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Mainframe Data Analyst Jobs (NOW HIRING)

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

New

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Data Developer (Mainframe)

Malvern, PA · On-site

$48 - $61.75/hr

Data Developer (Mainframe) Location: Malvern, PA (Hybrid and Local candidates required) Visa: GC ... Creating high-performance, mission-critical applications Analyzing user requirements and developing ...

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

New

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

New

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

New

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files * Exposure to ... Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.

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Mainframe Data Analyst information

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$47

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How much do mainframe data analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for mainframe data analyst in the United States is $47.69, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $58.17 per hour, depending on experience, location, and employer.

What is a mainframe data analyst?

A Mainframe Data Analyst is a professional who specializes in analyzing and managing data stored on mainframe computer systems, which are widely used by large organizations for critical applications. They are responsible for extracting, processing, and interpreting large volumes of data, ensuring data integrity, and generating reports to support business decisions. Mainframe Data Analysts often work with legacy programming languages such as COBOL and data management tools specific to mainframes, such as IBM DB2. Their role is crucial in industries like banking, insurance, and government, where mainframe systems remain essential.

What are the key skills and qualifications needed to thrive as a mainframe data analyst?

To thrive as a Mainframe Data Analyst, you need strong analytical skills, expertise in mainframe environments (such as IBM z/OS), and a solid understanding of data management principles, usually supported by a degree in computer science or a related field. Familiarity with tools like COBOL, JCL, DB2, and data analysis software, as well as experience with legacy system migrations or integrations, is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills in this role. These competencies ensure accurate data analysis, efficient system operations, and successful collaboration with cross-functional teams in maintaining and upgrading mainframe systems.

What are some typical challenges faced by a mainframe data analyst, and how can they be managed effectively?

Mainframe Data Analysts often work with legacy systems that may lack comprehensive documentation or use outdated programming languages, making data extraction and interpretation challenging. Staying current with both mainframe technologies and modern analytics tools is essential for effective problem-solving. Collaborating closely with system administrators and business analysts helps ensure data accuracy and relevance. Embracing continuous learning and leveraging mentorship within the team can also help overcome technical hurdles and keep up with evolving business requirements.
More about Mainframe Data Analyst jobs

What states have the most Mainframe Data Analyst jobs?

States with the most job openings for Mainframe Data Analyst jobs include:

Infographic showing various Mainframe Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,199 per year, or $47.7 per hour.

Ab Initio Data Engineer

PB consulting

Linden, NJ • Hybrid

Full-time

Posted 13 days ago


Job description

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related technical field.
  • 7+ years of ETL development experience with 5+ years of hands-on experience in Ab Initio development.
  • Strong expertise with:
    • Ab Initio GDE (Graphical Development Environment)
    • Co>Operating System (Co>Op)
    • Enterprise Meta>Environment (EME)
    • Conduct>It
    • Data Profiler and Continuous Flows
  • Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS).
  • Advanced SQL skills with experience in relational databases, especially DB2.
  • Strong experience with Unix/Linux shell scripting.
  • Solid understanding of data warehousing concepts:
    • Dimensional modeling
    • Slowly Changing Dimensions (SCD)
    • Star and Snowflake schemas
  • Experience designing and implementing Kafka-based data pipelines.
  • Strong debugging, troubleshooting, and performance tuning skills for large-volume data processing.
Preferred Qualifications
  • Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files
  • Exposure to Kubernetes or OpenShift environments.
  • Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures.
  • Experience with API-based integrations and streaming data solutions.
  • Prior experience as a technical lead or in client-facing architecture roles.
Roles and Responsibilities
  • Design, develop, and maintain complex ETL workflows and graphs using Ab Initio GDE.
  • Architect end-to-end data integration solutions across multiple source and target systems including: RDBMS, Mainframe systems, Flat files, Message queues, Streaming platforms
  • Optimize Ab Initio graph performance through: Parallelism, Partitioning techniques (Hash, Broadcast, Range), Layout optimization, Checkpointing strategies
  • Develop and manage solutions using Ab Initio components including Co>Op, EME, Conduct>It, Data Profiler, and Continuous Flows.
  • Implement CDC (Change Data Capture) and near-real-time data processing pipelines.
  • Manage metadata, lineage, and data governance activities within EME.
  • Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.
  • Define development standards, review ETL code, and enforce Ab Initio best practices.
  • Mentor junior and mid-level Ab Initio developers.
  • Collaborate with data architects, DBAs, and business teams to translate requirements into technical solutions.