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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Clinical Data Engineer - **Company:** Astellas Pharma - **Location:** Northbrook, IL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Automation of Tests, Bioinformatics, Health Informatics, Clinical Data Management, Clinical Data Repository, Clinical Terminology Servers, Clinical Trial Management Systems, Cloud Storage, Databases, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Distributed Computing Environment, File Transfer, Design of User Interfaces, JSON, Python (Programming Language), Metadata, Performance Tuning, Scrum Methodology, Release Management, Cloud Services, Standard Sql, Search Technologies, Software Configuration Management, SQL Databases, Systems Integration, Technical Data Management Systems, Management of Software Versions, Extensible Markup Language (XML), Parquet, File Transfer Protocol (FTP), Apache Spark, Software Troubleshooting, Git, Data Lakes, Semi-structured Data, Information Technology, Non-relational Database, Machine Learning Operations, Restful APIs, Data Pipelines, GXP, Databricks - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/clinical-data-engineer-northbrook-il--bb67f705-5b5b-4034-8f03-edb55e3bccd3 ## About the Role * Bachelor's or master's degree in Computer Science, Data Engineering, Health Informatics, Bioinformatics, Life Sciences, or a related technical discipline. * Five or more years of experience building and supporting enterprise-scale data pipelines, curated datasets, and reusable data products on cloud data platforms. * Strong SQL and Python skills, with experience in ETL/ELT, orchestration, distributed processing, data warehousing, dimensional/canonical modelling, schema design, and API or interface development. * Hands-on experience designing and supporting data integrations using REST APIs, relational and non-relational database connectivity, flat-file transfers, SFTP, cloud storage and managed integration services, and structured or semi-structured formats such as JSON, XML, CSV, and Parquet. * Experience with Databricks, Apache Spark, Delta Lake, or comparable technologies and with production-grade data product operations * Experience implementing data contracts, quality controls, metadata, lineage, documentation, automated testing, Git-based development, CI/CD, monitoring, and schema evolution. * Strong troubleshooting, performance-tuning, communication, and cross-functional collaboration skills. * Experience working in Agile, product-oriented delivery environments with backlog-driven incremental releases., * Experience supporting pharmaceutical Clinical Development, Clinical Operations, or Clinical Data Management. * Familiarity with Clinical data system (such as CTMS, EDC, IRT, eTMF, RBQM, safety, laboratory, regulatory, or clinical vendor systems). * Experience with Unity Catalog, dbt or comparable transformation tooling, MLflow, vector search, semantic models, APIs, or generative AI. * Familiarity with CDISC standards, clinical terminology, GxP, 21 CFR Part 11, privacy, validation, and regulated environments. * Demonstrated experience designing products for reuse by multiple consumers, analytics teams, applications, or AI use cases. Working Environment * Hybrid work arrangements (on-site/work from home) from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. The role may require collaboration across global time zones and limited international travel. ## Description We are seeking an experienced Clinical Data Engineer to design, deliver, evolve, and operate domain-specific data solutions, integrations, and reusable, governed clinical data products across the R&D technology landscape. The role applies fit-for-purpose technologies-including Databricks where appropriate-to meet R&D business needs. Success is measured by trusted solutions with clear ownership, data contracts, quality expectations, metadata, service levels, and reusable consumption patterns. Working with clinical stakeholders, Data Product Owners, Domain Data Architects, Domain Data Modelers, Data Governance Specialists, Data Scientists, and Platform Engineers, this role translates prioritized business outcomes into production-ready data solutions and products. The role collaborates with Platform Engineers responsible for shared platform capabilities, standards, and enablement., * Design, build, test, deploy, maintain, and support reliable data pipelines, integrations, curated datasets, and reusable clinical data products from discovery through production. * Partner with Data Product Owners, business stakeholders, application teams, and architects to translate roadmaps, requirements, and acceptance criteria into incremental engineering deliverables and production releases. * Develop fit-for-purpose data solutions across the R&D technology landscape, using Databricks and other appropriate database, integration, orchestration, and processing technologies. * Integrate structured and semi-structured data from clinical, laboratory, regulatory, quality, safety, and external-provider systems to support business processes, applications, analytics, AI, and reusable data products. * Translate approved data designs and business requirements into scalable technical data models and implementation patterns. * Collaborate with Data Governance and Quality stakeholders to embed data quality, ownership, lineage, metadata, security, privacy, retention, validation, GxP, 21 CFR Part 11, and other applicable compliance requirements using appropriate governance technologies * Design and implement fit-for-purpose data interfaces and consumption patterns, including governed tables and views, APIs, semantic models, feature datasets, vector indexes, and agent-ready assets, with appropriate versioning and backward compatibility. * Apply Devops Practices, including source-code management, CI/CD, automated testing, peer review, environment promotion, controlled releases, and reusable engineering standards, templates, components, and accelerators. * Optimize SQL and Spark workloads, databases, integrations, compute, storage, and workflows for performance, reliability, scalability, resilience, and cost efficiency. * Work in Agile delivery teams, contributing to backlog refinement, sprint planning, demonstrations, retrospectives, release planning, operational readiness, and measurable business outcomes.