Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and build scalable ETL/ELT pipelines from claims, enrollment, provider and finance sources
Implement dimensional models and data marts for BI, reporting and machine learning
Build automated validation, auditing and monitoring to catch data issues early
Tune performance and storage in the enterprise analytics data warehouse
Manage data exchanges with clients, carriers, vendors and regulatory bodies
Design and build scalable ETL/ELT pipelines:
implement dimensional models and data marts that support BI, reporting, and machine learning initiatives
Build automated validation, auditing, and monitoring processes that catch data issues before they reach stakeholders
tuning pipeline and compute performance and managing storage efficiency
Manage data exchanges with clients, carriers, vendors, and regulatory bodies
3+ years of experience in data engineering or analytics engineering, ideally within a TPA, healthcare, insurance, or claims processing environment
Strong SQL proficiency and experience in Python, Scala, or Java
Experience working with large healthcare claims datasets including medical, pharmacy, and dental claims
Hands-on experience with modern data warehouse platforms: Snowflake, Redshift, BigQuery, or Synapse
Experience with cloud platforms and cloud-native data tools: AWS Glue, Azure Data Factory, Databricks, or equivalent
Experience with data modeling concepts including star and snowflake schemas and dimensional modeling
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field — or equivalent experience; advanced degree a plus
Knowledge of TPA operations, self-funded insurance models, and employer-sponsored health plans a plus
Knowledge of population health analytics and clinical care management programs a plus
Education & Experience - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field — or equivalent experience; advanced degree a plus - 3+ years of experience in data engineering or analytics engineering, ideally within a TPA, healthcare, insurance, or claims processing environment
We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Personify Health, jobs usually come down by about day 4.
From 11,071 similar postings that came down, and 8 of Personify Health’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Technical Skills - Strong SQL proficiency and experience in Python, Scala, or Java - Hands-on experience with modern data warehouse platforms: Snowflake, Redshift, BigQuery, or Synapse
Support data integration projects: Manage data exchanges with clients, carriers, vendors, and regulatory bodies — ensuring accuracy, timeliness, and compliance with healthcare regulations. Write production SQL and Python: Develop SQL and Python programs to access, clean, and transform data prior to analysis and reporting. Build reporting automation: Develop automation solutions for operational workflows and reporting that reduce manual effort and improve consistency.
- Hands-on experience with modern data warehouse platforms: Snowflake, Redshift, BigQuery, or Synapse - Experience with cloud platforms and cloud-native data tools: AWS Glue, Azure Data Factory, Databricks, or equivalent - Experience with data modeling concepts including star and snowflake schemas and dimensional modeling
- Strong SQL proficiency and experience in Python, Scala, or Java - Hands-on experience with modern data warehouse platforms: Snowflake, Redshift, BigQuery, or Synapse - Experience with cloud platforms and cloud-native data tools: AWS Glue, Azure Data Factory, Databricks, or equivalent
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Who We Are
Because health is personal. That's why Personify Health created the first and only personalized health platform—bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.
Learn even more about the work that drives us at personifyhealth.com.
Ready To Build the Data Pipelines and Models That Power Analytics Across a Complex Healthcare TPA Platform?
Why This Role Matters
Healthcare TPA data is messy, high-stakes, and consequential — claims, enrollment, provider, and finance data that has to be accurate, timely, and compliant before it can power any meaningful analytics. This role designs and builds the pipelines, data models, and infrastructure that make that possible for the Enterprise Reporting and Analytics team. You work end-to-end: from ingestion through transformation, stakeholder collaboration, and automated reporting — owning projects from start to finish.
What You'll Actually Do
Design and build scalable ETL/ELT pipelines: Develop pipelines that ingest and transform data from claims, enrollment, provider, finance, and other sources into analytics-ready formats.
Build data models and data marts: Partner with Data Analysts, Data Scientists, and business stakeholders to implement dimensional models and data marts that support BI, reporting, and machine learning initiatives.
Ensure data quality and integrity: Build automated validation, auditing, and monitoring processes that catch data issues before they reach stakeholders.
Optimize warehouse infrastructure: Maintain and improve the enterprise analytics data warehouse — tuning pipeline and compute performance and managing storage efficiency.
Support data integration projects: Manage data exchanges with clients, carriers, vendors, and regulatory bodies — ensuring accuracy, timeliness, and compliance with healthcare regulations.
Write production SQL and Python: Develop SQL and Python programs to access, clean, and transform data prior to analysis and reporting.
Build reporting automation: Develop automation solutions for operational workflows and reporting that reduce manual effort and improve consistency.
Conduct ad hoc analysis: Support cross-functional partners in Product, Reporting, Analytics, and Account Management with targeted data analysis and findings communicated in formats aligned to client reporting standards.
Manage project workflows: Use Smartsheet, Microsoft, and Atlassian toolsets to keep projects, milestones, and documentation organized and on schedule.
Education & Experience
Technical Skills
Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive—because diversity is core to who we are and critical to our work in health and wellbeing.
Stay Safe: Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring. All official communication comes from verified company email addresses and or our secure applicant tracking system. Suspicious requests? Report them to talent@personifyhealth.com. View all legitimate openings at personifyhealth.com/careers.
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