ICF is a global advisory and technology services provider, and they are seeking a Data Engineer / Data Project Lead to provide technical leadership for data management and engineering activities. This role involves overseeing data-focused staff, ensuring high-quality data solutions, and leading the design and maintenance of data pipelines and analytical tools for the Office of Head Start.
Responsibilities:
- Lead planning, execution, and delivery of data management and data engineering projects supporting OHS program oversight and operations
- Apply iterative and flexible project management approaches to prioritize work based on value, user needs, and level of effort
- Coordinate closely with the Project Manager to align data project priorities with contract deliverables and performance metrics
- Supervise and provide technical direction to data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists
- Design, build, and maintain data pipelines, integrations, and automation processes using federally compliant tools and platforms
- Support integration of data from federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools
- Maintain and enhance workflow and task tracking solutions, including Smartsheet-based tools (e.g., SmartFlow)
- Support the use of the OHS Data Layer and cloud-based infrastructure to enable scalable, secure data processing and analysis
- Ensure data accuracy, integrity, and alignment across systems, mitigating competing sources of truth
- Implement and support data quality assurance, validation processes, and governance practices appropriate for federal environments
- Ensure documentation of data structures, pipelines, and processes to support knowledge transfer and continuity
- Lead development of data products, dashboards, reports, and automated outputs that support grants management, monitoring, and leadership decision-making
- Support generation of standardized documents and correspondence through automated data integration where appropriate
- Enable data-informed decision-making through improved access to timely, relevant, and well-structured data
- Analyze data workflows and business processes to identify opportunities for efficiency, automation, and improvement
- Develop and maintain technical documentation, data dictionaries, process documentation, and handoff materials
- Support the development of training materials and guidance to promote consistent use of data tools and solutions
- Respond to data-related inquiries and support ad hoc and recurring data requests from OHS staff and leadership
- Participate in briefings, meetings, and planning sessions related to data management initiatives
- Support coordination across technical and programmatic teams to ensure solutions align with operational needs
Requirements:
- Bachelor's degree in computer science, information systems, data science, or a related field from an accredited institution
- 10+ years of progressively responsible post-baccalaureate professional experience in data engineering, data management, or related technical roles
- 3+ years of supervisory or technical team leadership experience
- 3+ years of experience designing and managing complex, high-profile, multi-faceted data projects
- 3+ years of experience with data integration, ETL processes, database design, and data pipelines
- 1+ years of experience in early childhood education and/or Head Start programs
- US government issued security clearance required (will be initiated upon hire)
- Valid driver's license and ability to pass an MVR check
- Experience supporting federal information systems or federal grant programs
- Experience in applying AI or advanced analytics in data pipelines
- Demonstrated ability to communicate technical concepts clearly to both technical and non-technical audiences
- Proven ability to address team and stakeholder issues and support problem resolution
- Proficiency in SQL and at least one programming language (e.g., Python)
- Experience with APIs, data integration, and automation tools
- Experience with cloud platforms (e.g., AWS, Azure)
- Knowledge of data governance, security, and federal information system requirements
- Familiarity with project management methodologies; Agile/Scrum experience preferred