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# Senior Data Engineer

- **Company:** Akumen, Inc.
- **Location:** Camp Springs, MD, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Big Data, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, Meta-Data Management, Operational Databases, SQL Databases, Cloud Platform System, Data Ingestion, Apache Spark, SC Clearance, Data Lakes, Information Technology, AWS Data Analytics, Data Pipelines, Databricks
- **Published:** June 2, 2026
- **Apply:** https://www.disabledperson.com/jobs/72735221-senior-data-engineer

## About the Role

* Bachelors degree in Computer Science, Information Systems, Engineering, or related field.
 * Minimum of 8 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.

## Description

* 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.


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