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Mainframe Data Engineer Jobs in Florida (NOW HIRING)

Ubertal Inc

Power BI Developer

Tallahassee, FL · On-site

Work with developers and end users to automate data transformations, minimizing reliance on manual spreadsheets and pivot tables. * Analyze, document, and convert legacy WebFOCUS and Mainframe FOCUS ...

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Mainframe Data Engineer information

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 in Florida are hiring for Mainframe Data Engineer jobs?

Cities in Florida with the most Mainframe Data Engineer job openings:

Information Technology_USA - USA_Developer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees
Learn more about Real Soft, Inc.external

$45.50 - $58.25/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

: MAX CONFIRMED to
Location: ONSITE- Minneapolis MN- ONLY
Duration: 6 months
Role: Mainframe Developer
Descriptions:
"Extensive work with sequential files
• Strong technical knowledge and skills in Cobol, DB2 , JCL, VSAM
• Adept with agile software development lifecycle and DevOps principles
• Complete understanding of a feature, the users impacted, the flows impacted and feature's purpose
• Technically proficient and able to define and fulfill solutions requirements for end user
• Able to communicate processes and results with all parties involved in the product team, including engineers, product owner, scrum master, third party vendors and customers
• Proficient understanding of algorithms, data structures, architectural design patterns and best practices
• Banking domain expertise, particularly with ACH (Automated Clearing House) processing
• Experience with Fiserv integrations, especially Pep+ (PEP Plus)
• Familiarity with ZEOS Connect API development
• Exposure to modernization efforts (e.g., API enablement, mainframe integration strategies)
• Experience working in regulated financial environments
• 6+ years of experience in mainframe application development
• Strong proficiency in:
• COBOL
• CICS
• DB2 (SQL, stored procedures, performance tuning)
• Experience working in large-scale enterprise or banking environments
• Solid understanding of batch and online processing frameworks
• Proven ability to troubleshoot complex production issues
• Strong communication skills with the ability to work across technical and business teams
• Detail-oriented with strong problem-solving skills"
"Mainframe COBOL experience, preferably with ACH domain knowledge
Experience with PEP+ (Fiserv platform for ACH processing)
Prior support of ACH, DB2, and VCM files
Strong JCL and batch processing expertise"
Skills: Mainframe DB2 - Application Development~IT IS_AMS_Mainframe_DB2 Administration
Experience Required: 10 & Above, Project Code :

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