Senior Data Engineer

Role & Impact:

• Lead the design and evolution of a scalable, multi-product data platform to support growth from 600K to 2.5M+ patients and expansion into new therapeutic areas.
• Drive large, cross-team engineering initiatives end-to-end, from architecture and planning through production, while owning dependencies and aligning stakeholders.
• Partner with data science, product, and commercial teams to deliver reliable, AI-driven data solutions, ensuring alignment and enabling high-confidence outcomes.

Technical Responsibilities:

• Architect, build, and optimize robust batch and streaming data pipelines with a focus on scalability, reusability, and enabling downstream team ownership.
• Modernize legacy systems into future-state, AI-first data infrastructure by defining best practices, improving observability, and advancing monitoring capabilities.
• Utilize ETL systems like DBT, Airflow, and Dagster, along with technologies such as Databricks, Kafka, Spark, and cloud providers like AWS.

Qualifications & Culture:

• Possess 7+ years of experience in Data or Software Engineering, with a Bachelor’s degree in CS (Master’s preferred) and proficiency in SQL, Python, and a JVM language like Java.
• Demonstrate ownership by taking proactive leads on work, maintaining a growth mindset to embrace challenges and learn from mistakes.
• Exhibit curiosity, a willingness to amplify others through teaching and learning, and transparency in providing effective feedback and sharing information openly.