Senior Data Platform Engineer – Life Sciences (Hybrid Indy)

Socket.dev; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

Xenon7 is seeking a Senior Data Engineer with extensive data platform experience to drive data initiatives for a top-tier life sciences client. You will own architectural vision and hands-on pipelines across research informatics and manufacturing data.

This 3-day onsite hybrid role in Indianapolis partners with process engineers, clinical scientists, and platform teams to build scalable data infrastructure that accelerates drug discovery and manufacturing operations.

Qualifications

• Advanced Python, PySpark, and SQL proficiency required.
• Experience with designing scalable data platforms for complex datasets.
• Background in regulated life sciences or similar domains is a plus.

Responsibilities

• Design, build, and maintain production-grade data pipelines and architecture for scientific and clinical data.
• Structure multi-modal datasets to enable analytics, reporting, and ML readiness.

Skills

Python

PySpark

SQL

Education

Chemical Engineering

Bio-process Engineering

Computer Science

Tools

Databricks

Snowflake

AWS/Azure

Job description

Xenon7 is seeking a Senior Data Engineer with extensive data platform experience to drive data initiatives for a top-tier life sciences client. You will own architectural vision and hands-on pipelines across research informatics and manufacturing data.

This 3-day onsite hybrid role in Indianapolis partners with process engineers, clinical scientists, and platform teams to build scalable data infrastructure that accelerates drug discovery and manufacturing operations.