ICF · 2 hours ago
HR Data Engineer/Data Scientist
Reston, VA
Full-time
Onsite
Senior Level, Lead/Staff
$131K/yr - $223K/yr
8+ years expICF is a global advisory and technology services provider, and they are 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 focuses on designing and sustaining a scalable data integration capability that unifies multiple workforce-related data sources into a consistent structure suitable for HR and training systems.
ConsultingInformation TechnologyProfessional Services
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
Qualification
Required
Bachelor's degree in a related field (e.g., Data Science, Computer Science, Engineering, Mathematics, Information Systems, HR Analytics, or similar)
8+ years of professional experience in data engineering, data science, analytics, or a closely related field
Extensive experience sourcing, integrating, transforming, and validating structured and unstructured data from diverse systems (e.g., developing Spark jobs, performing data manipulation with PySpark/pandas, and authoring robust, production‑grade SQL transformations)
Proven ability to design and implement automated data workflows, integration pipelines, and large‑scale transformation logic (e.g., orchestrating pipelines using Apache Airflow, Azure Data Factory (ADF), or AWS Glue)
Hands-on experience developing predictive models, statistical analyses, or machine learning solutions (e.g., building and validating models in Python using PySpark ML, pandas, or related libraries)
Strong understanding of data quality management, validation frameworks, error‑handling approaches, data governance, master data management, and enterprise metadata practices (e.g., MDM survivorship rules, identity resolution logic, validation utilizing Great Expectations)
Demonstrated ability to facilitate requirements gathering, define business rules, and translate stakeholder needs into clear technical specifications (e.g., documenting required import fields and formats, converting business logic into ETL/ELT transformations)
Excellent communication skills with the ability to clearly convey complex technical concepts to non‑technical or cross‑functional audiences (e.g., explaining data lineage, logging, and metrics practices used to ensure pipeline traceability)
Exceptional documentation abilities and attention to detail (e.g., version-controlled artifacts in Git, CI/CD deployment documentation, and test suites using pytest and Great Expectations)
Preferred
Master's degree preferred
5+ years of experience supporting large‑scale or complex data ecosystems, preferably in government, healthcare, or highly regulated domains
Experience supporting HR import processes for enterprise systems (e.g., HRIS, LMS, identity systems)
Background working with federal clients or within environments that require strict attention to data standards, compliance, and documentation
Company
ICF
ICF is a global consulting and technology services provider focused on making big things possible for our clients.
5001-10000 employees
H1B Sponsorship
ICF has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (31)
2023 (35)
2022 (29)
2021 (31)
2020 (38)
Funding
Current Stage
Public CompanyTotal Funding
$59MKey Investors
New York State Department of TransportationU.S. Environmental Protection Agency
2023-02-13Grant· $29M
2021-03-15Grant· $30M
2006-09-28IPO
Leadership Team
John Wasson
Chairman, President and Chief Executive Officer
James Morgan
Chief Operating Officer and EVP
Recent News
2026-01-15
2025-12-15
2025-12-08
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