Data Engineer / Data Project Lead, Head Start - Remote

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