About this opportunity
Eliassen Group lists this Sr. Data Engineer opportunity in mclean, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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Worksite address
mclean, VA, 22107, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.