Xenon7 is partnering with a life sciences client in the Indianapolis, IN area to build scalable data platforms that connect scientific and clinical informatics with manufacturing process and OT data. This is a contract, full-time enterprise project engagement delivered in a hybrid setup with 3 days onsite per week, with an emphasis on hands-on engineering, architecture ownership, and governance in a highly monitored environment.

The Senior Data Engineer role is responsible for the architectural vision and day-to-day delivery of production-grade pipelines, structured datasets, and enterprise reporting foundations that support downstream machine learning enablement without requiring model training.

Responsibilities

Design, build, and maintain production-grade data pipelines and data architecture for scientific, clinical trial, and research informatics across small and large molecules, genomics, proteomics, and LIMS.
Structure complex multi-modal clinical and scientific datasets to support advanced analytics, enterprise reporting, and downstream machine learning models.
Ingest, harmonize, and model operational technology (OT) and manufacturing process datasets, including API manufacturing pipelines, batch processing data, MES, SCADA, and OSIsoft PI systems.
Unify laboratory and facility data pipelines into centralized, highly available enterprise data platforms.
Build robust ETL/ELT pipelines using modern cloud platforms including Databricks, Snowflake, and AWS/Azure, with PySpark and SQL.
Ensure pipeline integrations meet enterprise governance, data residency, and GxP regulatory standards in a heavily monitored environment.
Collaborate directly with process engineers, chemical engineering leads, and research informatics directors to translate operational friction into clear technical specifications.
Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack.

Requirements

Senior-level proficiency with 10–20+ years across software development, data platform architecture, and complex ETL/ELT engineering.
Proven ability to engineer pipelines across non-standard, specialized domains, including transitions between process/chemical engineering data and clinical/scientific research informatics.
Unrestricted US Work Authorization with no sponsorship available, and ability to work 3 days onsite per week in the Indianapolis, IN area.
Strong problem-solving, adaptability, and capability to articulate complex architecture to cross-functional engineering teams.
Advanced Python, PySpark, and expert-level SQL.
Hands-on expertise with Databricks, Snowflake, or AWS/Azure enterprise data ecosystems.
Extensive experience with Airflow, dbt, Spark, and enterprise data orchestration engines.
Experience building streaming and batch architectures via REST APIs, message brokers, and database integrations.
Deep exposure to either scientific/clinical informatics (CDISC/SDTM, LIMS, clinical trials, multi-omics) or chemical/process engineering data (API manufacturing, batch data, SCADA, MES, OSIsoft PI).

Technology Stack

Python, PySpark, SQL, Databricks, Snowflake, AWS, Azure, Airflow, dbt, Spark, REST APIs, message brokers, CDISC/SDTM, LIMS, MES, SCADA, OSIsoft PI

Location & Contract Details

Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite). Open to regional/EST candidates with onsite travel.
Contract type: Contractor Full-Time / enterprise project engagement (outsourced via Xenon7).

Nice-to-Haves & Certifications

Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or related STEM discipline.
Direct experience working inside regulated GxP environments in Life Sciences or Specialty Chemicals.
Certifications including Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional.

Role Focus (What This Position Is Not)

Not a pure Data Scientist or ML Researcher: the role designs and scales data architecture, pipelines, and platform infrastructure rather than building or training ML models.
Not a non-coding architect: this is a 100% hands-on engineering lead position requiring direct pipeline construction and technical execution.
Not fully remote: the role requires consistent hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Senior Data Engineer