Software/DevOps Engineer

Software development (~45–55%)

• Design, develop, and maintain backend services and supporting applications.
• Build and enhance data ingestion components, including integrations, transformations, and validation logic.
• Partner with teammates to debug and resolve production issues with a strong focus on root‑cause analysis and long‑term fixes.
• Develop internal tools and automation to reduce friction and improve reliability.
• Collaborate with product and data teams to ensure solutions are production‑ready and operationally sound.

Product data operations (~20%)

• Own and execute recurring product data ingestion cycles.
• Monitor ingestion runs, manage retries, and address failures or partial loads.
• Validate data completeness, timeliness, and basic quality checks.
• Coordinate with product, analytics, and support teams when ingestion issues impact downstream workflows.
• Perform root‑cause analysis on ingestion failures and implement improvements to prevent recurrence.

DevOps, release, and runtime operations (~25–30%)

• Maintain and improve CI/CD pipelines supporting application deployments.
• Coordinate application releases with engineering teammates to deliver changes safely and reliably.
• Monitor application health, logs, and alerts; respond to incidents and production issues to maintain reliable, high-performing services
• Manage environment configuration and secrets in alignment with security best practices.
• Participate in incident response and contribute to post‑incident reviews.
• Improve operational guardrails such as retries, timeouts, monitoring, and alerting.

Collaboration & leadership

• Work closely with architecture, engineering, product, data, and support teams in a highly collaborative environment.
• Provide technical guidance on platform resilience best practices and production readiness.
• Contribute to improving processes, documentation, and operational clarity across teams.
• Support data security and compliance efforts in coordination with engineering leadership.

Continuous improvement

• Identify opportunities to reduce manual operational work through pragmatic automation.
• Improve reliability and observability based on real production experience.
• Look for opportunities to simplify work, improve reliability, and help teammates deliver software more efficiently.

The skills and experience you bring to this role include:   

• Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field. 
• 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience. 
• Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow).
• Strong Python and SQL experience, including advanced query design and database optimization.
• Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required. 
• Ability to develop subject-matter expertise and partner thoughtfully with business teams.
• Trusted partner: reliable to deliver accurate work in a timely manner.
• A passion for working with a team to improve how data drives meaningful outcomes.