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# Data Engineer (AWS, Spark)

- **Company:** Vantor Vault LLC
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $103,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Amazon S3, Apache HTTP Server, Information Engineering, Extract Transform Load (ETL), IBM InfoSphere DataStage, Amazon DynamoDB, Python (Programming Language), Key Management, PostgreSQL, Microsoft PowerPoint, SQL Databases, Parquet, Apache Spark, Cloudformation, Pyspark, Information Technology, Amazon Simple Queue Service (SQS), Terraform, Amazon Elastic Mapreduce (EMR)
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us06dc18ada4d78e13dcc8fbb62a74aafa

## About the Role

* 4+ years of data engineering experience
 * Bachelor's degree
 * Spark ETL on AWS (Glue, Amazon EMR) in Python and PySpark
 * S3 data-lake design (Parquet, partitioning, lifecycle) feeding Apache Iceberg tables, Amazon Aurora PostgreSQL, and DynamoDB
 * Event orchestration (Lambda, Step Functions, SQS/SNS) with secrets management and monitoring
 * Data quality, validation, and lineage
 * Infrastructure-as-code (CloudFormation or Terraform)
 * Basic proficiency in writing, PowerPoint, and Excel

Preferred

 * Master's degree in a relevant field
 * Trino or comparable federated SQL across the lake and relational stores
 * Apache Ranger-governed access
 * Legacy ETL migration (for example DataStage)
 * Federal information technology or high-volume data experience
 * Familiarity with AI-assisted developer tooling



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