Senior Data Engineer

Xenon Seven

. Design, build, and maintain production-grade data pipelines and architecture for scientific, clinical trial, and research informatics data .

Posted 9/22/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing and maintaining production-grade data pipelines and architecture, with a strong focus on ETL/ELT processes and compliance with GxP regulatory standards. Proficient in leveraging advanced data technologies and collaborating with cross-functional teams to support scientific and clinical data initiatives.

Highest-signal resume keywords

Data Pipeline ArchitectureETL/ELT EngineeringAdvanced PythonDatabricks ExpertiseGxP Regulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT EngineeringData Pipeline ArchitectureAdvanced PythonExpert-Level SQLPySparkDatabricksSnowflakeAirflowSparkREST APIs

Soft Skills

Problem-Solving MindsetStrong AdaptabilityTechnical Communication

Tools & Technologies

DatabricksSnowflakeAWSAzureAirflowDbtSparkMESSCADAOSIsoft PI

Certifications & Qualifications

Databricks Certified Data Engineer SeniorSnowflake SnowPro CoreAWS Data Engineer Associate

Industry Keywords

Clinical InformaticsCDISCSDTMLIMSMulti-OmicsChemical EngineeringAPI ManufacturingBatch DataLife SciencesSpecialty Chemicals

Tech Stack

Tools & technologies

AirflowAWSAzureETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain production-grade data pipelines and architecture for scientific, clinical trial, and research informatics data
Structure complex, multi-modal clinical and scientific datasets for advanced analytics, enterprise reporting, and downstream machine learning models
Ingest, harmonize, and model operational technology 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 Databricks, Snowflake, AWS/Azure, PySpark, and SQL
Ensure pipelines and platform integrations adhere to enterprise governance, data residency, and GxP regulatory standards
Partner with process engineers, chemical engineering leads, and research informatics directors to translate operational needs into technical specifications
Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack
Own the architectural vision and hands-on execution of scalable data platforms and pipelines
Collaborate with process engineers, clinical scientists, and platform teams to build data infrastructure supporting drug discovery and manufacturing operations

Requirements

What you’ll need

Senior-level proficiency (10–20+ years) in software development, data platform architecture, and complex ETL/ELT engineering
Demonstrated ability to engineer data pipelines across non-standard, highly specialized domains
Must hold unrestricted US Work Authorization; no sponsorship available
Able to work 3 days per week onsite in the Indianapolis, IN area
Exceptional problem-solving mindset, strong adaptability, and ability to articulate complex technical 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
Proven track record building streaming and batch data 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)
Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline is nice-to-have
Direct experience working inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors is nice-to-have
Certifications such as Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional are nice-to-have