INGENworks Apply Now Data Engineer Indianapolis, IN, US

• Posted 9 hours ago
• Updated 9 hours ago Contract W2 Contract Corp To Corp Contract Independent 6 Months No Travel Required On-site Depends on Experience Fitment Dice Job Match Score™ To see how well you match this job, please log in or create an account .

Once logged in, be sure to complete your profile to get the most accurate match score. Job Details Skills Artificial Intelligence Amazon S3 Amazon Web Services Collaboration Biotechnology Continuous Integration Data Integration Cloud Computing Continuous Delivery Data Engineering Medical Devices Microsoft Azure Pharmaceutics Plant Lifecycle Management PostgreSQL Product Lifecycle Management GxP Jama LIMS Manufacturing GMP Good Clinical Practice Google Cloud Platform Design Patterns Extract, Transform, Load Auditing Data Modeling Data Quality ELT Performance Tuning Python Quality Assurance Mapping Normalization Orchestration Testing Thread Unstructured Data SQL Regulatory Reporting Remote Desktop Services Veeva SAP MM Supply Chain Management PySpark API Advanced Analytics Regulatory Compliance Amazon RDS Analytics Query Optimization Teamcenter WMS Artificial Intelligence Amazon S3 Amazon Web Services Collaboration Biotechnology Continuous Integration Data Integration Cloud Computing Continuous Delivery Data Engineering Medical Devices Microsoft Azure Pharmaceutics Plant Lifecycle Management PostgreSQL Product Lifecycle Management GxP Jama LIMS Manufacturing GMP Good Clinical Practice Google Cloud Platform Design Patterns Extract, Transform, Load Auditing Data Modeling Data Quality ELT Performance Tuning Python Quality Assurance Mapping Normalization Orchestration Testing Thread Unstructured Data SQL Regulatory Reporting Remote Desktop Services Veeva SAP MM Supply Chain Management PySpark API Advanced Analytics Regulatory Compliance Amazon RDS Analytics Query Optimization Teamcenter WMS Show more

Summary Data Engineer Location:

Indianapolis, IN (onsite 5 days per week)

Exp:

9+

Project Details:

Pharmaceutical's client is building a governed data and AI platform, integrating device, laboratory, partner, and document data into a unified foundation that supports regulatory reporting, advanced analytics, and AI-driven scientific insights The Data Engineer is a hands-on builder responsible for developing data pipelines, API integrations, and AI infrastructure that bring structured and unstructured data into a governed Azure-based architecture. This delivery-focused role requires designing, coding, testing, and maintaining production-ready solutions across both AI document ingestion and structured ETL/ELT data engineering tracks. This role integrates structured and unstructured data from laboratory systems, product lifecycle applications, and manufacturing partners into a governed Azure-based data platform, creating a scalable, audit-ready digital thread that supports analytics, AI, and regulatory compliance. Key Responsibilities

• Design, build, and maintain production ETL/ELT pipelines integrating laboratory and operational systems (e.g., Darwin, Teamcenter/PLM, LabVantage LIMS, Jama, TurboAC, and Qdocs/Veeva) into Microsoft Azure Fabric Lakehouse and PostgreSQL.
• Develop and optimize Bronze, Silver, and Gold medallion architecture, including schema mapping, data modeling, referential integrity, and performance optimization.
• Build scalable API integrations and cross-cloud data pipelines across Azure and AWS to support enterprise data integration.
• Implement automated data quality controls, controlled vocabulary normalization, schema validation, Q-gate/specification checks, data lineage, and audit trails to ensure GxP and ALCOA+ compliance.
• Monitor, troubleshoot, and optimize pipeline performance, reliability, error handling, and operational monitoring in production environments.
• Collaborate with business, engineering, and IT teams to integrate data sources and establish a governed, scalable digital thread supporting analytics, AI, and regulatory reporting.

MUST HAVE

Experience:

• 5+ years of hands-on Data Engineering experience building production ETL/ELT pipelines and API integrations.
• Expert-level Python and/or PySpark for data ingestion, transformation, orchestration, testing, and CI/CD.
• Strong experience with Microsoft Azure Fabric (Lakehouse, Data Factory, Fabric Pipelines, Delta Lake) delivering end-to-end production solutions.
• Hands-on AWS experience, including S3, Glue (or equivalent), and RDS/Aurora.
• Strong SQL and PostgreSQL experience, including normalized schema design, query optimization, indexing, and performance tuning.
• Experience with data modeling, medallion architecture, and Lakehouse design patterns.
• Experience implementing data lineage, quality controls, schema validation, error handling, and monitoring in regulated environments.
• Knowledge of GxP, GMP, Google Cloud Platform within pharmaceutical, biotechnology, or medical device environments.(21 CFR Part 11)
• SCM, WMS, PLM, MM, QA, any validated applications with in a FDA Regulated systems Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description.

The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

91008924

Position Id:

9071521 Posted 9 hours ago Contact the job poster LC Leena Chakka Recruiter @ INGENworks View Profile Create job alert Never miss an opportunity! Create an alert based on the job you applied for. Create alert Similar Jobs Chelsoft Solutions Co. Data Engineer - Fully Remote-W2 Remote

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