Mid-Level Data Engineer

Nakupuna Companies • Arlington, VA

1d • Hybrid

About The Position

Overview Nakupuna Prime is looking for a Data Engineer to design, build, and maintain data pipelines and data warehouse infrastructure to ensure reliable, scalable, and secure data integration that supports reporting and analytics. This is a mid-level role expected to execute data integration work independently and escalate complex issues to senior engineering as needed. This effort supports the United States Naval Community College (USNCC).

Requirements

• Hands-on experience designing and maintaining ETL/ELT pipelines using Python and SQL.
• Working knowledge of data warehouse concepts, schema design, and performance optimization.
• Experience implementing data quality checks, logging, and monitoring to detect pipeline failures and data anomalies.
• Ability to troubleshoot and remediate data discrepancies and integration issues across multiple source systems.
• Experience collaborating with BI developers and analysts to validate transformations and definitions.
• This position requires a bachelor’s degree in Engineering, Computer Science, or equivalent.
• This position requires access to military installations.
• Must be able to qualify for and obtain base access and pass a background check.
• Must be a U.S. citizen.
• This position is hybrid. Work will be done on site at least three (3) days a week in Arlington, VA. Remote candidates will be considered.
• Ability to perform repetitive motions with the hands, wrists, and fingers.
• Ability to engage in and follow audible communications in emergency situations.
• Ability to sit for prolonged periods at a desk and working on a computer.
• Ability to walk for extended periods throughout the work day including moving between buildings and covering long distances by foot.

Nice To Haves

• 5+ years of data engineering experience designing ETL/ELT pipelines and data warehouse architecture
• Advanced SQL skills (PostgreSQL, Redshift)
• Experience with Python-based ETL development and automation
• Familiarity with Salesforce data models is preferred
• Experience implementing monitoring, logging, and data quality checks
• Occasional travel may be required.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using Python and SQL to ingest data from Salesforce Education Cloud, flat files, and API endpoints into the data warehouse.
• Implement robust error handling, logging, and automated monitoring to detect and track data quality issues.
• Define schemas and curate unified student datasets with targeted completeness and accuracy for downstream reporting and modeling.
• Optimize AWS Redshift and PostgreSQL performance through tuning, query optimization, and storage management.
• Serve as escalation point for complex data discrepancies and pipeline failures; provide root-cause analysis and permanent fixes.
• Coordinate with analysts and BI developers to validate transformations and resolve mismatches.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees