Innovation, Data & Analytics Team, Data Engineer

Scorpion Therapeutics; Pennsylvania; Hybrid; USD 100,000 - 180,000; Full time

Job summary

Scorpion Therapeutics is seeking a Data Engineer to build and maintain production data pipelines supporting AI-driven workflows in a biopharma environment. The role emphasizes high-quality data for analytics and agentic systems, with collaboration across data science, analytics, and governance teams.

You will develop pipelines aligned with governance standards, maintain Databricks/Snowflake platforms, and implement OMOP/HEDIS data models.

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 5+ to 6+ years' experience in healthcare or pharma data engineering.
• Strong SQL and Python skills.
• Experience with cloud data platforms and ETL/ELT design.
• Healthcare data experience (claims, EHR, HEDIS/OMOP) preferred.

Responsibilities

• Develop and oversee data pipelines aligned with governance standards.
• Maintain platform reliability (Databricks, Snowflake).
• Implement canonical data models including OMOP/HEDIS mappings.
• Support downstream analytical processes.
• Collaborate with data science, analytics, and governance teams to validate data quality and document architecture.

Skills

SQL

Python

Platform reliability

Data governance

Education

Bachelor's or Master's in Computer Science or Data Engineering

Tools

Databricks

Snowflake

ETL/ELT design

Job description

Role: Data engineer responsible for building and maintaining production data pipelines supporting AI-driven workflows within a biopharma environment, ensuring high-quality, reliable data for analytics and agentic systems.

Responsibilities: develop and oversee data pipelines aligned with governance standards, maintain platform reliability (e.g., Databricks, Snowflake), implement canonical data models including OMOP/HEDIS mappings, and support downstream analytical processes. Collaborate across data science, analytics, and governance teams to validate data quality, optimize pipeline performance, and document architecture.

Qualifications: Bachelor's or Master's in Computer Science, Data Engineering, or related field with 5+ to 6+ years' experience in healthcare or pharma data engineering; strong SQL and Python skills; expertise with cloud data platforms and ETL/ELT design; healthcare data experience (claims, EHR, HEDIS/OMOP) preferred.

High-Value: focus on healthcare data within pharma, supporting AI/ML workflows, with hybrid work in US locations (NY, PA, MA, CT, Europe, Montreal). The role emphasizes operational independence, strategic thinking, and cross-functional engagement in a regulated, fast-paced environment.