Senior Engineer, Data

• You contribute meaningfully to the success of one or more projects or products, helping drive positive outcomes.

• You demonstrate proficiency and specialized skill in one or more key technologies relevant to the team’s goals.

• You accurately scope, estimate, design, and deliver medium-to-large features while actively reducing technical debt across projects or products.

• You proactively support and collaborate with team members, fostering a positive and productive team environment.

• You adhere to established team processes, ensuring a steady and reliable delivery of features to production.

These are the types of things you’ll be working on 

• Cross-functional Collaboration: Work closely with teammates, external teams, and client stakeholders to ensure quality considerations are integrated at every stage of the SDLC. 

• Test Planning and Design: Develop comprehensive test plans, test cases, and relevant documentation that align with software specifications and user requirements to ensure thorough testing of features and functionalities.

• Bug Tracking and Resolution: Utilize bug-tracking tools to document, prioritize, and track defects. Facilitate communication across teams to ensure timely and effective issue resolution.

• Quality Metrics and Standards: Establish and enforce standards and best practices. Track metrics to assess the quality of the software throughout the SDLC.

• Automate Testing Processes: Focus on increasing test coverage, speed, and accuracy to support continuous integration and deployment pipelines.

• Continuous Improvement: Continuously evaluate and recommend new QA tools, frameworks, and techniques, driving innovation and staying up-to-date with industry trends and best practices

• Compliance and Regulatory Adherence: Ensure testing procedures comply with industry standards and regulatory requirements, preparing documentation for audit purposes.

• Performance and Security Testing: Implement and conduct performance and security testing following best practices and business requirements.

• Advanced SQL. Window functions, CTEs, and the ability to read a query plan and act on it. You have tuned queries against tables large enough that a bad join was a real problem.

• PostgreSQL Schema design, indexing strategy, and migrations in a live system.

• Pipeline Ownership. Responsibility for the pipeline - Github Actions, Jenkins or similar

• Python. This is the working language of the role — ingestion handlers, validation logic, reconciliation tooling. Fluency, not familiarity.

• A validation and reconciliation instinct. You can describe how you'd prove two sources agree when neither one is authoritative, and you've had to do it.

• Comfort with data you don't control. Third-party feeds break, change format without notice, and arrive late. You design for that rather than being surprised by it.

• Event-driven ingestion on AWS specifically (Lambda, S3 events, EventBridge, Step Functions). Equivalent experience on other stacks transfers - we care that you've built it, not where.

• Pharmacy, drug pricing, formulary, or payer data experience. Direct experience with any of NCPDP, First Databank, Medi-Span, or HPMS data is a strong differentiator; we do not expect all of them.

• Orchestration tooling: Airflow, Dagster, dbt, or Step Functions.

• IAC (Infrastructure as code) - Terraform, CloudFormation, or CDK.

• Experience delivering in a FedRAMP or ATO-governed environment.

• Data quality frameworks (Great Expectations, Soda, or homegrown equivalents).

• Applied AI/ML work, particularly for anomaly detection on data feeds.