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Sr. Data Engineer

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Onsite

Sr. Data Engineer

Eliassen Group

Sr. Data Engineer

Skills

Data EngineeringPythonJavaSpring BootAWS LambdaAIScalaAWSPySpark

19 days ago

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Important information


Contract type:

Freelance / Contract

Location:

McLean, VA, USA

Work mode:

Onsite

Published on:

30 September 2026

What they need


Description May sit hybrid onsite in Wilmington, DE, McLean, VA, Richmond, VA or NYC

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. Rate: $70.00 to $80.00/hr. w2

Responsibilities

  • 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.

Experience Requirements

  • 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.

Education Requirements

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