HR Data Engineer/Data Scientist

ICF is seeking a highly capable HR Data Engineer / Data Scientist to support a large federal client in modernizing its enterprise learning and workforce data ecosystem. This role centers on designing and sustaining a scalable data integration capability that unifies multiple workforce-related data sources into a consistent, validated structure suitable for downstream HR and training systems. This position requires expertise in enterprise data engineering, workflow automation, data quality frameworks, metadata governance, and the translation of complex business rules into reliable technical logic. The ideal candidate brings experience working with HR, identity, or workforce-related datasets in large organizations and can partner directly with senior stakeholders across technical and business domains. 

Prior experience working in federally-regulated environments and proximity to the DC-Maryland-Virginia (DMV) area with the ability to go onsite as needed is strongly preferred. 

Key Responsibilities 

• Design, build, and maintain automated pipelines that unify multiple HR and workforce‑related datasets into standardized, validated outputs. 

• Develop and document transformation rules, business logic, mapping structures, and data quality checks to ensure accuracy and consistency. 

• Create scalable workflows for ingesting structured and semi‑structured data from diverse systems with varying formats and update cycles. 

• Implement validation routines, anomaly detection, and error‑handling mechanisms to maintain reliable, high‑quality data products. 

• Produce well‑structured, standardized outputs compatible with enterprise learning or workforce management platforms. 

• Collaborate with technical and non‑technical stakeholders to refine requirements, resolve data ambiguities, and support decision‑making. 

• Maintain alignment with enterprise‑wide data standards, schemas, and governance guidance as they evolve. 

• Participate in cross‑team or cross‑agency coordination forums to represent program needs and communicate the impact of data‑related decisions. 

• Develop and execute test plans, including business‑rule validation, regression checks, and iterative QA cycles. 

• Identify process improvements, integration gaps, and opportunities to enhance automation, scalability, and sustainability. 

• Ensure solutions continue functioning amid changes to enterprise systems, dependencies, or data availability. 

• Prepare and deliver technical documentation, operational procedures, and knowledge‑transfer materials for long‑term maintainability. 

• Communicate risks, dependencies, and technical impacts clearly and proactively to project managers, leadership, and governance groups. 

Basic Qualifications 

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