Our client is seeking a Senior DataStage Engineer to design, develop, and maintain enterprise ETL solutions while modernizing legacy mainframe batch processes.
Responsibilities & Qualifications
Design, develop, and maintain enterprise ETL solutions using IBM DataStage
Modernize legacy mainframe batch processes by translating existing COBOL/JCL logic into DataStage jobs
Develop and optimize PySpark-based data processing solutions for scalable data handling
Collaborate with business analysts, architects, and engineering teams to deliver integrated data solutions
Troubleshoot production issues and optimize ETL performance to ensure reliability and efficiency
Lead data migration initiatives leveraging Snowflake and AWS cloud platforms
Ensure high standards for data quality, reliability, and comprehensive operational support
Requirements
6–10 years of professional experience in ETL development and data integration
Expert proficiency with IBM DataStage and PySpark
Strong knowledge of mainframe technologies including COBOL, JCL, and VSAM
Hands-on experience with Snowflake and AWS
Proven track record in data migration projects and modernization initiatives
Solid understanding of ETL design patterns, performance optimization, and data quality frameworks
Excellent collaboration and communication skills with cross-functional teams
Numbers & Facts
Location
McLean, Virginia
Skills
Amazon Web Services (AWS)unmatched
Business Analysisunmatched
Business Architectureunmatched
Cloud Computingunmatched
Cobol Programming Languageunmatched
Communication Skillsunmatched
Cross-Functionalunmatched
Data Migrationunmatched
Data Processingunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched