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Ibm Datastage Jobs in Virginia (NOW HIRING)

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 ...

Design, develop, and maintain enterprise\-scale IBM DataStage ETL workflows that deliver reliable, high\-quality data. \n * Analyse DataStage job metadata and XML transition logic to modernize legacy ...

PHP, IBM DataStage ETL, SharePoint, or Business Objects. Duties and Responsibilities: Provide support, analysis, research, and advice into exceptionally complex problems and processes relating to ...

PHP, IBM DataStage ETL, SharePoint, or Business Objects. Duties and Responsibilities: Provide support, analysis, research, and advice into exceptionally complex problems and processes relating to ...

Cloud ETL Developer

Richmond, VA · On-site

$50.50 - $66.25/hr

... IBM Datastage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse. • Operating System Environments (Windows, Unix, etc.). • Scripting experience with ...

Sr Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Migrate legacy, on\-premises ETL workloads (e.g., IBM DataStage, Informatica) to high\-performing PySpark and Snowflake cloud pipelines. \n * Data Transformation : Write production\-grade PySpark ...

Ibm Datastage information

What is an IBM DataStage?

An IBM DataStage job is a data integration workflow that extracts, transforms, and loads (ETL) data from various sources into a target system. It consists of stages representing data processing steps, such as extraction, transformation, and loading, connected by data flow links. Jobs can be designed using the IBM DataStage Designer, scheduled for execution, and monitored through the IBM DataStage Director. These jobs help businesses manage large volumes of data efficiently in data warehouses or other repositories.

Is IBM DataStage easy to learn?

IBM DataStage is a data integration tool used in ETL processes, and learning it requires understanding of data warehousing concepts and basic scripting. While it offers a user-friendly graphical interface, mastering advanced features and workflows can take time, especially for beginners without prior experience in data management or related tools. Certification programs and training resources are available to facilitate learning.

What are the key skills and qualifications needed to thrive as an IBM DataStage professional?

To thrive as an IBM DataStage professional, you need expertise in ETL processes, relational databases, and a strong understanding of data warehousing concepts, often supported by a relevant degree in computer science or information technology. Hands-on experience with IBM DataStage, SQL programming, and knowledge of supporting platforms such as UNIX/Linux are typically required, with IBM DataStage certification considered a plus. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with cross-functional teams and troubleshoot complex data integration issues. Mastery of these skills ensures the delivery of reliable and efficient data solutions that drive business intelligence and decision-making.

What is IBM DataStage used for?

IBM DataStage is an ETL (Extract, Transform, Load) tool used by data integration professionals to design, develop, and manage data workflows for extracting data from various sources, transforming it to meet business needs, and loading it into target systems such as data warehouses. It supports large-scale data processing and integrates with other IBM data management tools, making it essential for data engineers and analysts working on data migration and analytics projects.

What are some common challenges faced by IBM DataStage professionals in a typical work environment?

IBM DataStage professionals often encounter challenges such as managing large volumes of data from diverse sources, optimizing ETL processes for performance, and ensuring data quality and integrity throughout the integration lifecycle. They may also need to troubleshoot unexpected errors or integration failures, which requires a thorough understanding of both the tool and underlying data structures. Collaboration with business analysts, database administrators, and other IT teams is frequent, demanding excellent communication and coordination skills. Adapting quickly to new business requirements and evolving technologies also plays a key role in long-term success and career advancement in this field.

What job categories do people searching Ibm Datastage jobs in Virginia look for? The top searched job categories for Ibm Datastage jobs in Virginia are:
Infographic showing various Ibm Datastage job openings in Virginia as of August 2026, with employment types broken down into 47% Full Time, 46% Part Time, and 7% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Sr DataStage Engineer

TheStaffed

Mclean, VA • On-site

Contractor

Re-posted 8 days ago


Job description

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