Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and build scalable data pipelines: Develop and operate pipelines that move data from product systems into the data lake reliably and at scale.
Build and maintain curated datasets: Construct and sustain large-scale transformations and curated datasets on open table formats consumed by Reporting & Analytics.
Implement data quality and monitoring: Build data quality checks, freshness monitoring, alerting, and lineage so problems are caught before users notice them.
What You'll Actually Do Design and build scalable data pipelines: Develop and operate pipelines that move data from product systems into the data lake reliably and at scale. Build and maintain curated datasets: Construct and sustain large-scale transformations and curated datasets on open table formats consumed by Reporting & Analytics.
Design and build scalable data pipelines: Develop and operate pipelines that move data from product systems into the data lake reliably and at scale. Build and maintain curated datasets: Construct and sustain large-scale transformations and curated datasets on open table formats consumed by Reporting & Analytics. Implement data quality and monitoring: Build data quality checks, freshness monitoring, alerting, and lineage so problems are caught before users notice them.
Build and maintain curated datasets: Construct and sustain large-scale transformations and curated datasets on open table formats consumed by Reporting & Analytics. Implement data quality and monitoring: Build data quality checks, freshness monitoring, alerting, and lineage so problems are caught before users notice them. Apply PII/PHI security and privacy controls: Implement access management, masking, encryption, and auditability across the platform to meet regulatory requirements.
5+ years in data or software engineering, with at least 3 years focused on data platforms or big data
Strong experience building and operating data pipelines and data lakes
Experience with distributed systems and microservices as data producers preferrd
Hands-on experience with open table formats — Apache Iceberg or Delta Lake — including schema evolution, partitioning, and time travel
Solid experience with workflow orchestration tools such as Airflow, Dagster, or similar
Practical experience with data governance covering data quality, PII/PHI handling, and freshness monitoring
Experience in healthcare, benefits, insurance, or another regulated industry a plus
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
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Day 14
Similar jobs usually come down between day 6 and day 54.
Well past Personify Health’s usual: its jobs come down by about day 4.
From 11,224 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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- Practical experience with data governance covering data quality, PII/PHI handling, and freshness monitoring - Strong SQL and Python proficiency - Apache Spark experience preferred
- Strong experience building and operating data pipelines and data lakes - Hands-on experience with open table formats — Apache Iceberg or Delta Lake — including schema evolution, partitioning, and time travel - Solid experience with workflow orchestration tools such as Airflow, Dagster, or similar
- Apache Spark experience preferred - Apache Kafka and event-driven architecture experience preferred - Experience with distributed systems and microservices as data producers preferrd
- Strong SQL and Python proficiency - Apache Spark experience preferred - Apache Kafka and event-driven architecture experience preferred
- Hands-on experience with open table formats — Apache Iceberg or Delta Lake — including schema evolution, partitioning, and time travel - Solid experience with workflow orchestration tools such as Airflow, Dagster, or similar - Practical experience with data governance covering data quality, PII/PHI handling, and freshness monitoring
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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 Own Complex Pipeline Work End-to-End on a Data Platform Built to Power Analytics and AI at Scale?
Why This Role Matters
Data Platform Engineering exists to make the handoff from product data to analytics insight reliable and invisible. As a Senior Data Platform Engineer, you’re the person teammates trust to get complex pipeline work right — designing, building, and operating the pipelines, transformations, and data quality systems that Reporting & Analytics depend on every day. You own your work from design through production, and you build it in ways others can reuse.
What You'll Actually Do
Design and build scalable data pipelines: Develop and operate pipelines that move data from product systems into the data lake reliably and at scale.
Build and maintain curated datasets: Construct and sustain large-scale transformations and curated datasets on open table formats consumed by Reporting & Analytics.
Implement data quality and monitoring: Build data quality checks, freshness monitoring, alerting, and lineage so problems are caught before users notice them.
Apply PII/PHI security and privacy controls: Implement access management, masking, encryption, and auditability across the platform to meet regulatory requirements.
Onboard new data sources: Bring new product delivery team data sources onto the platform cleanly and quickly, defining the data contracts behind them.
Tune performance and manage cloud cost: Optimize pipeline and table performance while monitoring and controlling cloud infrastructure costs.
Contribute to design and code reviews: Participate in architecture and code reviews, sharing knowledge and raising the technical quality of the team’s output.
Support on-call and incident response: Share on-call responsibility for the platform and respond to incidents with urgency and thoroughness.
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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