[Hiring] Senior Data Engineer @Precision AQ

Role Description

Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. This is a foundational initiative, not a maintenance role.

We are hiring a Senior Data Engineer to own the development of our Bronze and Silver data layers, the ingestion, transformation, and enrichment pipelines that turn raw healthcare data into governed, reliable, and reusable data assets ready for business use.

This role exists because we need engineers who can build at the intersection of healthcare data complexity and modern data engineering best practices. You will work directly with claims, formulary, and other critical data sources, building the pipelines that feed every downstream analytics use case, product, and client deliverable.

You will report to the Engineering Director and work closely with the Enterprise Data Architect to translate architecture patterns into production-grade pipelines. This is a hands-on technical role with significant autonomy. If you want to shape how a growing healthcare and life sciences company builds its data foundation, this is the opportunity.

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, or a related technical field. Advanced degree is a plus but not required.
• 5+ years of professional data engineering experience, with at least 3 years working in modern cloud data environments.
• 2+ years hands-on experience with Snowflake, including performance tuning, Snowpipe, and Snowflake-specific optimization patterns.
• 2+ years working with dbt (Core or Cloud) in production environments, including incremental models, testing, documentation, and package management.
• Demonstrated experience with healthcare data, understanding ICD-10, NPI, NDC codes, and the messy realities of claims data quality.
• Production experience with orchestration tools, such as Airflow, Dagster, or similar.
• Strong SQL skills, with the ability to write efficient, readable, well-structured SQL and debug complex query performance issues.
• Python proficiency for data processing, scripting, and pipeline automation.

Requirements

• Experience with major claims data aggregators (e.g., McKesson, Symphony Health, IQVIA, Komodo).
• Familiarity with formulary and payer data.
• Experience implementing medallion architecture or similar layered data patterns.
• Background in life sciences, pharma services, or healthcare analytics organizations.
• Experience with data observability tools.
• Exposure to Snowpipe, Matillion, Fivetran, or other managed ingestion solutions.
• Familiarity with Git-based workflows, CI/CD for data pipelines, and infrastructure-as-code.

Benefits

• This is a remote-friendly role with flexibility for EU-based or India-based candidates.
• Occasional travel for stakeholder meetings and strategic planning sessions.

Who This Role Is For

• You want to build foundational data infrastructure in a growing healthcare and life sciences company, not maintain legacy systems.
• You’re energized by healthcare data complexity; claims data is messy, and you find that interesting rather than frustrating.
• You thrive with autonomy and accountability; you want ownership of outcomes, not just tasks.
• You care about craft; clean code, clear documentation, and maintainable systems matter to you.
• You want to see the impact of your work; the pipelines you build will power teams across the organization.

This role is not for you if

• You’re looking for a pure greenfield, no constraints environment; we have an architecture, standards, and patterns.
• You prefer highly specialized, narrow scope; this role spans ingestion, transformation, quality, and collaboration.
• You want to work in isolation; this is a collaborative team, and you’ll interact regularly within the engineering team and cross-functionally.
• You seek a management track; this is a hands-on IC role.