Data Engineer / Data Project Lead, Head Start - Remote at ICF · Reston

Data Engineer / Data Project Lead, Head Start - Remote Location: Reston, VA The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Head Start National Customer Service Improvement Project (CSIP). This roleis responsible forleading the design, development, integration, maintenance, and continuous improvement of data pipelines, workflow and task management solutions, and analytical tools that support the Office of Head Start’s (OHS) grants management, oversight, and decision-making needs. The Data Engineer / Data Project Lead oversees data-focused staff assigned to the contract, ensures high-quality, secure, and sustainable data solutions, and applies user-centered, iterative approaches to data project delivery in alignment with federal policies and system requirements. Primary 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 technicaldirectionto data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists. Design, build, andmaintaindata 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). Supportthe useof 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 practicesappropriate forfederal 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 whereappropriate. Enable data-informed decision-making through improved access totimely, relevant, and well-structured data. Analyze data workflows and business processes toidentifyopportunities for efficiency, automation, and improvement. Develop andmaintaintechnical documentation, data dictionaries, process documentation, and handoff materials. Supportthe developmentof 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. Required Qualifications: 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. Preferred Qualifications: 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. #Indeed #HSCSIP Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEOpolicy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email Candidateaccommodation@icf.com and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations. Read more about workplace discrimination rightsor our benefit offerings which are included in the Transparency in (Benefits) CoverageAct. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $81,499.00 - $138,549.00 Nationwide Remote Office (US99)