Quick Overview
Job Description
Senior Datastage Engineer
Location: McLean, VA
Onsite Position from Day 1
Long term Contract
Client is seeking an experienced Senior Datastage Engineer with deep expertise in IBM DataStage, PySpark, and Mainframe technologies to join a high-performing client delivery team in McLean, VA. In this hands-on contract role, you will design, develop, and modernize enterprise ETL solutions, helping transform legacy batch processes into scalable, high-performance data pipelines.
Working closely with business and technology stakeholders, you''ll play a key role in modernizing critical data assets while ensuring quality, reliability, and performance across the data ecosystem. This role requires on-site engagement in McLean, VA.
What You''ll Do
- Design, develop, and maintain enterprise ETL solutions using IBM DataStage, integrating data across multiple platforms and applications.
- Modernize legacy mainframe batch processes (including COBOL, JCL, and VSAM) by translating existing logic into efficient DataStage jobs and supporting migration toward modern data platforms.
- Develop and optimize PySpark-based data processing solutions to support large-scale data transformation and modernization initiatives.
- Collaborate with business analysts, architects, and engineering teams to deliver robust, scalable, and well-documented data solutions.
- Troubleshoot production issues, optimize ETL performance, and ensure high standards for data quality, reliability, and operational support.
What We''re Looking For
- Extensive experience developing enterprise ETL solutions using IBM DataStage with strong hands-on expertise in PySpark and Mainframe technologies (COBOL, JCL, VSAM).
- Proven experience designing complex ETL workflows, data integration solutions, and batch processing frameworks within enterprise environments.
- Strong understanding of modern cloud data platforms and data engineering concepts, including Snowflake, AWS, and data migration strategies.
- Experience working throughout the software development lifecycle, including requirements analysis, development, testing, deployment, and production support.
- Excellent communication, documentation, and stakeholder collaboration skills with the ability to work effectively in client-facing consulting environments.
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