Ascension LLC is seeking a Data Engineer I (Lightweight) to support the National Science Foundation (NSF), Office of the Chief Human Capital Officer (OCHCO) in modernizing its human capital data ecosystem and enabling enterprise-wide analytics and reporting.

This role is critical to supporting NSF’s mission to improve data quality, integration, governance, and analytics delivery across multiple HR systems and platforms. The ideal candidate will help reduce manual reporting, enable self-service analytics, and support scalable data pipelines that drive workforce insights and decision-making.

This position is ideal for a hands-on, early-to-mid career data engineer who thrives in a mission-driven federal environment and enjoys building efficient, scalable data solutions that directly impact workforce analytics, reporting automation, and enterprise data governance.

Position Summary

The Data Engineer I will support NSF OCHCO, in coordination with the Office of the Chief Information Officer (OCIO), to design, build, and maintain data pipelines, integration processes, and data quality frameworks that enable reliable workforce analytics and reporting.

The candidate will contribute to a modern data environment that supports Power BI, Tableau, Oracle Analytics Server (OAS), and other enterprise tools, ensuring data is accurate, accessible, and aligned with governance standards.

The ideal candidate is:

• Detail-oriented and technically curious
• Comfortable working across multiple data systems and formats
• Self-driven and capable of working in a semi-structured environment
• Skilled at identifying data issues and implementing scalable solutions
• Able to balance multiple priorities across operational and modernization efforts

This role supports key NSF objectives, including:

• Improving data quality, consistency, and governance
• Enabling automated reporting and analytics
• Supporting integration across HR systems and platforms
• Reducing manual data processing and reporting burden

Day-to-Day Activities

• Design, develop, and maintain data pipelines and ETL/ELT processes
• Integrate data from multiple sources including HR systems, LMS, and enterprise platforms
• Perform data transformation, cleansing, and validation to ensure high data quality
• Develop and maintain data models and datasets for analytics and reporting tools
• Support Power BI, Tableau, and OAS reporting environments with optimized data structures
• Implement data quality monitoring rules, validation checks, and exception reporting
• Troubleshoot and resolve data integration and pipeline issues
• Collaborate with business analysts, data analysts, and stakeholders to understand data needs
• Support automation of recurring reports and data workflows
• Document data processes, pipelines, and architecture for governance and knowledge sharing
• Assist in implementing data governance and access control frameworks
• Participate in Agile ceremonies and support iterative delivery of data solutions