Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Lead root cause analysis and remediation for complex production data platform incidents
Monitor and fix errors in SFTP connections, import/export and eligibility files
Troubleshoot EDI transactions and manage EDI testing, implementations and upgrades
Validate data and reports against documented business requirements
Mentor junior engineers through coaching and knowledge transfer
Serve as the team’s primary technical escalation point for production data platform issues — performing root cause analysis, driving remediation, and preventing recurrence.
identifying and resolving errors in SFTP connections, import/export files, and eligibility files before they escalate
Analyze and troubleshoot EDI transactions: Diagnose technical issues from enrollment changes or improper EDI setup, coordinate resolution with engineering partners, and manage ongoing EDI testing, implementations, and upgrades.
Compare reports and data files against documented requirements to surface quality gaps
Mentor junior engineers: Share technical knowledge, provide hands-on guidance, and build team capability through deliberate coaching and knowledge transfer.
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field — or equivalent practical experience
Strong knowledge of relational databases: PostgreSQL, SQL Server, Oracle, or similar
3+ years of experience in Data Engineering, Data Operations, Analytics Engineering, or a production support environment
Experience with cloud data platforms: Snowflake, Azure Data Services, AWS, or Google Cloud
Proven experience supporting business-critical data platforms in a production environment
Strong understanding of ETL/ELT processes, data pipelines, and data integration patterns
Education & Experience - Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field — or equivalent practical experience - 3+ years of experience in Data Engineering, Data Operations, Analytics Engineering, or a production support 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 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 6
Similar jobs usually come down between day 6 and day 54.
At Personify Health, jobs usually 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.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience with monitoring, alerting, and observability tooling - Familiarity with Python, PowerShell, or similar scripting and automation technologies - Understanding of CI/CD practices and Git-based version control
Technical Skills - Advanced SQL development and query performance optimization - Strong knowledge of relational databases: PostgreSQL, SQL Server, Oracle, or similar
- Advanced SQL development and query performance optimization - Strong knowledge of relational databases: PostgreSQL, SQL Server, Oracle, or similar - Experience with cloud data platforms: Snowflake, Azure Data Services, AWS, or Google Cloud
- Strong knowledge of relational databases: PostgreSQL, SQL Server, Oracle, or similar - Experience with cloud data platforms: Snowflake, Azure Data Services, AWS, or Google Cloud - Strong understanding of ETL/ELT processes, data pipelines, and data integration patterns
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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 Platform Reliability, Complex Incident Resolution, and Technical Mentorship Across a Critical Healthcare Data Operation?
Why This Role Matters
When data platforms fail in healthcare, the downstream impact is immediate — clients miss SLAs, members lose access to benefits data, and teams scramble. This Senior Data Engineer role is the technical anchor that prevents that: resolving the complex incidents others can’t crack, driving root cause remediation that sticks, and building the team’s capability through mentorship and knowledge sharing. You bridge operational support and engineering excellence — and the stability of the platform reflects it.
What You'll Actually Do
Own complex incident resolution: Serve as the team’s primary technical escalation point for production data platform issues — performing root cause analysis, driving remediation, and preventing recurrence.
Monitor and manage data file exchanges: Track file movements between clients, vendors, and internal systems — identifying and resolving errors in SFTP connections, import/export files, and eligibility files before they escalate.
Analyze and troubleshoot EDI transactions: Diagnose technical issues from enrollment changes or improper EDI setup, coordinate resolution with engineering partners, and manage ongoing EDI testing, implementations, and upgrades.
Validate data against business requirements: Compare reports and data files against documented requirements to surface quality gaps and keep pipelines accurate and compliant.
Drive continuous improvement: Identify patterns in operational issues and lead initiatives that improve platform stability, reliability, and team efficiency over time.
Mentor junior engineers: Share technical knowledge, provide hands-on guidance, and build team capability through deliberate coaching and knowledge transfer.
Communicate status clearly across teams: Keep end users, the Team Lead, and the DataOps Manager informed on issue status — translating technical findings into plain language that operational teams can act on.
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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