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Senior Datastage Engineer_ McLean, VA (IN-PERSON INTERVIEW MUST)

Svam International, Inc.McLean, VA🇺🇸United StatesPosted 20 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
McLean, VA, United States
Posted
21 hours ago
AWSETLSnowflakeCOBOL

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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