Senior Data Engineer – Life Sciences (Hybrid, 3 Days Onsite)

Socket.dev; Cincinnati (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

Xenon7 is seeking a Senior Data Engineer to own architecture and hands‑on delivery of scalable data platforms for a life sciences client. You will bridge diverse data domains from genomics to manufacturing data and collaborate with process engineers and scientists in a 3‑day onsite hybrid setting in Indianapolis.

Requires 10+ years in data platform engineering, deep SQL/Python skills, and experience with Databricks, Snowflake, and cloud ETL tooling.

Qualifications

• 10+ years of software development, data platform architecture, and ETL/ELT engineering.
• Experience with scientific/clinical informatics or chemical/process engineering data is highly desirable.
• Ability to own architecture and hands‑on delivery of scalable data platforms.

Responsibilities

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

Skills

Python

PySpark

SQL

Problem solving

Education

Chemical Engineering or related STEM

Bio-process Engineering or CS background

Tools

Databricks

Snowflake

AWS/Azure

Airflow

dbt

Spark

Job description

Xenon7 is seeking a Senior Data Engineer to own architecture and hands‑on delivery of scalable data platforms for a life sciences client. You will bridge diverse data domains from genomics to manufacturing data and collaborate with process engineers and scientists in a 3‑day onsite hybrid setting in Indianapolis.

Requires 10+ years in data platform engineering, deep SQL/Python skills, and experience with Databricks, Snowflake, and cloud ETL tooling.