Senior Data Engineer, Translational Data Platforms

Scorpion Therapeutics; Tampa (FL); On-site; USD 108,000 - 131,000; Full time

Benefits offered by this job

Health insurance

401(k)

Flexible PTO

Job summary

Scorpion Therapeutics in Tampa, FL is seeking an experienced data engineer to own end-to-end translational data products and build governed ETL pipelines on Databricks/AWS. You will collaborate with governance to make new sources AI-ready and translate scientific questions into SQL/data models.

The role requires 4+ years in production ETL at scale, strong SQL/Python, and hands-on cloud/DevOps experience to support ML/GenAI workloads.

Qualifications

• B.S. (relevant) + 4+ years; production ETL/ELT at scale.
• Expert SQL (joins/windows/performance); Python.
• AWS (S3, IAM, Glue, Lambda, ECS, Fargate).
• Docker + ECS/Fargate via IaC + GitHub Actions; health checks, secrets, SSO/OIDC.
• Life sciences data experience and ability to engage with study design/science.

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).

Skills

SQL

Python

Life sciences data

GitHub Actions

Databricks

Education

B.S. in relevant field

Tools

Databricks

AWS

Docker

GitHub Actions

CloudFormation

CDK

S3

Job description

Scorpion Therapeutics in Tampa, FL is seeking an experienced data engineer to own end-to-end translational data products and build governed ETL pipelines on Databricks/AWS. You will collaborate with governance to make new sources AI-ready and translate scientific questions into SQL/data models.

The role requires 4+ years in production ETL at scale, strong SQL/Python, and hands-on cloud/DevOps experience to support ML/GenAI workloads.