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Senior Reliability Engineer Jobs in Warren, OH (NOW HIRING)

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by ... reliability and efficiency of enterprise data delivery. * Analyze and optimize ETL workflows, SQL ...

Pharmacy Data Management, Inc.

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by ... reliability and efficiency of enterprise data delivery. * Analyze and optimize ETL workflows, SQL ...

PSG GROUP LLC

SENIOR ELECTRICIAN

Warren, OH · On-site

$35 - $42/hr

... reliability, and quality while leading teams and interfacing with engineers, clients, and other ... SENIOR / MASTER ELECTRICIAN - Education: High school diploma or equivalent, plus extensive ...

System One

Sr. Metallurgist Process Engineer

Austintown, OH · On-site

$78K - $95K/yr

Job Title: Sr. Metallurgist Process Engineer Location: Austintown, Ohio Type: Contract Compensation ... Establish and refine procedures to meet customer quality standards, reliability, and delivery ...

Parker Hannifin

Digital & IT Senior Analyst

Ravenna, OH · On-site

$41 - $54.75/hr

... reliability: Troubleshoot production systems, perform structured root-cause analysis, implement ... Experience with cloud platforms, preferably Microsoft Azure DevOps. • Bachelor's degree in ...

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Senior Reliability Engineer information

See Warren, OH salary details

$18

$55

$79

How much do senior reliability engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for senior reliability engineer in Warren, OH is $55.39, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $66.35 per hour, depending on experience, location, and employer.

What does a senior reliability engineer do?

A Senior Reliability Engineer is responsible for ensuring that systems, products, or processes operate reliably and efficiently over time. They analyze failure data, design reliability tests, develop maintenance strategies, and work with cross-functional teams to improve system performance and reduce downtime. Their expertise helps organizations minimize risk, optimize lifecycle costs, and maintain high standards of quality and safety. Senior Reliability Engineers often mentor junior team members and play a key role in developing reliability standards and best practices.

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

To thrive as a Senior Reliability Engineer, you need expertise in reliability engineering principles, root cause analysis, and a relevant engineering degree such as mechanical, electrical, or industrial engineering. Familiarity with tools like FMEA, RCA software, CMMS, and certifications such as Certified Reliability Engineer (CRE) are often required. Strong analytical thinking, communication skills, and the ability to lead cross-functional teams set top performers apart. These skills are essential for minimizing downtime, improving system reliability, and ensuring safe, efficient operations.

What are some common challenges faced by senior reliability engineers, and how are they typically addressed within the team?

Senior Reliability Engineers often encounter challenges such as diagnosing complex system failures, balancing proactive maintenance with urgent reactive fixes, and ensuring consistent communication across multidisciplinary teams. These challenges are typically addressed through root cause analysis, prioritization frameworks, and fostering a culture of knowledge sharing. Regular collaboration with operations, maintenance, and engineering teams helps in developing effective solutions and continuous improvement strategies.

What is the difference between Senior Reliability Engineer vs Reliability Engineer?

AspectSenior Reliability EngineerReliability Engineer
CredentialsTypically requires 5+ years experience, certifications like CRE or Six SigmaEntry to mid-level, often with 2-4 years experience, similar certifications
Work EnvironmentDesigns and oversees reliability programs, leads projectsPerforms analysis, supports reliability improvements
Industry UsageUsed across manufacturing, energy, aerospaceCommon in same industries, often as a stepping stone to senior roles

The main difference between a Senior Reliability Engineer and a Reliability Engineer lies in experience, leadership responsibilities, and scope of work. Senior Reliability Engineers typically lead projects and develop strategies, while Reliability Engineers focus on analysis and supporting reliability initiatives. Both roles are vital in ensuring equipment and system dependability across industries.

How much do senior reliability engineers get paid?

Senior reliability engineers typically earn between $90,000 and $130,000 annually, depending on experience, industry, and location. They often have expertise in systems analysis, failure modes, and reliability tools like FMEA and RCM, which can influence compensation levels.

What job categories do people searching Senior Reliability Engineer jobs in Warren, OH look for?

The top searched job categories for Senior Reliability Engineer jobs in Warren, OH are:

What cities near Warren, OH are hiring for Senior Reliability Engineer jobs?

Cities near Warren, OH with the most Senior Reliability Engineer job openings:

Senior Reliability Engineer jobs near you
Infographic showing various Senior Reliability Engineer job openings in Warren, OH as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $115,201 per year, or $55.4 per hour.

Senior Data Engineer

Pharmacy Data Management

Poland, OH • On-site, Remote

$91K - $124K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

PDMI is looking to add a Senior Data Engineer to our team! This position is responsible for designing, developing, optimizing, and supporting enterprise data integration, reporting, and analytics solutions. The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on Amazon Redshift, AWS data services, and Tableau. This position develops scalable ETL pipelines, data warehouse solutions, governed data products, and secure data delivery capabilities that enable reliable enterprise reporting, analytics, and self-service access to trusted business information.
Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their business objectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated health plans and hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.
Why Join Us:
  • Best Employer: PDMI was voted Best Employer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work: Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment: Work with passionate professionals who share your drive.
  • Exciting Challenges: Every day brings new opportunities to excel.
  • Flexible Work: Fully remote opportunity with a company that cares.

Key Responsibilities:
  • Design, develop, optimize, and support scalable ETL pipelines and data integration solutions that enable enterprise reporting, analytics, and data delivery.
  • Develop and optimize complex SQL queries, stored procedures, data transformations, and data models across Amazon Redshift and Microsoft SQL Server environments.
  • Support the modernization of legacy SQL Server and SSRS reporting solutions by migrating data pipelines, reporting processes, and analytics capabilities to AWS-based architectures.
  • Design and maintain cloud-based data warehouse solutions using Amazon Redshift and related AWS services to support scalable, reliable, and high-performing data processing.
  • Develop governed data models, datasets, and data products that enable Tableau reporting, enterprise analytics, and self-service access to trusted business information.
  • Build and enhance scalable data extract, file delivery, and reporting solutions that reduce manual processes and improve the reliability and efficiency of enterprise data delivery.
  • Analyze and optimize ETL workflows, SQL queries, data models, and warehouse performance for large-scale datasets and complex reporting workloads.
  • Partner with business and technical stakeholders to gather requirements, understand reporting and data needs, and translate business requirements into scalable technical solutions.
  • Implement and maintain appropriate data security, role-based access controls, and governance standards across enterprise data and analytics solutions.
  • Monitor, troubleshoot, and resolve data pipeline, data quality, performance, and reporting issues while supporting critical legacy systems throughout modernization efforts.
  • Apply modern software development practices, including source control, code review, testing, CI/CD, documentation, and automation, to data engineering and analytics development.
  • Evaluate and leverage cloud-native services, automation, and AI-assisted development tools to improve development efficiency, monitoring, data operations, and analytics capabilities.
  • Collaborate with Data, Engineering, Product, and business teams to establish sustainable data solutions, reduce reliance on manual reporting and external development resources, and support the continued evolution of the enterprise data platform.

Work & Education Experience Requirements:
  • Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, or a related field required, or equivalent combination of education and experience.
  • 7+ years of experience in ETL development, data engineering, business intelligence, data warehousing, or a related discipline required.
  • Hands-on experience designing, developing, optimizing, and supporting enterprise data warehouse and ETL solutions, including Amazon Redshift, required.
  • Advanced SQL development expertise, including complex query development, data transformation, and performance optimization required.
  • Strong knowledge of data warehousing concepts, dimensional modeling, enterprise reporting architectures, and large-scale data processing required.
  • Experience gathering business requirements and translating them into scalable data integration, reporting, and analytics solutions required.
  • Experience with Microsoft SQL Server, including legacy data extraction and migration support, required.
  • Experience with SSRS reporting solutions and migrating legacy SQL Server/SSRS environments to modern cloud-based data platforms preferred.
  • Experience developing cloud-native data pipelines using AWS services such as Glue, S3, Lambda, Athena, ECS/EKS, or similar technologies preferred.
  • Experience developing Tableau dashboards, semantic data models, governed data products, and enterprise self-service analytics solutions preferred.
  • Experience implementing data governance, role-based security, Git, CI/CD pipelines, and modern software development practices preferred.
  • Experience within PBM, healthcare, pharmacy claims, 340B, rebate, or claims adjudication environments preferred.
  • Experience using AI-assisted development tools or developing AI-enabled automation, analytics, monitoring, or reporting solutions preferred.

AI Usage & Candidate Authenticity:
AI tools may be used for resume formatting or drafting application materials; however, submitting content that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to all experience listed. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitly permitted, will result in disqualification.
All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.

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