Your primary mission is eliminating manual effort from the standards lifecycle by designing and owning fully automated ELT/ETL pipelines
Job Summary
Your primary mission is eliminating manual effort from the standards lifecycle by designing and owning fully automated ELT/ETL pipelines.
Apply deep expertise in USDM, ICH M11, FHIR, and CDISC to define canonical schemas, mapping strategies, and versioning models for clinical dictionaries.
You'll join a high-performing, globally distributed Data Platform team working in agile/scrum cycles, deploying on AWS, and holding yourselves to engineering standards that support both regulated (GxP) and innovation-track workstreams.
Matching Summary
Your primary mission is eliminating manual effort from the standards lifecycle by designing and owning fully automated ELT/ETL pipelines.
Skills & Requirements
Must-have
Automated ELT/ETL pipelines
AWS Lambda, Step Functions, Glue
Python, advanced SQL
CDISC, FHIR, USDM, ICH M11
Clinical dictionaries and controlled vocabularies
Infrastructure-as-code (Terraform, AWS CDK)
Nice-to-have
AI/ML for data engineering
LLM-assisted tools
Agile/Scrum methodologies
GxP-regulated environments
Key Requirements
8+ years in data engineering or software engineering
Proficiency in Python (primary) and/or Typescript or Java
Advanced SQL
Deep, hands-on AWS experience
Strong database design skills
Thorough, hands-on knowledge of CDISC, FHIR, USDM, and ICH M11
Proven fluency in terminology mapping
Experience applying AI or ML techniques
Demonstrated ability to set technical direction and mentor engineers