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Mainframe Developer With Cobol Jobs in Seattle, WA

Data/Cloud Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data/Cloud Engineer is responsible for designing, building, testing, and deploying data ... Preferred : • Experience with mainframe data extraction and integration. • Familiarity with ...

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 ... Preferred : • Experience with mainframe data extraction and integration. • Familiarity with ...

IBMi AS/400 (RPG/COBOL familiarity a plus). * Cloud platforms: GCP, Azure (compute, storage ... Collaborate with architects, engineers, and stakeholders to define solution designs, migration ...

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Mainframe Developer With Cobol information

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How much do mainframe developer with cobol jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for mainframe developer with cobol in Seattle, WA is $60.75, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $68.94 per hour, depending on experience, location, and employer.

What is a mainframe developer with COBOL?

Mainframe Developers with COBOL are IT professionals who specialize in developing, maintaining, and supporting applications that run on mainframe computers using the COBOL programming language. They work with legacy systems, often in industries like banking, insurance, or government, where mainframes are still prevalent due to their reliability and processing power. Their responsibilities include coding, debugging, testing, and optimizing COBOL programs, as well as integrating mainframe applications with newer technologies. Mainframe Developers also ensure the performance and security of mission-critical systems that handle large volumes of data.

What are the key skills and qualifications needed to thrive as a mainframe developer with COBOL?

To thrive as a Mainframe Developer with COBOL, you need expertise in COBOL programming, mainframe systems (such as IBM z/OS), JCL, and database management, typically supported by a degree in computer science or a related field. Familiarity with tools like TSO/ISPF, DB2, CICS, and source control systems is commonly required, and certifications in mainframe technologies can be advantageous. Strong problem-solving, attention to detail, and effective communication skills help you manage complex legacy systems and collaborate with cross-functional teams. These skills and qualifications are vital for maintaining, enhancing, and supporting critical business applications that rely on mainframe environments.

What are some common challenges faced by mainframe developers working with COBOL, and how can they be overcome?

Mainframe Developers working with COBOL often encounter challenges such as maintaining legacy code, integrating mainframe systems with modern technologies, and adapting to evolving business requirements. Legacy systems may lack proper documentation, making it crucial to develop strong debugging and reverse-engineering skills. Collaborating closely with business analysts and other IT teams helps ensure a clear understanding of requirements and smoother integration projects. Staying up-to-date with mainframe modernization tools and participating in knowledge-sharing sessions within your team can also help overcome these challenges and support career growth.

What are popular job titles related to Mainframe Developer With Cobol jobs in Seattle, WA?

For Mainframe Developer With Cobol jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mainframe Developer With Cobol jobs in Seattle, WA look for?

The top searched job categories for Mainframe Developer With Cobol jobs in Seattle, WA are:

Data/Cloud Engineer

TEKFORTUNE INC

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 27 days ago


Job description

Job Summary:
TEKFORTUNE INC is a fast-growing consulting firm specialized in staffing services for leading organizations. The Data/Cloud Engineer is responsible for designing, building, testing, and deploying data ingestion connectors and ETL/ELT pipelines, working in pods to deliver data sources to production.
Responsibilities:
• Design and build connectors for prioritized data sources including SFTP, REST APIs, RDBMS (CDC), Kafka, S3 file drops, and mainframe extracts.
• Define source-specific ingestion patterns (batch windows, CDC, streaming) and map data to canonical landing zones in the lakehouse architecture.
• Implement reusable ETL/ELT pipelines on the IT-provided framework (e.g., AWS Glue, Spark, dbt) across raw → curated → consumption layers.
• Develop transformation logic, handle schema evolution, implement partitioning strategies, and capture metadata for lineage tracking.
• Embed data quality checks (completeness, schema conformance, record counts, freshness) with fail/alert behavior within pipelines.
• Write unit, integration, and end-to-end tests; validate pipelines in CI/CD and staging environments prior to production promotion.
• Produce connector runbooks, data contracts, transformation specs, and onboarding guides.
• Collaborate with source system owners to obtain access, sample data, and schema/contract details.
• Participate in 2-week Agile sprints under Boeing's sprint planning and task assignment process.
Qualifications:
Required:
• 5–8 years of hands-on experience in data engineering, cloud data platforms, and ETL/ELT pipeline development.
• Strong proficiency in Python, SQL, and Spark (PySpark or Scala).
• Hands-on experience with AWS data services: Glue, S3, Kinesis, Lambda, Redshift, Athena, or equivalent.
• Experience building ingestion pipelines for diverse source types: SFTP, REST APIs, RDBMS (JDBC/CDC), Kafka/streaming, and flat file processing.
• Working knowledge of lakehouse architectures (Delta Lake, Iceberg, or Hudi).
• Experience with dbt or similar transformation frameworks.
• Familiarity with CI/CD pipelines for data workloads (e.g., GitHub Actions, CodePipeline, Jenkins).
• Understanding of data quality frameworks and schema evolution handling.
• Strong documentation skills for runbooks, data contracts, and technical specifications.
• Experience working in Agile/Scrum delivery models.
Preferred:
• Experience with mainframe data extraction and integration.
• Familiarity with Apache Kafka (producers, consumers, connect, schema registry).
• Exposure to data cataloging and lineage tools (e.g., AWS Glue Catalog, Apache Atlas, DataHub).
Company:
Tekfortune Inc. Founded in 2014, the company is headquartered in Piscataway, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2014