Data Engineer (Python) - APEX
Your Impact:
You design and operatethe data pipelines that powerifapDataServices- turning curated drug, prescriptionand clinical reference data into reliable, fresh, queryabledatasets for our SaaS products and partners.
You build and maintainrobust ETL/ELT pipelines in Python with FastAPIservices, alongside our Apache Spark and Scala workloads, with strong attention to data quality, lineage, observabilityand cost.
You collaborate with product management, AI engineersand architects to design data products that unlock new AI-native features and partner integrations.
You leverageClaude Code and AI agents to accelerate pipeline development, schema migrations and analysis, and you contribute to the team's shared data-engineering skills and workflows.
You bring engineering rigourto data: testing, CI/CD, observability, schema managementand clear ownership.
Your Profile:
Several years of senior-level data engineering experience in Python, with proventrack recordon production pipelines.
Strong SQL, experience with at least one modern data stack (e.g.Airflow, dbt, Spark/PySpark, Kafka), and cloud data platforms - ideally AWS with Terraform and ArgoCD.
Effective use of AI in software engineering; experience with Claude Code (agents, skills, workflows) is preferred; AI pipelines, harnesses and context engineering are a strong plus.
Strong problem solving, innovation, proactivity, and alignment with our healthcare purpose.
Fluent English; German is a plus.