Sr. Data Engineer

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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. 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

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