Data Engineer Data Project Lead, Head Start

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 role is responsible for leading 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 Starts (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 AMSGrantSolutions and the TTA Hub into operational and analytical tools.
• Maintain and enhance workflow and task tracking solutions including Smartsheet-based tools ().
• 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.

RequiredQualifications:

• Bachelors degree in computer science information systems data science or a related field from an accredited institution.
• 10 yearsof progressively responsible post-baccalaureate professional experience in data engineering data management or related technical roles.
• 3years of supervisory or technical team leadership experience.
• 3 yearsofexperience 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 ofexperienceinearly childhoodeducation and/or Head Start programs.
• 1 years of experience with federal systems such as HSES AMS GrantSolutions and the TTA Hub into operational and analytical tools.
• US government issued security clearancerequired(will beinitiatedupon hire)
• Valid drivers license and ability to pass an MVR check.

Preferred Qualifications:

• Experience supporting federal information systems or federal grant programs.
• Experience inapplying 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.
• Proficiencyin 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.

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Working at ICF

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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 :

$81499.00 - $138549.00

Nationwide Remote Office (US99)

Required Experience:

Senior IC