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# Data Engineer- Local

- **Company:** VANTAGE AI CORPORATION
- **Location:** Vienna, VA, United States
- **Experience:** Experienced
- **Salary:** $95,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Data Governance, Extract Transform Load (ETL), Data Mart, Data Security, Data Warehousing, DevOps, Apache Hadoop, Python (Programming Language), Meta-Data Management, SQL Databases, Data Streaming, Unstructured Data, Data Logging, Data Processing, Apache Spark, Git, Cloudformation, Data Lakes, Pyspark, Data Analytics, Non-relational Database, Functional Programming, Cloudwatch, Terraform, Software Version Control, Data Pipelines
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f9f567112b742a9e

## About the Role

Do you have experience in Version control?, Do you have a Bachelor's degree?, * 5+ years of hands-on experience as a Data Engineer or similar role

 * Strong proficiency in Python for data processing and automation
 * Extensive experience with AWS, including services such as:
 * S3, EC2, Lambda
 * Glue, Athena, Redshift
 * EMR, CloudWatch (preferred)
 * Solid understanding of SQL and relational/non-relational databases
 * Experience building batch and/or streaming data pipelines
 * Familiarity with CI/CD pipelines, version control (Git), and DevOps practices
 * Experience working in federal or regulated environments, * US Census Clearance (active or previously held)
 * Experience with big data technologies (Spark, PySpark, Hadoop)
 * Knowledge of data security, encryption, and access controls in AWS
 * Exposure to data orchestration tools (Airflow, Step Functions, etc.)
 * Experience supporting analytics, BI, or AI/ML workloads

Nice to Have

 * AWS Certification (Data Analytics, Solutions Architect, or Developer)
 * Experience with Terraform or CloudFormation
 * Familiarity with federal data standards and compliance frameworks, * Bachelor's (Required), * Python: 3 years (Required)
 * R: 3 years (Required)
 * SQL: 3 years (Required)
 * ETL: 3 years (Required)
 * AWS: 3 years (Required)
 * Redshift: 3 years (Required)

Work Location: Hybrid remote in Vienna, VA 22182

## Description

* Design, develop, and maintain robust ETL/ELT data pipelines using Python and AWS services
 * Build and optimize data lakes, data warehouses, and data marts on AWS
 * Ingest, transform, and process structured and unstructured data from multiple sources
 * Ensure data quality, integrity, security, and compliance with federal standards
 * Collaborate with data scientists, analysts, and application teams to support analytics and reporting
 * Optimize performance, cost, and scalability of data workflows in AWS
 * Implement data governance, metadata management, and logging/monitoring practices
 * Support documentation, data models, and technical design artifacts
 * Troubleshoot production issues and support ongoing enhancements


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