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# Data Engineer

- **Company:** Eliassen Group
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $166,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Continuous Integration, Data Validation, Information Engineering, Python (Programming Language), Scala (Programming Language), Data Processing, Apache Spark, Spring-boot, State Machines, Pyspark, AWS Glue, AWS Data Analytics, Data Pipelines, Web Api
- **Published:** September 30, 2026
- **Apply:** https://www.dice.com/job-detail/da5f1137-81d5-4163-94ab-bcbf61c5c535

## About the Role

Our client seeks a Data Engineer professional with strong ability to support a large-scale customer migration and data load initiative. The role will build and optimize AWS-based data pipelines using Java, Scala, and Spark, with PySpark and AWS Glue across multi-stage workflows. The engagement will emphasize event-driven patterns, data quality, and operational resilience.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * Hands-on Java with data engineering background. Python considered, Java preferred.

 * Proficiency with Scala, Spark, and PySpark.
 * Strong AWS experience: S3, Glue, Step Functions, Lambda, and EventBridge.
 * Knowledge of state machine scheduling and multi-stage pipeline orchestration.
 * Experience with data quality controls, schema evolution, and backfill management.
 * CI/CD pipeline implementation and operations.
 * Spring Boot repository familiarity.
 * Plus: external API integration in pipelines and AI automation exposure.
 * Prior experience supporting financial services data migrations preferred. Prior Capital One experience preferred.

## Description

* Design, build, and maintain AWS data pipelines using S3, Glue, Step Functions, and Lambda.
 * Develop back-end data processing services in Java and Scala with Spark and PySpark.
 * Implement event-based architectures leveraging EventBridge and S3 event notifications.
 * Configure and scale AWS Glue jobs, addressing version and table format considerations.
 * Establish data validation, security checks, schema drift handling, and backfill strategies.
 * Integrate external API calls within data pipelines where required.
 * Contribute to CI/CD pipelines and Spring Boot based repositories.
 * Support production runbooks, reruns from event triggers, and downstream job synchronization.