Top Pharmaceutical Data Engineering Jobs

Design, develop, and maintain end-to-end data pipelines and data products for analytics. Troubleshoot complex data issues, document data sources, onboard backend and 3rd-party data, mentor peers, evaluate and deploy new tools, and collaborate with business partners to enable data-driven decisions.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Support end-to-end data engineering: gather requirements, build and monitor ETL pipelines, implement data quality, contribute to data models, run profiling and basic experiments, document solutions, and communicate progress with stakeholders.

Lead architecture and delivery of scalable, secure enterprise data and AI integration solutions. Own integration strategy, API‑first and cloud‑native designs, data product onboarding, governance, observability, and migration to Azure/Databricks/Microsoft Fabric while guiding cross-functional teams and ensuring compliance, performance, and operational readiness.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

Support design and operation of ruminant sustainability programs focused on carbon MMRV. Build quantification tools and monitoring plans, maintain emissions databases and LCA inputs, manage verification engagements, and collaborate with operations and commercial teams to deliver credible reporting and program implementation.

Build and maintain data pipelines and transformation layer using dbt and SQL; monitor replication and orchestration pipelines, add data quality checks, and develop datasets and dashboards for internal and client analytics. Collaborate with senior engineers, participate in code reviews, and gradually take on more ownership.

Manage and optimize data infrastructure through CRM integrations, SQL database administration, SFTP data transfers, reporting (SSRS, Power BI), and Dynamics configuration. Support internal users, troubleshoot integrations and applications, write scripts/stored procedures, and produce dashboards and formatted reports to enable accurate, accessible data for business decision-making.

Own and scale the Snowflake-based data platform, build and maintain reliable source pipelines (CDC, connectors, API ingestion), ensure data quality and observability, lead incident response, optimize architecture and costs, and set technical standards for the data infrastructure.

Full-time, on-site Fall internship in Los Angeles for enrolled CS/CE students. Build data structures for finance KPIs, publish dashboards to automate reporting, review and enhance reporting systems, and apply ML and LLMs to drive automation and business insights.