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Data Operations Engineer Jobs in Michigan (NOW HIRING)

... operations. * Apply best practices in data modeling for enterprise-scale data warehouse ... Work closely with developers to structure data for efficient Power BI usage, including semantic ...

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

... operations. * Apply best practices in data modeling for enterprise-scale data warehouse ... Work closely with developers to structure data for efficient Power BI usage, including semantic ...

Infrastructure Engineer

Dearborn, MI · On-site

$99K - $129K/yr

... data centers, manufacturing facilities, office locations, and cloud platforms. The role requires a ... Network Operations & Support:Provide Level 3 support for network incidents and configuration ...

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Stefanini is looking for a Network Operations Engineer (Dearborn, MI) For quick apply, please reach ... data centers, manufacturing facilities, office locations, and cloud platforms. The role requires a ...

Stefanini is looking for a Network Operations Engineer (Dearborn, MI) For quick apply, please reach ... data centers, manufacturing facilities, office locations, and cloud platforms. The role requires a ...

Stefanini is looking for a Network Operations Engineer (Dearborn, MI) For quick apply, please reach ... data centers, manufacturing facilities, office locations, and cloud platforms. The role requires a ...

Stefanini is looking for a Network Operations Engineer (Dearborn, MI) For quick apply, please reach ... data centers, manufacturing facilities, office locations, and cloud platforms. The role requires a ...

The Senior Director of Data Analytics & AI Engineering leads a major function within OhioHealth ... Partner with business, clinical, and operational stakeholders to define desired outcomes, shape ...

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Showing results 1-20

Data Operations Engineer information

See Michigan salary details

$31.4K

$74.1K

$117.7K

How much do data operations engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data operations engineer in Michigan is $74,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $81,900.00 per year, depending on experience, location, and employer.

What does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently and accurately. They often work with tools like SQL, Python, and cloud platforms to automate data workflows, troubleshoot issues, and optimize data systems for analytics and reporting.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What engineers make $300,000 a year?

Senior data operations engineers, especially those with extensive experience, advanced skills in data management, automation, and cloud platforms, can earn $300,000 or more annually. High compensation often depends on factors such as location, industry, certifications, and the complexity of data systems managed.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are the key skills and qualifications needed to thrive as a Data Operations Engineer, and why are they important?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What engineers make $500,000?

Senior data operations engineers with extensive experience, advanced skills in data management, automation, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

What are some common challenges faced by Data Operations Engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.
What are popular job titles related to Data Operations Engineer jobs in Michigan? For Data Operations Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Operations Engineer jobs in Michigan look for? The top searched job categories for Data Operations Engineer jobs in Michigan are:
Infographic showing various Data Operations Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,110 per year, or $35.6 per hour.

Operations Electrical Engineer (Electronics)

Acron Aviation

Grand Rapids, MI

Full-time

Posted 19 days ago


Job description

Position Summary
At Acron, our ambition is to relentlessly reimagine and reshape the value chains through which we deliver results to our customers, suppliers, and stakeholder communities-all in pursuit of innovations that create safer skies. Across the Avionics Business Unit, our employees strive to achieve world‑class results by putting customers first, displaying ownership of outcomes, moving fast, and speaking candidly. To support this ambition, we are seeking an Operations Engineer – Displays as part of the Acron Avionics Business Unit, based on-site in Grand Rapids, MI.

This role is focused on driving Zero Defects in the middle of the manufacturing process, where design intent meets production reality. The Operations Engineer owns Rolled Throughput Yield (RTY) performance for the Displays product line and uses RTY and defect data to frame, prioritize, and lead continuous improvement initiatives. These efforts are aimed at eliminating systemic defect drivers, stabilizing manufacturing and test processes, and structurally removing cost from both product and process, rather than relying on inspection, rework, or short‑term containment.

This position requires practical experience in Circuit Card Assembly (CCA) design to diagnose manufacturing defects arising from marginal design decisions, component selection, layout sensitivities, or testability limitations. Operating in a complex, regulated avionics manufacturing environment, the role partners closely with Manufacturing, Test, and Operations, and works in tight collaboration with Quality, who owns first‑mile and last‑mile quality including supplier and customer‑facing issues. The Operations Engineer leads defect resolution within the factory, ensures corrective actions are permanent and prevention‑based, and applies design‑informed manufacturing insight to strengthen process robustness and execution.
Rolled Throughput Yield Ownership & Analytics
  • Own Rolled Throughput Yield (RTY) for the Displays product line, including analysis by process step, failure mechanism, and product variant
  • Identify leading indicators of RTY degradation (repeat defects, rework loops, test fallout) and act before yield loss escalates
  • Develop RTY loss trees and defect paretos to focus improvement activity on highest‑impact opportunities
Defect Resolution
  • Lead structured defect resolution for manufacturing, integration, calibration, and test‑induced failures
  • Drive cross‑functional root cause analysis and corrective actions relating to factory failures in collaboration with Manufacturing, Manufacturing/Test/Design Engineering, Operations, and Quality
  • Partner with Quality Engineering to provide deep manufacturing and CCA‑specific technical insight to Quality‑led investigations
  • Collaborate with Manufacturing Engineering and Test Engineering to address CCA‑related defect drivers through improved process controls, screening strategies, test conditions, or work instructions
  • Apply CCA‑level design knowledge (schematics, layouts, component behavior, and manufacturing interfaces) to identify defect root causes related to soldering, component sensitivity, layout robustness, thermal effects, and test access
Continuous Improvement & Cost Takeout
  • Use RTY and defect data to frame continuous improvement projects that eliminate waste, rework, and non‑value‑added process steps
Required Qualifications
  • Bachelor’s degree in Engineering (Manufacturing, Electrical/Computer, Mechanical, Systems, or related). Electrical/Computer Engineering preferred.
  • 3+ years of experience in manufacturing, operations engineering, production engineering, or sustaining engineering
  • Demonstrated experience improving yield (RTY/FPY) and resolving systemic defects in a complex manufacturing environment
  • Hands‑on experience with Circuit Card Assembly (CCA) at the design‑manufacturing interface, such as Design for Manufacturing (DFM) support, electronics troubleshooting, sustaining engineering, or manufacturing support
  • Ability to interpret schematics, layouts, and component behavior to assess impact on manufacturability, testability, and RTY
  • Strong structured problem‑solving capability (i.e. A3, 5‑Why, Fishbone, PDCA)
  • Experience partnering with Quality, Manufacturing, and Test in a regulated environment (Aerospace, Defense, Medical, Automotive, or similar)
Preferred Qualifications
  • Experience with avionics, displays, electronics, or electro‑mechanical assemblies
  • Prior involvement with high‑reliability CCA manufacturing (IPC Class 3, AS9100 environments)
  • Familiarity with common CCA defect mechanisms (solder joint reliability, thermal stress, component derating, layout‑induced sensitivity, test‑induced failures)
  • Exposure to Lean Manufacturing, Continuous Improvement, or formal operating systems
Equal Opportunity Statement
Acron Aviation is proud to be an Affirmative Action and Equal Opportunity Employer. We are committed to treating all employees and applicants with respect and dignity and to maintaining a workplace free from unlawful discrimination. All applicants will be considered for employment regardless of race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding, or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or any other legally protected characteristic.
 
Additional Information:
Acron Aviation maintains a drug-free workplace and conducts pre-employment substance abuse testing and background checks, where allowed by law. Acron Aviation is an E-Verify employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.