Data Engineer
Brooksource
Job Description
Data Engineer
\nBrooksource Pharmaceutical Client | Indianapolis, IN (Hybrid)
\nOverview
\nBrooksource is seeking a Data Engineer to support a leading pharmaceutical organization focused on advancing drug delivery technologies and digital innovation. This role will be responsible for building scalable data pipelines, integrating enterprise systems, and supporting AI-enabled data solutions within a modern cloud environment.
\nResponsibilities
\nData Engineering & Integration
\n- \n
- Design, build, and maintain ETL/ELT pipelines using Microsoft Azure Fabric and PostgreSQL. \n
- Integrate laboratory, quality, product development, and business systems into a governed data platform. \n
- Develop API integrations and data ingestion frameworks for structured and unstructured data sources. \n
- Implement data quality checks, monitoring, logging, and operational support processes. \n
- Build AI-ready document ingestion pipelines supporting semantic search and retrieval capabilities. \n
Cloud & Platform Development
\n- \n
- Develop and maintain cloud-based data solutions using Azure Fabric and AWS services. \n
- Build containerized applications and support CI/CD deployment processes. \n
- Manage secure access, authentication, and data governance practices. \n
- Collaborate with architects, analysts, and business stakeholders to implement scalable data solutions. \n
Data Modeling
\n- \n
- Design and support relational database structures and data lakehouse architectures. \n
- Implement Bronze, Silver, and Gold data models and transformation layers. \n
- Ensure data lineage, traceability, and auditability across the data ecosystem. \n
Required Qualifications
\n- \n
- 5+ years of hands-on Data Engineering experience. \n
- Strong Python development experience. \n
- Experience building production ETL/ELT pipelines. \n
- Hands-on experience with Microsoft Azure Fabric. \n
- Experience with PostgreSQL and relational database design. \n
- Experience developing REST APIs and system integrations. \n
- Familiarity with AWS data services. \n
- Experience with modern data architecture concepts including medallion/lakehouse frameworks. \n
- Strong understanding of data quality, governance, monitoring, and operational support. \n
Preferred Qualifications
\n- \n
- Experience in pharmaceutical, biotechnology, medical device, or other regulated industries. \n
- Familiarity with GxP, 21 CFR Part 11, or ALCOA+ data integrity principles. \n
- Experience with LIMS, PLM, quality, or laboratory systems. \n
- Experience with AI/LLM integrations, vector databases, or semantic search solutions. \n
- Azure or AWS certifications. \n
- Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code. \n
What You'll Bring
\n- \n
- Strong hands-on engineering mindset. \n
- Ability to build, deploy, and support production systems. \n
- Experience working in cross-functional technical teams. \n
- Passion for leveraging data and AI to drive business impact. \n
Benefits & Perks:
\nBrooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
\n \nPay Disclaimer:
\nThe pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
\n \nWe are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
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