Senior Data Engineer — Translational Data Products
Bristol Myers Squibb
August 26, 2026
Remote friendly (Tampa, FL)
United States
IT
Responsibilities:
- Own end-to-end translational data products; document data locations, unlock source systems, perform entity mapping/modeling/validation, and ensure products answer high-value scientific questions.
- Build and maintain ETL/data-normalization pipelines on Databricks/AWS creating governed, well-documented datasets in Unity Catalog (tables/views).
- Partner with data owners/governance to bring new sources under governance and make them AI-ready (cataloged, described, permissioned, quality-checked, discoverable).
- Translate scientific/business questions into data models and SQL query mappings; document constraints/context for stakeholders.
- Apply test/validation-driven practices: data quality checks, reconciliation to source, unit/regression tests running on every PR (GitHub Actions).
- Engineer for robustness: infrastructure-as-code (CDK/CloudFormation), automated checks, security/SDLC compliance, scanning (Wiz/Dependabot), and timely remediation.
- Prepare feature/model-ready datasets and support ML/GenAI workloads; support data product deployment/accessibility on NVIDIA clusters.
Required Qualifications/Skills:
- B.S. (relevant) + 4+ years; production ETL/ELT at scale.
- Expert SQL (joins/windows/performance; verify correctness); Python.
- AWS (S3, IAM, Glue, Lambda, ECS, Fargate).
- Docker + ECS/Fargate via IaC + GitHub Actions; health checks, secrets (parameter store), SSO/OIDC; maintain MCP servers.
- CloudOps/DevOps monitoring + incident response; GitHub fluency; CLI (git/shell/AWS/Databricks) and daily use of Claude Code.
- Life sciences data experience (clinical, molecular/omics, assay outputs) and ability to engage with study design/science.
Preferred:
- Translational medicine/biomarker/biospecimen domain; SDTM/ADaM/EDC; Databricks (Unity Catalog/Delta Lake/DLT); omics modality depth or digital pathology/imaging.
- Extending Claude Code; ML feature/RAG/GenAI data prep; data governance/metadata (lineage, contracts, access models).
Compensation/Benefits (as stated):
- Compensation range(s): $118,650–$143,778 (Cambridge Crossing) or $107,870–$130,707 (Princeton–NJ; Tampa–FL).
- Health, wellbeing, 401(k), disability/life insurance; flexible time off/PTO as described in the posting.
- Own end-to-end translational data products; document data locations, unlock source systems, perform entity mapping/modeling/validation, and ensure products answer high-value scientific questions.
- Build and maintain ETL/data-normalization pipelines on Databricks/AWS creating governed, well-documented datasets in Unity Catalog (tables/views).
- Partner with data owners/governance to bring new sources under governance and make them AI-ready (cataloged, described, permissioned, quality-checked, discoverable).
- Translate scientific/business questions into data models and SQL query mappings; document constraints/context for stakeholders.
- Apply test/validation-driven practices: data quality checks, reconciliation to source, unit/regression tests running on every PR (GitHub Actions).
- Engineer for robustness: infrastructure-as-code (CDK/CloudFormation), automated checks, security/SDLC compliance, scanning (Wiz/Dependabot), and timely remediation.
- Prepare feature/model-ready datasets and support ML/GenAI workloads; support data product deployment/accessibility on NVIDIA clusters.
Required Qualifications/Skills:
- B.S. (relevant) + 4+ years; production ETL/ELT at scale.
- Expert SQL (joins/windows/performance; verify correctness); Python.
- AWS (S3, IAM, Glue, Lambda, ECS, Fargate).
- Docker + ECS/Fargate via IaC + GitHub Actions; health checks, secrets (parameter store), SSO/OIDC; maintain MCP servers.
- CloudOps/DevOps monitoring + incident response; GitHub fluency; CLI (git/shell/AWS/Databricks) and daily use of Claude Code.
- Life sciences data experience (clinical, molecular/omics, assay outputs) and ability to engage with study design/science.
Preferred:
- Translational medicine/biomarker/biospecimen domain; SDTM/ADaM/EDC; Databricks (Unity Catalog/Delta Lake/DLT); omics modality depth or digital pathology/imaging.
- Extending Claude Code; ML feature/RAG/GenAI data prep; data governance/metadata (lineage, contracts, access models).
Compensation/Benefits (as stated):
- Compensation range(s): $118,650–$143,778 (Cambridge Crossing) or $107,870–$130,707 (Princeton–NJ; Tampa–FL).
- Health, wellbeing, 401(k), disability/life insurance; flexible time off/PTO as described in the posting.