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Gas Capacity Planning Engineer Jobs (NOW HIRING)

Mainframe Capacity Planning Engineer - US

Boston, MA ยท On-site

$53.25 - $68.50/hr

Mainframe Capacity Planning Engineer Experience: 5 to 10 Years Employment: W2 (GC and USC only) Locations: Jersey City NJ, Tampa FL, Dallas TX & Boston MA Position Summary The Senior Capacity ...

Organize and store Capacity Planning artifacts for future retrieval * Develop ad hoc reports for senior business and management forums * Mitigate risk by following established procedures and ...

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How much do gas capacity planning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for gas capacity planning engineer in the United States is $115,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $116,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Gas Capacity Planning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $115,341 per year, or $55.5 per hour.

Mainframe Capacity Planning Engineer - US

Jersey City, NJ โ€ข On-site

StradIT
IT Servicesย โ€ขย 11 - 50 employees

$51.25 - $65.75/hr

Other

Posted 17 days ago


Job description

Role: Mainframe Capacity Planning Engineer

Experience: 5 to 10 Years

Employment: W2 (GC and USC only)

Locations: Jersey City NJ, Tampa FL, Dallas TX & Boston MA

Position Summary


The Senior Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments.

Specific Responsibilities

Mainframe capacity planning

  • Run and validate the Data Collection and Reporting process using scheduling software.
  • Design basic reports using SAS
  • Build and Edit JCL in ISPF
  • Creating / Updating policies, job aids and other documentation

MICS/MXG support and maintenance

  • Learn MICS/MXG Database Architecture
  • Diagnose MICS related errors.
  • Able to execute and validate MICS administrative tasks to maintain proper maintenance.

Data analysis - Descriptive Statistics

  • Basic methods to Summarize Data
  • Display data in an organized manner.
  • Able to identify, describe patterns and relationships.

Business volumes and other reporting

  • Collection and reporting of business volume data from varied sources.
  • Risk assessments of extreme market conditions for selected business streams
  • Produce/update a Business Process Requirements document for selected business streams.

Management / Regulatory / Audit

  • Organize and store Capacity Planning artifacts in their proper location for future retrieval.
  • Ad hoc report development for senior business and management forums

Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.

Qualifications

  • Minimum of 5 years of related experience
  • Bachelor's degree in a mathematics / statistics discipline preferred or equivalent work experience

Specific Skills & Technologies

  • SAS experience required.
  • Understanding of mainframe technology and components
  • MICS/MXG experience essential.
  • Familiarity with mainframe capacity / performance data (SMF, RMF, CICS, DB2, MQ)
  • MS Office skills, in particular intermediate PowerPoint, and Excel skills
  • Excellent analytical skills including data exploration, analysis, and production of models.
  • Solid background with Descriptive Statistics
  • Inferential Statistics are a plus.
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