Data Engineer

• Build and maintain scalable data pipelines for ingestion, transformation, and integration.
• Support development of ETL/ELT workflows for data warehouses, data lakes, and analytics platforms.
• Monitor and improve data quality, reliability, and performance across the data ecosystem.
• Support cloud-based deployment, automation, and sustainment of production data systems.
• Collaborate with architects, analysts, and developers to deliver data solutions aligned with mission needs.

• Bachelors degree in Computer Science, Information Systems, Engineering, or related field.
• Minimum of 5 years of professional experience in data engineering or data integration.
• Hands-on experience building ETL/ELT pipelines using Python, SQL, or Scala.
• Experience with cloud-based data platforms and big data environments.
• Demonstrated experience with data ingestion, transformation, curation, and pipeline troubleshooting., * Advanced degree in a related field.
• Experience with Databricks, Apache Spark, and AWS data services.
• Experience supporting analytics, reporting, or machine learning data environments.
• Familiarity with data governance, data quality, and metadata management practices.
• Relevant cloud or data engineering certifications.

Clearance Requirement

Must possess an active Secret security clearance or higher, or have the ability to obtain and maintain a Secret clearance or higher in accordance with contract requirements.

Akumen is seeking a Data Engineer to support development and sustainment of modern data platforms for a federal program. This role is responsible for building and maintaining data pipelines, integration processes, and cloud-based data solutions that support analytics, reporting, and mission operations. The position supports enterprise data movement, transformation, and curation activities across multiple environments.