Senior Data Standards Engineer – Evinova

Evinova

Automated elt/etl pipelines
Aws services (lambda, step functions, glue)
Python, advanced sql
Architect and operate automated pipelines that keep the Data Platform current with evolving clinical dictionaries and reference datasets

Job Summary

  • Architect and operate automated pipelines that keep the Data Platform current with evolving clinical dictionaries and reference datasets.
  • Design and own fully automated ELT/ETL pipelines that detect, ingest, validate, and publish new releases of clinical dictionaries without human intervention.
  • Set engineering best practices for the data standards domain and serve as the technical authority on clinical data standards for the Data Platform team.

Matching Summary

Architect and operate automated pipelines that keep the Data Platform current with evolving clinical dictionaries and reference datasets.

Skills & Requirements

Must-have

  • Automated ELT/ETL pipelines
  • AWS services (Lambda, Step Functions, Glue)
  • Python, advanced SQL
  • Clinical data standards (CDISC, FHIR, ICH M11)
  • Terminology mapping
  • Infrastructure-as-code

Nice-to-have

  • AI/ML application experience
  • LLM-based tools integration
  • Agile/scrum methodology
  • GxP regulated environments
  • Platform or product engineering

Key Requirements

  • 8+ years data/software engineering
  • Proficiency in Python
  • Hands-on AWS experience
  • Strong database design skills
  • Thorough knowledge of CDISC, FHIR, USDM, ICH M11
  • Proven fluency in terminology mapping
  • Experience applying AI/ML techniques
  • Demonstrated leadership and mentoring ability

Work Rights

Not specified

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