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Reliability Manager Jobs in Bloomington, IL (NOW HIRING)

Senior Data Engineer

Normal, IL ยท On-site

$103K - $140K/yr

Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability ... Experience with managed ingestion tools such as Fivetran, Airbyte, or similar. * Experience ...

Maintenance Technician 2nd Shift

Normal, IL ยท On-site

$79K - $83K/yr

Perform scheduled preventive maintenance on equipment and facility systems to maximize reliability ... management system (CMMS). * Coordinate with operations and other departments to schedule ...

Strong classroom management, communication, and organizational skills. * Flexibility, reliability, and ability to adapt to various grade levels and subjects (if applicable). Work Schedule ...

Strong classroom management, communication, and organizational skills. * Flexibility, reliability, and ability to adapt to various grade levels and subjects (if applicable). Work Schedule ...

Strong classroom management, communication, and organizational skills. * Flexibility, reliability, and ability to adapt to various grade levels and subjects (if applicable). Work Schedule ...

Quality Technician

Morton, IL ยท On-site

$22 - $32/hr

Interprets engineering drawings, schematic diagrams, or formulas and confers with management or engineering staff to determine quality and reliability standards. * Selects products for evaluation at ...

Quality Technician

Morton, IL ยท On-site

$22 - $32/hr

Interprets engineering drawings, schematic diagrams, or formulas and confers with management or engineering staff to determine quality and reliability standards. * Selects products for evaluation at ...

Strong classroom management, communication, and organizational skills. * Flexibility, reliability, and ability to adapt to various grade levels and subjects (if applicable). Work Schedule ...

Showing results 41-60

Reliability Manager information

See Bloomington, IL salary details

$59.5K

$112.7K

$161.6K

How much do reliability manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for reliability manager in Bloomington, IL is $112,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $134,300.00 per year, depending on experience, location, and employer.

What is the role of a reliability manager?

A reliability manager oversees the maintenance and reliability of equipment and systems within an organization to ensure optimal performance and minimize downtime. They analyze failure data, develop maintenance strategies, and implement continuous improvement processes, often using tools like root cause analysis and reliability-centered maintenance. Strong analytical skills, technical knowledge, and certifications such as Certified Reliability Engineer (CRE) are typically required for this role.

Is reliability engineering in demand?

Reliability engineering is in high demand across industries such as manufacturing, energy, and aerospace, as companies prioritize system uptime and maintenance efficiency. Reliability Managers with skills in data analysis, failure modes, and certifications like RCM are sought after to improve equipment performance and reduce downtime.

What are the key skills and qualifications needed to thrive as a reliability manager?

A Reliability Manager needs strong analytical skills, a solid background in engineering or maintenance, and experience with reliability-centered maintenance methodologies. Familiarity with tools like Failure Mode and Effects Analysis (FMEA), Root Cause Analysis (RCA), and certifications such as Certified Reliability Engineer (CRE) are often required. Leadership, problem-solving, and the ability to communicate complex technical information clearly are crucial soft skills for this role. These skills help ensure equipment uptime, optimize maintenance processes, and foster a culture of continuous improvement within the organization.

What does a reliability manager do?

A Reliability Manager is responsible for ensuring that equipment, processes, and systems operate efficiently and consistently to minimize downtime and maximize performance. They develop and implement reliability strategies, conduct root cause analyses, and oversee preventive and predictive maintenance programs. Their role involves working closely with maintenance teams, engineers, and production staff to improve asset reliability and extend equipment lifespan. Additionally, they analyze failure data, recommend improvements, and help optimize operational costs through reliability-centered maintenance practices.

What job categories do people searching Reliability Manager jobs in Bloomington, IL look for? The top searched job categories for Reliability Manager jobs in Bloomington, IL are:
What cities near Bloomington, IL are hiring for Reliability Manager jobs? Cities near Bloomington, IL with the most Reliability Manager job openings:
Infographic showing various Reliability Manager job openings in Bloomington, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $112,698 per year, or $54.2 per hour.

Senior Data Engineer

1 point system

Normal, IL โ€ข On-site

$103K - $140K/yr

Contractor

Posted 27 days ago


Job description

Job Description

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.

This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.

Roles and Responsibilities

  • Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
  • Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
  • Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
  • Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
  • Collaborate with analytics engineers and product teams to turn models into highvalue data products powering analytics applications.
  • Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
  • Drive improvements in upstream systems and schemas to reduce data issues at the source.

Required Qualifications

  • 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
  • Strong expertise in SQL and Python for building scalable data pipelines and transformations.
  • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
  • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
  • Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
  • Experience designing and operating production-grade data pipelines with monitoring and observability.
  • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
  • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

Preferred Qualifications

  • Experience working with manufacturing, MES, quality, or operational data.
  • Familiarity with Fivetran connector management and ingestion architecture.
  • Experience with data contracts and schema governance.
  • Experience building semantic layers or governed analytical datasets.
  • Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
  • Experience enabling AI or advanced analytics use cases on top of operational data.
  • Knowledge of streaming or near-real-time data pipelines.