Data Engineer II

Overview

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

Why This Role Matters

Every claim, eligibility check, and provider record that flows through our systems depends on pipelines that work — every time, without exception. As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw healthcare and TPA data into clean, reliable information that analysts, business teams, and ultimately our clients and members can count on. When a pipeline breaks or data goes bad, real people feel it — a claim gets delayed, a report goes out wrong, a decision gets made on bad numbers.

Your work closing that gap between messy source data and trustworthy systems is what lets the rest of the organization move fast with confidence. Get the pipelines right, and you're not just moving data — you're moving outcomes for the members and clients who rely on us.

What You'll Actually Do

• Build ETL/ELT pipelines: Design and maintain pipelines that ingest and transform healthcare and TPA data — including claims, provider, and eligibility sources — turning raw feeds into usable, trustworthy data sets.
• Orchestrate and monitor workflows: Develop, schedule, and monitor pipelines using Airflow, Cloud Watch, ECS, and DAGs, following established CI/CD, observability, and governance practices to keep data flowing reliably.
• Develop data applications: Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle, and cloud-native databases to power downstream reporting and analysis.
• Support core healthcare data processes: Manage EDI file transfers, claims adjudication support, audits, and reporting workflows that keep compliance and operations on track.
• Own data extraction and documentation: Extract, cleanse, and load new data sets, investigating and documenting source systems so the team always knows what it's working with.
• Translate requirements into solutions: Partner with Data Analysts, Data Scientists, Product, Reporting, and Account Management to turn business needs into working data pipelines.
• Safeguard data quality and compliance: Implement quality assurance rules and automated validation that keep data accurate, complete, and secure under HIPAA and CMS regulations.
• Troubleshoot and resolve pipeline issues: Monitor pipeline health, triage incoming bugs and incidents, and resolve data flow issues — escalating complex architectural problems to senior engineers when needed.
• Contribute to data modeling decisions: Apply data modeling patterns and standards set by senior engineers, contributing your perspective to pipeline design discussions.
• Guide junior engineers: Help onboard and mentor Data Engineer I team members, sharing what you learn so the whole team levels up.
• Automate routine work: Build automation for repetitive operational workflows and reporting, cutting out manual busywork wherever possible.

What You Bring to Our Team

Education & Experience:

• Bachelor's degree in computer science, information systems, or a related field, or equivalent experience
• 3+ years in data engineering or analytics engineering, ideally within TPA, healthcare, insurance, or claims processing
• 1+ years in system/data analysis or process improvement
• 1+ years in the healthcare industry preferred
• AWS Certification preferred: AWS Certified Cloud Practitioner, Developer – Associate, or Data Engineer – Associate

Technical

Skills:

• Proficient in Python and SQL, including complex queries (pivots, window functions, date calculations)
• Hands‑on experience with orchestration tools (Airflow), containers (Docker), and CI/CD pipelines
• Exposure to healthcare EDI…