models for better performance and scalability.</li>
<li>Documentation: Assist in creating clear and understandable documentation for data pipelines, models, and processes.</li>
</ul>
Qualifications
<ul>
<li>Bachelor's degree in Computer Science, Data Engineering, or a related field.</li>
<li>1-3 years of experience in a Data Engineer or similar role, or relevant internships and projects.</li>
<li>Solid proficiency in SQL (e.g., Snowflake, Google BigQuery) and Python.</li>
<li>Good understanding of dbt and its core concepts.</li>
<li>Exposure to cloud platforms (e.g., AWS, GCP, Azure) is a plus.</li>
<li>Familiarity with basic data warehousing concepts and tools.</li>
<li>Strong problem-solving and analytical abilities.</li>
<li>Ability to learn quickly and work effectively both independently and within a team.</li>
</ul>
Preferred Skills:
<ul>
<li>Experience with data visualization tools (e.g., Tableau, Power BI) is a bonus.</li>
<li>Basic understanding of data governance concepts.</li>
</ul>
Why Work With Us
<ul>
<li>We are humble, hungry, intelligent and collaborative</li>
<li>Unlimited PTO and a flexible working environment</li>
<li>We offer comprehensive medical, dental, and vision, Flexible Spending Account, Health Savings Account (with an employer contribution) </li>
<li>We also provide Life Insurance, Short Term Disability and Long Term Disability</li>
<li>Wellbeing benefits through Employee Assistance Program, Spring Health and OneMedical</li>
<li>401(k) Retirement Plan</li>
<li>Home Office Setup</li>
<li>Team-building off sites and outings</li>
</ul>
Equal Opportunity Employer
Studies indicate that individuals from marginalized backgrounds, including women, often choose to apply for positions only when they fulfill all listed requirements. However, if you find that this role resonates with you even though you don't match every criterion, we strongly encourage you to get in touch with us. Our commitment to being an equal opportunity employer drives us to cultivate a workplace that celebrates diversity and inclusivity, embracing individuals from various backgrounds. Our hiring process prioritizes skills and abilities, and our wide-reaching outlook is something we take great pride in. Feel free to reach out!

Associate Data Engineer

<h3>Job Description</h3>
Job Description
OfferFit was founded by ex-McKinsey and BCG math PhDs, and we're funded by leading Silicon Valley VCs. OfferFit's AI decisioning engine supports 1:1 personalization for lifecycle marketing campaigns, powered by reinforcement learning AI. This allows marketers to test &amp; improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home, Yelp, Chime, Engie, and MetLife, among many others.
Note for Applicants: 
Data shows that men on average apply for a role if they meet 6/10 requirements while women often only do so if it's 10/10. We work hard to be clear and specific about what our roles require, and we encourage you to apply even if you don't check all the boxes! Applying gives you the opportunity to be considered and we look forward to reviewing your application!
Position Overview: 
As our customer base continues to grow with the excitement around our product, we're looking to expand! Come join our forward-deployed AI engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit! 
In particular, you will:
<ul>
<li>Collaborate with customer analytics/BI teams and OfferFit colleagues on use case setups (design, data integration, pipeline and ML model configuration, etc.) and ongoing value delivery and optimization</li>
<li>Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components</li>
<li>Work closely with the Applied Science team to improve self-learning (reinforcement learning) algorithms</li>
<li>Participate in determining OfferFit's product strategy and roadmap</li>
</ul>
Technical Landscape:
<ul>
<li>Data Science/Back End: Python (Pandas, TF, FastAPI, Great Expectations), SQL</li>
<li>Web (not required for this role): JavaScript (Vue, Node.js), HTML, CSS</li>
<li>Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP</li>
<li>Well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development</li>
</ul>
Why is it great: 
No toy datasets in notebooks — we're implementing AI pipelines in production at scale!
<ol>
<li>Be the face of the company, working alongside our customers to help them succeed.</li>
<li>Learn tons about data architecture, data science, and self-learning AI.</li>
<li>Work in a team that not only talks the talk of development best practices, but walks the walk — unit &amp; integration tests, modular design, CI/CD, pair programming, code reviews — the works.</li>
<li>Join OfferFit's fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.</li>
</ol>
Who's a Fit: 
<ul>
<li>Exceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs</li>
<li>Tinkerer: you regularly explore and learn new technologies and methods</li>
<li>Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes</li>
<li>Structured and organized: you can structure a plan, align stakeholders, and see it through to execution</li>
<li>Clear communicator: you are able to express yourself clearly and persuasively, both in writing and verbally </li>
</ul>
Additional Requirements: 
<ul>
<li>Candidates must be able to fully overlap and support North America time zones </li>
<li>Must be fluent in English, both written and verbal </li>
<li>Up to 10-15% travel for team offsite workshops, customer meetings, and industry-related events</li>
</ul>
The base salary range for this position in the United States is $112,000 - $129,000 per year plus eligibility for additional bonus ranging $13,000-$15,000; Eligibility for an end of year performance bonus, commissions (when applicable) and/or equity options may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. For non-US based candidates, base pay and overall compensation packages will be adjusted based on location. Applicants should apply via OfferFit's internal or external careers site.
OfferFit Benefits and Perks:
<ul>
<li>Generous PTO (starting at 25 days PTO per year) and Parental Leave policy (12 weeks paid)</li>
<li>100% remote work environment with flexible hours </li>
<li>Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress</li>
<li>Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health "barometer" meetings)</li>
<li>Ability to learn and develop from an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team</li>
<li>Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)</li>
<li>Competitive benefits (major medical, vision, dental and LTD) and 401K matching program</li>
</ul>
OfferFit is committed to a diverse and inclusive workplace. OfferFit is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Field Data Scientist

<h3>Job Description</h3>
Job Description
FocusKPI is looking for a&nbsp;Data Scientist &amp;&nbsp;Engineer (SAP)&nbsp;to work on&nbsp;our company’s internal projects. Our internal team is looking for a Data Scientist with a Data Engineering background and prior experience with SAP skills. This person needs to develop and optimize data architectures that support business intelligence, predictive analytics, and AI/ML applications. This role involves designing and structuring data pipelines that connect SAP, Databricks, and Microsoft CRM, enabling trend analysis, forecasting models, and AI-driven insights.&nbsp;The focus is not just on&nbsp;ETL pipelines&nbsp;but on&nbsp;building a feature store&nbsp;rather than traditional data models.&nbsp; This role requires a deep understanding of how data should be organized to support efficient reporting, historical trend analysis, and advanced analytics. Given our global operations, fluency in both English and Chinese is highly beneficial. Work Location:&nbsp;Remote - anywhere in the US Duration:9+ months contract Pay Range:&nbsp;$50+/hr (on basis of experience level)
**No C2C profiles are accepted** Responsibilities:
<ul>
<li>Use machine learning and AI techniques (e.g., predictive models, uplift models, personalization models, and NLP tools) to solve complex problems and drive business decisions</li>
<li>Build a data pipeline for model development, including gathering and building datasets, cleaning messy data, identifying assumptions, and designing a feedback loop on data needs</li>
<li>Work in an agile, collaborative environment, partnering with other data scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors</li>
<li>Assist Senior Strategy Analysts and Senior Data Scientists in project management of strategic initiatives</li>
<li>Implement and validate predictive models as well as create and maintain statistical models with a focus on big data</li>
<li>Write comprehensive and accurate model development documentation; create presentations and financial models to communicate new strategic ideas for internal departments</li>
<li>Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems</li>
<li>Solve analytical problems, and effectively communicate methodologies and results both in writing and verbally</li>
<li>Build business intelligence dashboards for internal leaders and stakeholders to track key performance indicators</li>
<li>Partner with cross-functional team to streamline data science solutions</li>
</ul>
Qualifications:
<ul>
<li>PhD or master’s degree in Computer Science, Statistics, or Data Science</li>
<li>Minimum of 4-5 years of experience in data science, building hands-on ML models, measurement, marketing strategy, and data analytics</li>
<li>Strong proficiency in data processing using&nbsp;Python&nbsp;and libraries such as Pandas, NumPy, and Scikit-learn</li>
<li>Proficient in&nbsp;SQL&nbsp;and relational databases</li>
<li>Experience working with&nbsp;large datasets</li>
<li>Experience developing natural language processing (NLP) models</li>
<li>Experience with&nbsp;MLOps (e.g., Airflow)</li>
<li>In-depth understanding of&nbsp;Machine Learning and AI&nbsp;algorithms, and model evaluation</li>
<li>Good understanding of&nbsp;SAP&nbsp;and&nbsp;CRM data. Experience with SAP would be a huge plus</li>
<li>Expertise in SAP data structures, including SAP HANA, SAP BW, OData, BAPI, and IDocs, is preferred</li>
<li>Strong understanding of&nbsp;workflow orchestration tools&nbsp;(e.g., Apache Airflow, Prefect, or Azure Data Factory) to automate and schedule data tasks.</li>
<li>Experience with&nbsp;Project management</li>
<li>Proficiency with data warehouses, cloud computing, data storage, and ETLs.</li>
<li>Familiarity with building data visualization dashboards</li>
<li>Bilingual proficiency in Chinese and English is highly preferred.</li>
<li>Strong can-do attitude and willingness to take ownership</li>
<li>Strong problem-solving skills to address complex business requests through a blend of technical expertise, logical, and creative thinking</li>
<li>Biz acumen, communication (both oral &amp; written), and storytelling skills</li>
<li>A learning and growth mindset</li>
<li>Willingness and ability to quickly learn new technology and apply it to achieve business objectives</li>
<li>They need to be&nbsp;proactive&nbsp;and have a&nbsp;sense of urgency.</li>
</ul>
**No C2C profiles are accepted**
 Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to <a href="https://reportfraud.ftc.gov/" target="_blank">https://reportfraud.ftc.gov/</a> . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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Data Scientist & Engineer (SAP)

<h3>Job Description</h3>
Job Description
CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s&nbsp; autonomous coding drives efficiency under fee-for-service and value-based care models and supports improved patient care. We are passionate about getting physicians and healthcare providers away from the keyboard and back to clinical care. Overview
The Senior Data Engineer is a member of the Data &amp; Analytics team. The Data &amp; Analytics team is responsible for executing the data strategy for the organization. The goal of the team is to ensure high quality of external data ingested into the Lakehouse that can be realized in powerful insights for our internal and external customers while ensuring our ML/AI teams have the data they need to develop and train their models.
Senior Data Engineer is responsible for designing, developing, and managing the systems and architecture required to process and analyze large datasets. They will play a key role in building scalable and efficient data pipelines, integrating various data sources, and ensuring that data is clean, reliable, and easily accessible for reporting and Analytics. They will work closely with other teams, including data scientists, business intelligence developers, and DevOps, to ensure that the organization's data infrastructure supports both current and future needs.
They support our analytics and customer onboarding teams, data scientists and software engineers on data initiatives and ensure optimal data access across the organization. As a team member, you will populate and maintain our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. You are an experienced data pipeline author and data wrangler who enjoys optimizing data systems and evolving them - and have a customer-centric approach towards the various teams who provide and consume data.
Responsibilities
<ul>
<li>Create, maintain, populate and optimize the CodaMetrix data platform and analytics architecture.</li>
<li>Assemble large, complex data sets that meet functional / non-functional business requirements using the Databricks platform.</li>
<li>Develop and manage ETL processes using Spark and Kafka to ingest, clean, and transform data from different sources (databases, APIs, external feeds, etc.) into usable formats for downstream analysis and reporting.</li>
<li>Implement data quality checks and ensure that data is accurate, consistent, and free from errors.</li>
<li>Implement data governance with data privacy and security regulations (e.g., GDPR, HIPAA).</li>
<li>Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li>
<li>Collaborate with software engineers to ensure that data infrastructure is compatible with applications and services that rely on data.</li>
<li>Optimize data processing workflows for speed, efficiency, and scalability.</li>
<li>Work with stakeholders including the Analytics, Machine Learning, Executive and Product teams to assist with data-related technical issues and support their data infrastructure needs.</li>
<li>Ensure that data infrastructure supports real-time and batch data processing.</li>
<li>Work with structured, semi-structured, and unstructured data, managing large volumes of data and ensuring its accessibility.</li>
<li>Review code, provide constructive feedback, and ensure high standards of engineering excellence within the team.</li>
<li>Lead and mentor junior and mid-level data engineers, providing guidance and training on best practices, architecture design, and data pipeline management.</li>
<li>Establish best practices for data engineering and promote their adoption across teams.</li>
</ul>
&nbsp;Requirements&nbsp;&nbsp;
<ul>
<li>Required
<ul>
<li>BS, MS degree in Computer Science, Informatics, Information Systems or other related fields or equivalent work experience</li>
<li>5+ years of working experience with Databricks platform using PySpark/Scala</li>
<li>5+ years of experience with big data technologies on data ingestion using Apache Spark, Apache Kafka, and other distributed computing tools.</li>
<li>5+ years of strong SQL experience on relational and non-relational databases (SQL, NoSQL, MongoDB, etc.).</li>
<li>Experience with object-oriented or functional programming languages: Scala, Java, and Python are all preferred</li>
<li>Experience with both structured and unstructured data formats such as Parquet, CSV, JSON, XML</li>
<li>Experience working with Terraform to provision cloud infrastructure.</li>
<li>Experience with GitHub for version control, collaborative development, and CI/CD pipelines.</li>
<li>Hands-on experience building and managing data pipelines in large-scale, cloud-based environments.</li>
<li>Good knowledge of BI Tools; Tableau is a huge plus</li>
<li>Agile Development (SDLC, Scrum, Kanban)</li>
<li>You have experience building and optimizing ‘big data’ data pipelines, architectures and data sets. You have strong analytical skills related to working with both structured and unstructured datasets. You have built processes supporting data transformation, data structures, metadata, dependency and workload management. Strong project management and interpersonal skills. Experience supporting and working with cross-functional teams in a dynamic environment.</li>
</ul>
</li>
<li>Preferred
<ul>
<li>Knowledge of HIPAA compliance requirements as well as other security/compliance practices such as PII and SOC2 a big plus</li>
<li>Experience with Streaming workloads and integrating Spark with Apache Kafka</li>
<li>Experience with consuming or authoring REST and/or SOAP web service APIs</li>
<li>Familiarity with machine learning concepts or AI applications in the context of data engineering</li>
<li>You understand what IaC means and have experience with common tools to implement it</li>
</ul>
</li>
</ul>
The estimated hiring range for this role is $115,000 - $170,000 (plus applicable bonus/plus equity). This hiring range could vary by region based upon local market data. Final salary is ultimately decided upon taking into account a wide range of factors, including but not limited to: skills and experience, licensure and certifications, education, specific location and dynamic market data.
What CodaMetrix can offer you:
Learn more about our full-time employee benefits and how we take care of our team.
<ul>
<li>Health Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance</li>
<li>Retirement: We offer a 401(k) plan that eligible employees can contribute to one month after their first day</li>
<li>Flexibility: We have a generous Paid Time Off policy, which is managed but not limited, so you can take the time you need to relax and rejuvenate</li>
<li>Learning: All new hires complete our 7-week Onboarding Program where they learn about our company and each of our departments through live sessions hosted by a variety of our leaders</li>
<li>Development: We provide annual performance evaluations and prioritize working with employees on what their individual growth looks like</li>
<li>Recognition: We recognize the outstanding achievements of our team through annual company awards where employees have the opportunity to nominate their peers</li>
<li>Office Location: A modern open plan workspace located in the bustling Back Bay neighborhood of Boston</li>
<li>Additional Employer Paid Benefits: We offer employer-paid life insurance and short-term and long-term disability insurance</li>
</ul>
Background Check Notice
All candidates will be required to complete a background check upon acceptance of a job offer.
Equal Employment Opportunity
Our company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment.
Don’t meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us.
 
Location: Boston, MA/Remote - Hybrid
Job Type: Full-time, exempt, regular
What CodaMetrix can offer you: 
Learn more about our full-time employee benefits and how we take care of our team.
<ul>
<li>Health Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance</li>
<li>Retirement: We offer a 401(k) plan that eligible employees can contribute to one month after their first day</li>
<li>Flexibility: We have a generous Paid Time Off policy, which is managed but not limited, so you can take the time you need to relax and rejuvenate</li>
<li>Learning: All new hires complete our 7-week Onboarding Program where they learn about our company and each of our departments through live sessions hosted by a variety of our leaders</li>
<li>Development: We provide annual performance evaluations and prioritize working with employees on what their individual growth looks like </li>
<li>Recognition: We recognize the outstanding achievements of our team through annual company awards where employees have the opportunity to nominate their peers</li>
<li>Office Location: A modern open plan workspace located in the bustling Back Bay neighborhood of Boston</li>
<li>Additional Employer Paid Benefits: We offer employer-paid life insurance and short-term and long-term disability insurance</li>
</ul>
Background Check Notice
All candidates will be required to complete a background check upon acceptance of a job offer.
Equal Employment Opportunity
Our company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment.
Don’t meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us.
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