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# AWS MDM / Big Data (Data Lake) Engineer

- **Company:** Virtual, Inc.
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Cloud Engineering, Data Architecture, Data Discovery, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Meta-Data Management, Data Mesh, Enterprise Data Management, Data Ingestion, Data Lakes, AWS Lake Formation, AWS Glue, AWS Data Analytics, Data Pipelines, OpenSearch
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9279933/aws-mdm-big-data-data-lake-engineer

## About the Role

* 5+ years of data engineering experience with hands-on AWS delivery.
 * Experience with data ingestion, transformation, catalogs, and lake architectures.
 * Strong understanding of data governance and secure access controls.
 * Hands-on AWS cloud experience and ability to work effectively in highly controlled environments., * Data mesh or zero-trust data architecture experience.
 * Athena, OpenSearch, EMR, or complex metadata management platforms.
 * Relevant AWS professional or specialty certifications; Security+ or CISSP where applicable., * You are an excellent communicator in writing and speaking.
 * You have the ability to work independently but also value teamwork.
 * Your problem-solving skills are excellent.
 * You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career.
 * You seek a community of virtue-centered co-workers and clients.

## Description

Virtual Service Operations (VSO) is seeking an experienced AWS MDM / Big Data (Data Lake) Engineer to join a highly skilled team delivering advanced cloud engineering capabilities for a mission-critical, security-sensitive initiative. Shape the next generation of secure enterprise data platforms. You will help make complex datasets discoverable, governed, and useful through scalable AWS data engineering and modern data architecture. You will work with experienced technical partners in a collaborative environment where careful engineering and measurable results matter., * Design and evolve AWS data lakes using Amazon S3, AWS Glue, and Lake Formation.

 * Build and maintain metadata catalogs, schema ingestion, and data discovery capabilities.
 * Create ETL/ELT pipelines and optimize data access for analytics workloads.
 * Implement fine-grained data governance, tagging, and attribute-based access patterns.