Software Engineer – Data Migrations

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22 is partnering with a fast‑growing healthcare technology company to identify a Software Engineer specializing in Data Migrations. Our client is committed to delivering precise, high‑quality healthcare data integrations that directly impact customer operations. This role is ideal for an engineer who thrives in environments where accuracy, reliability, and ownership matter.

This position sits on the client's Data Migrations team, responsible for building high‑quality, repeatable pipelines that move healthcare data with 100% accuracy. The work focuses on "small data" challenges—where completeness, correctness, and handling long‑tail edge cases matter far more than scale. You'll see immediate, tangible impact, often unblocking real customer workflows.

• Design, build, and own ETL pipelines that extract, transform, validate, and load healthcare data using Python and SQL.
• Implement robust data quality checks and monitoring to ensure accurate, complete, and repeatable migrations.
• Balance one‑off scripts with long‑term, reusable data flows based on business needs.
• Collaborate with product, implementation, and support teams to troubleshoot and resolve customer data issues.
• Contribute to migration standards, templates, and internal tools that improve speed and reliability across customers.
• Participate in code reviews and technical discussions, bringing strong judgment and prior experience.

• 6–8+ years of experience in software engineering or data engineering, including multiple roles with 2+ years of tenure.
• Background in roles such as Data Engineer, ETL Engineer, Data Integration Engineer, or Software Engineer (data pipelines).
• Strong proficiency in Python and SQL for building and operating ETL/ELT workflows.
• Experience with healthcare data (claims, eligibility, EHR/EMR, HL7/FHIR, clinical data, etc.) is a significant plus.
• A mindset focused on 100% correctness and completeness, especially in regulated or high‑stakes environments.
• Ability to independently structure ambiguous migration problems into clear, repeatable solutions.
• Comfortable collaborating with non‑engineering teams; customer‑facing experience is a plus.
• Nice to have:
  Experience with Type Script or modern web application stacks.

• Not an MLOps or large‑scale big data role—this is about precise, small‑scale healthcare data integrations.
• Not a BI/reporting or data analyst role—the focus is building and maintaining production pipelines.

• Base salary: $145,000–$165,000
• Additional compensation:
  Variable bonus + stock options.
• Location:
  
  Fully remote, U.S. based.
• Sponsorship:
  Not available for this role.