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# AWS Data Engineer

- **Company:** Virtual, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Information Systems, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Dimensional Modeling, Identity and Access Management, Python (Programming Language), Role-Based Access Control, SQL Databases, Data Streaming, Workflow Management Systems, Data Logging, Data Processing, Snowflake, Apache Spark, Git, Cloudformation, Data Lakes, Pyspark, Semi-structured Data, Infrastructure Automation Frameworks, Information Technology, AWS Data Analytics, Apache Kafka, Terraform, Software Version Control, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9245713/aws-data-engineer

## About the Role

Virtual Service Operations is searching for an AWS Data Engineer to join our team. You'll work with Python, PySpark, SQL, and AWS services like Glue, Redshift, and EMR to deliver secure, reliable, and well-modeled data solutions. Candidates should bring 5+ years of data engineering experience (3+ with AWS)., * Strong proficiency in Python and SQL; experience with PySpark/Spark.

 * Experience building and supporting production ETL pipelines with large datasets.
 * Solid understanding of data warehousing concepts, dimensional modeling, and data lake architecture.
 * Experience with version control (Git) and Agile delivery.
 * Strong communication skills and ability to work with technical and non-technical stakeholders., * AWS certifications (Data Engineer - Associate, Solutions Architect, or similar).
 * Experience with Terraform or CloudFormation.
 * Experience with orchestration tools such as Airflow (MWAA) or Step Functions.
 * Familiarity with Databricks, Snowflake, or Informatica.
 * Experience with streaming tools (Kinesis, Kafka).
 * Prior federal government experience, ideally with financial regulatory data (e.g., SEC, FINRA, Treasury, Federal Reserve).
 * Experience working in FedRAMP or other compliance-driven environments., * Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
 * 5+ years of experience in data engineering or ETL development.
 * 3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR).8+ years of professional experience
 * This is an onsite role in the DC Metro Area
 * Active TS/SCI Clearance
 * Please note that this specific position requires U.S. citizenship status

What is Important to Us:

 * 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

* Design, develop, and maintain ETL/ELT pipelines that ingest, transform, and load structured and semi-structured data from multiple sources.
 * Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions.
 * Develop data processing jobs in Python, PySpark, and SQL, with a focus on performance, reliability, and maintainability.
 * Model data for data lakes and data warehouses, including schema design, partitioning, and cataloging.
 * Implement data quality checks, monitoring, logging, and alerting for production pipelines.
 * Apply security and compliance best practices (IAM, encryption, least privilege) appropriate for a federal environment.
Support CI/CD and infrastructure-as-code practices for data workloads.

 * Collaborate with stakeholders to gather requirements, troubleshoot issues, and document solutions.