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Mainframe Data Engineer Jobs (NOW HIRING)

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Mainframe Systems Programmer

Hartford, CT · On-site

$55.50 - $70.50/hr

Design, develop, and execute data extraction processes from IMS databases and legacy mainframe data ... Expert-level COBOL programming experience. * Strong JCL development and troubleshooting skills.

Archer Daniels Midland

$111K - $121K/yr

Senior Data Engineer, Archer Daniels Midland Company, Decatur, IL. Lead a delivery team to develop ... Database storage systems such as cloud, relational, mainframe, data lake, and data warehouse;

A.C.Coy Company

Mainframe Operator

Washington, DC · On-site

$55.50 - $71.25/hr

... data center. Duties include setting up printers based on instructions from mainframe computer consoles, loading paper, toner, and developer, and promptly removing and organizing completed print jobs ...

A.C. Coy

Mainframe Operator

Washington, DC · On-site

$55.50 - $71.50/hr

... data center. Duties include setting up printers based on instructions from mainframe computer consoles, loading paper, toner, and developer, and promptly removing and organizing completed print jobs ...

A.C. Coy

Mainframe Operator

Washington, DC

$55.50 - $71.50/hr

... data center. Duties include setting up printers based on instructions from mainframe computer consoles, loading paper, toner, and developer, and promptly removing and organizing completed print jobs ...

Damco Solutions

Mainframe Architect

Jersey City, NJ · On-site

... engineering teams. Responsibilities : • Experience in application development in legacy ... and data transformation efforts as part of rehosting • Collaborate with architects and cloud ...

TEKFORTUNE INC

Data/Cloud Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data/Cloud Engineer is responsible for designing, building, testing, and deploying data ... and mainframe extracts. • Define source-specific ingestion patterns (batch windows, CDC ...

Valid8 Financial, Inc.

Lead Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Source extraction (mainframe, CDC, COBOL copybooks) * Data Lakehouse storage using Apache Iceberg ... Strong SQL and programming skills (Python, Spark; dbt preferred) * Experience with CDC technologies ...

TEKFORTUNE INC

Sr. Data/Cloud Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Sr. Data/Cloud Engineer will design, build, test, and deploy data ingestion connectors and ETL ... and mainframe extracts. • Define source-specific ingestion patterns (batch windows, CDC ...

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Mainframe Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do mainframe data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for mainframe data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a mainframe data engineer?

Mainframe data engineers are IT professionals who specialize in managing, maintaining, and optimizing data systems on mainframe computers. They develop and support data pipelines, databases, and storage solutions, ensuring the efficient processing and integrity of large-scale enterprise data. Their work often involves programming in languages like COBOL, SQL, and working with technologies such as IBM z/OS and DB2. Mainframe data engineers play a critical role in industries like banking, insurance, and government, where mainframes are still widely used for high-volume transaction processing.

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

To thrive as a Mainframe Data Engineer, you need a solid background in computer science, expertise in mainframe technologies (such as COBOL, JCL, and DB2), and experience with data management concepts. Familiarity with mainframe tools like IBM z/OS, data migration utilities, and certifications such as IBM Certified System Programmer are typically required. Strong analytical thinking, problem-solving skills, and effective communication are vital soft skills for this role. These abilities ensure reliable data operations, efficient troubleshooting, and successful collaboration within large-scale enterprise environments.

What are some common challenges mainframe data engineers face when integrating legacy systems with modern data platforms?

Mainframe Data Engineers often encounter challenges when integrating legacy mainframe systems with modern data platforms, such as data format incompatibilities, security concerns, and limited documentation of older systems. Addressing these issues typically requires a deep understanding of both mainframe technologies (like COBOL, DB2, or VSAM) and modern data frameworks. Collaboration with cross-functional teams, including application developers and data architects, is essential to ensure seamless data migration and real-time data access, while maintaining data integrity and compliance.

What is the difference between Mainframe Data Engineer vs Data Warehouse Engineer?

AspectMainframe Data EngineerData Warehouse Engineer
CredentialsTypically requires a degree in Computer Science or related field, with knowledge of mainframe technologiesRequires a degree in Computer Science, Data Management, or related field, with expertise in data warehousing tools
Work EnvironmentWorks primarily on mainframe systems, handling legacy data processingWorks on modern data warehouses, integrating data from multiple sources
Industry UsageCommon in banking, finance, and government sectors with legacy systemsUsed across industries for business intelligence and analytics

The Mainframe Data Engineer focuses on maintaining and developing data solutions on legacy mainframe systems, while the Data Warehouse Engineer designs and manages data warehouses for analytics. Both roles require strong data management skills but differ in technology focus and work environment.

What cities are hiring for Mainframe Data Engineer jobs?

Cities with the most Mainframe Data Engineer job openings:

What states have the most Mainframe Data Engineer jobs?

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

What are popular job titles related to Mainframe Data Engineer jobs?

For Mainframe Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Mainframe Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer / Mainframe Developer

Westlake, TX • On-site

ConglomerateIT
IT Services • 11 - 50 employees
Learn more about ConglomerateITexternal

$47 - $60.50/hr

Other

Re-posted yesterday

Job description

Job Title: Data Engineer / Mainframe Developer
Tax Term: W2/1099 Only
Location: WestLake TX - Onsite
Employment Type: Contract

About us

Conglomerate IT is a certified and a pioneer in providing premium end-to-end Global Workforce Solutions and IT Services to diverse clients across various domains. Visit us at ConglomerateIT.com

Our mission is to establish global cross culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of global network to connect business with the right people without bias. We provide Global Workforce Solutions with affability.

Job Summary:

We are seeking a highly experienced technology professional with a strong background in Mainframe systems, PL/SQL, and ETL development. The ideal candidate will have deep hands-on exposure to large-scale data environments and enterprise-grade systems, with a focus on performance, reliability, and collaboration within agile teams.

Educational Qualifications

  • Bachelor's degree in Computer Science, Engineering, or Mathematics with 6+ years of relevant experience

  • Master's degree is preferred

Core Technical Requirements

  • Strong expertise in Oracle PL/SQL with proven ability to develop and optimize complex SQL queries

  • Extensive experience working as a Mainframe Developer, including COBOL-based systems

  • Hands-on exposure to ETL architecture, design, and development

  • Proven experience handling and processing large data volumes

  • Solid understanding of performance optimization techniques, including SQL tuning and system-level tuning

Systems & Platform Experience

  • Experience designing for system resiliency and stability, including familiarity with Site Reliability Engineering (SRE) principles

  • Working knowledge of large, complex enterprise system architectures

  • Exposure to distributed application development concepts; experience with Java, .NET, or Python is considered an advantage

  • Proficiency in shell scripting

  • Strong experience working in Linux-based environments

DevOps & Delivery Practices

  • Knowledge of CI/CD processes, tools, and best practices

  • Familiarity with tools such as GitHub, Jenkins, Stash, Artifactory, or similar

  • Understanding of Agile/Scrum methodologies or prior experience working in Agile teams

Soft Skills & Collaboration

  • Strong analytical and problem-solving capabilities

  • Excellent verbal and written communication skills, with the ability to clearly summarize and explain technical concepts

  • Demonstrated ability to collaborate effectively with cross-functional teams, including globally distributed team members

Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

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