Data Engineer

Environmental Protection Agency • Washington, DC

9d

About The Position

This position is in the Office of Inspector General’s Office of Data, Analytics, and Technology (ODAT), an independent office within the EPA. The Data Engineer builds and maintains on-premises and cloud infrastructure to collect, transform, and store data at scale, while ensuring data quality, security, and accessibility for data scientists, data analysts, statisticians, and business intelligence reporting platforms. The role supports audit, evaluation, and investigative oversight projects and provides technical leadership in developing or modernizing IT data systems.

The position is classified as Data Engineer, GS-2210-13. Duties are performed under supervision and include designing and maintaining pipelines for on-premises SQL and Oracle databases, AWS environments, BI reporting platforms, and Microsoft Office 365; implementing data architecture, governance, and compliance solutions; and developing production-grade ETL pipelines for large, disparate data from databases, APIs, and web-scraped feeds. The engineer also orchestrates workflows with Airflow or Luigi and accelerates processing with Spark, PySpark, or similar tools.

Applicants must meet the announcement’s general and technical competency standards and demonstrate at least one year of specialized experience equivalent to GS-12. Education cannot be used to qualify for the position. The position requires U.S. citizenship and suitability for federal employment. Relocation expenses are not authorized.

Requirements

• U.S. citizenship.
• Males born after December 31, 1959, must be registered for Selective Service.
• Suitability for federal employment, as determined by a background investigation.
• Meet or exceed all required general competencies at the minimum proficiency level for GS-13 and all required technical competencies for the announcement.
• At least one year of specialized experience equivalent to GS-12 in the federal sector or equivalent private-sector experience.
• Specialized experience designing a production ETL pipeline that ingests data from disparate sources into an enterprise environment feeding SQL databases and Power BI reporting endpoints.
• Specialized experience implementing compliance and governance controls, such as metadata tagging, role-based access, and data cataloging, across cloud and on-premises environments.
• Specialized experience implementing testing and monitoring strategies to guarantee data integrity.
• Specialized experience leading or participating orally in meetings to collect data and technical requirements.
• Experience must be documented in detail in the résumé and supported by the assessment process.
• Complete the required Personal Identity Verification process, provide two forms of identification, and complete federal employment and background-investigation forms.

Responsibilities

• Design and maintain data pipelines feeding on-premises SQL and Oracle databases, AWS environments, BI reporting platforms, and Microsoft Office 365.
• Build and maintain ODAT data pipelines supporting audit, evaluation, and investigative oversight projects.
• Implement data architecture, governance, and compliance solutions across on-premises and cloud environments.
• Develop production-grade ETL pipelines to ingest and transform large, disparate data from databases, APIs, and web-scraped feeds.
• Orchestrate data workflows with Airflow or Luigi and accelerate processing with Spark, PySpark, or similar tools.
• Apply advanced data modeling and analytics techniques to meet oversight needs.
• Provide technical leadership in developing or modernizing IT data systems.
• Implement controls supporting data compliance and governance, including metadata tagging, role-based access, and data cataloging.
• Implement testing and monitoring strategies to ensure data integrity.
• Lead or participate orally in meetings to collect data and technical requirements.

Benefits

• The job description states that federal employees and their families have access to a comprehensive benefits package, but does not specify individual benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed