Sr Data Engineer II - IT Division

Primary Location

DC-Washington

Regular

Exempt

Standard

Relocation Provided :
Yes

Compensation Grade Low : FR PAY GRADE 27

Compensation Grade High : FR PAY GRADE 27

Minimum Salary : $

Maximum Salary : $

Jul 28, 2026

Minimum Education Bachelor's degree or equivalent experience

Minimum Experience 6

Summary

Oversees and/or participates in designing and implementing data management infrastructure. Researches best practices and/or participates in building, automating, and maintaining data management systems that combine core data sources into repositories to enable reporting/visualization and analysis of data. Oversees and/or participates in writing or improving code to handle complex data processing tasks. Oversees and/or participants in product development of internal systems, tools, and platforms.

With limited direction, identifies key opportunities for improvement and technical/process enhancement to increase operational efficiencies. Explores and queries datasets, cleans and transforms data, and may develop dashboards and visualizations. Has an expert ability to use tools and technologies that protect the security of Board data.

Duties and Responsibilities

• With limited guidance, influences building and architecting next generation data management platforms on a group of core technologies. Defines the process necessary for and/or participates in developing, maintaining, and optimizing data management solutions that ensure high availability of data availability, data scalability, data quality, data integrity and data security. Oversees and/or participates in exploring new datasets, promoting data discovery and understanding, revising existing data and building and maintaining data views and aggregate data series.
  
  Queries datasets and cleans/transforms data of high complexity.
• Has an expert understanding of new/key technologies and platforms and how to incorporate third party APIs and open source/reusable components. Uses expert knowledge of new/key technologies to provide recommendations that influence the implementation of innovative solutions.
• Oversees the process of and/or participates in utilizing lean and agile software development practices such as test-driven development, refactoring, continuous integration and deployment, version control, and simple design to create quality, reusable- code. Oversees and/or participates in writing or improving code to handle complex data processing tasks, or rewriting old processes written in older languages. Oversees and/or participates in collecting ongoing data updates from external sources to establish and maintain software code used to convert raw data into usable formats.
• With limited guidance, creates and maintains programs and processes necessary to provide data for production and research. Oversees and/or participates in implementing processes and programs that monitor data quality, logging and responding to production issues, and ensures production data is always accurate and available for key stakeholders/customers and business processes that depend on it.
• Oversees and/or participates in product development of internal systems, tools and platforms supporting operational capabilities. Outlines the process for and/or participates in transitioning existing products out of legacy technology platforms. Creates new products as ad hoc requests arise.
• Communicates across technical and business product managers, as well as third parties, on complex solution design topics.
• Oversees and/or participates in integrating data from multiple sources to employ complex features of integration technologies. Reviews and refines recommendations developed by more junior staff and/or develops recommendations related to data integration strategy in order to meet future reporting and analytic needs.
• With limited guidance, influences the designing, constructing, and implementing of a database system to meet strategic needs. Researches best practices and/or participates in building data management systems that combine core data sources into data repositories to enable reporting and analysis of data. Oversees the process of and/or participates in developing, maintaining, and automating data pipelines that ingest data from a wide variety of structured, semi-structured, and unstructured data formats.
  
  Provides recommendations on database development requests.
• With limited direction, identifies key opportunities for improvement and technical/process enhancement to increase operational efficiencies, address future technological needs, and reduce costs associated with the use of internal tools.
• Oversees and/or participates in safeguarding digital data throughout its entire lifecycle to protect it from corruption, theft, or unauthorized access. Has an expert ability to use tools and technologies that protect data in transit and/or at rest through processes like data masking, encryption, and redaction of sensitive information. Coaches more junior…