Senior Data Engineer

Knowledge of data governance, security, and operational best practices 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.

About Personify Health

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.

View all legitimate openings at personifyhealth.com/careers.

Responsibilities

• Ready To Own Platform Reliability, Complex Incident Resolution, and Technical Mentorship Across a Critical Healthcare Data Operation?
• When data platforms fail in healthcare, the downstream impact is immediate — clients miss SLAs, members lose access to benefits data, and teams scramble.
• 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.
• 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.
• 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.
• 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 and keep pipelines accurate and compliant.
• Identify patterns in operational issues and lead initiatives that improve platform stability, reliability, and team efficiency over time.
• Share technical knowledge, provide hands-on guidance, and build team capability through deliberate coaching and knowledge transfer.
• 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.

Requirements

• What You Bring to Our Team 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
• Proven experience supporting business-critical data platforms in a production environment
• Experience performing root cause analysis and resolving complex technical incidents
• Demonstrated ability to mentor junior team members and provide technical leadership Technical Skills Advanced SQL development and query performance optimization

PostgreSQL, SQL Server, Oracle, or similar

• Snowflake, Azure Data Services, AWS, or Google Cloud Strong understanding of ETL/ELT processes, data pipelines, and data integration patterns
• Experience troubleshooting data quality, availability, and lineage issues
• Knowledge of data warehousing concepts and dimensional modeling
• 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

Benefits

• Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring.

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