Sr DataStage Engineer

Omm IT Solutions; North Dakota; On-site; USD 110,000 - 150,000; Full time

Job summary

Omm IT Solutions in McLean, VA is seeking a Sr DataStage Developer to modernize enterprise data platforms by designing, developing, and optimizing IBM DataStage ETL solutions, including Snowflake and AWS, with AI-assisted tooling to accelerate modernization.

This 100% onsite role requires strong SQL, UNIX/Linux, and shell scripting skills, collaboration with cloud engineers and governance teams, and delivering scalable, auditable data migration solutions with thorough documentation.

Qualifications

• 6+ years hands-on IBM DataStage development experience.
• Proven end-to-end ETL design and implementation capabilities.
• Strong SQL proficiency with complex joins and performance tuning.
• Experience with UNIX/Linux and shell scripting.
• Familiarity with Snowflake, AWS, and data governance tools like Collibra.

Responsibilities

• Design, develop, and maintain enterprise DataStage ETL workflows.
• Modernize legacy ETL to Snowflake/AWS and metadata platforms.
• Optimize ETL performance via SQL and parallel processing.
• Collaborate with architects, cloud engineers, and governance teams.
• Create technical documentation and participate in code reviews and deployments.

Skills

IBM DataStage

SQL

UNIX/Linux

Shell scripting

XML

ETL

Snowflake

AWS

Collibra

AI-assisted tools

Education

6+ years DataStage experience

Tools

Snowflake

AWS

Collibra

Unix/Linux shell

Job description

Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States

Posted On 08/03/2026

Job Information

Start Date 07/04/2026 12:00 AM

Compensation Negotiable

IT Services

Work Authorization USC/GC/H1B/H4-EAD

Job Opening ID Omm2966J

State/Province Virginia

City Mc Lean

22102

Job Description

PLEASE NOTE:

• It is a 100% onsite position in McLean, VA.
  

JOB DESCRIPTION:

As a Sr DataStage Developer, you will play a key role in modernizing enterprise data platforms by designing, developing, and optimizing IBM DataStage ETL solutions. You'll work alongside cloud engineers, architects, and governance teams to transform legacy ETL processes into modern cloud-based data platforms including Snowflake and AWS, while leveraging AI-assisted tools to accelerate large-scale modernization initiatives.

KEY RESPONSIBILITIES:

• Design, develop, and maintain enterprise-scale IBM DataStage ETL workflows that deliver reliable, high-quality data.
  
• Analyse DataStage job metadata and XML transition logic to modernize legacy ETL into Snowflake, AWS, or metadata platforms such as Collibra.
  
• Optimize ETL performance through advanced SQL, parallel processing, and automation using UNIX/Linux shell scripting.
  
• Partner with architects, cloud engineers, and governance teams to deliver scalable, secure, and auditable data migration solutions.
  
• Produce technical documentation, participate in code reviews, testing, and deployment activities while promoting ETL best practices.
  

Requirements

REQUIRED QUALIFICATIONS:

• 6+ years of hands‑on experience with IBM DataStage development.
  
• Proven experience building end‑to‑end ETL workflows, including extraction, transformation, and load processes.
  
• Strong expertise in SQL, including complex joins, subqueries, window functions, and performance tuning.
  
• Solid knowledge of UNIX/Linux fundamentals, including file systems, permissions, and process management.
  
• Hands‑on experience with shell scripting (bash/ksh) for job automation and operational support.
  
• Experience working with DataStage job metadata and XML transition logic.
  
• Ability to analyse and translate legacy ETL logic into modern data platforms such as Snowflake, AWS‑native services, or data governance tools like Collibra.
  
• Familiarity with AI‑assisted development or automation tools used to understand, parse, or accelerate ETL modernization efforts.
  
• Strong understanding of data warehousing concepts, ETL best practices, and data quality frameworks.
  
• Excellent analytical, problem‑solving, and communication skills.

PREFERRED QUALIFICATIONS:

• Experience with Collibra or other enterprise metadata and data governance platforms.
  
• Familiarity with AI‑assisted development tools that support code analysis, metadata interpretation, or ETL modernization.
  
• Experience supporting enterprise cloud migration or large‑scale modernization programs.
  
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
  
• Experience working within financial services or other highly regulated industries.
  

Education/Work Experience

6+ years of hands‑on experience with IBM DataStage development.