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Data Engineer Jobs in Monroe, MI (NOW HIRING)

Cloud Data Architect

Ann Arbor, MI ยท On-site +1

$107K - $176K/yr

Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making. * Enable secure, automated delivery of curated data ...

NGA AI Engineer Manager

Toledo, OH ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Sr. Software Engineer - AI/ML

Ann Arbor, MI ยท On-site

$119K - $158K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Sr. Software Engineer - AI/ML

Ann Arbor, MI ยท Hybrid

$119K - $158K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Sr. Software Engineer - AI/ML

Ann Arbor, MI ยท Hybrid

$119K - $158K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Sr. Software Engineer - AI/ML

Ann Arbor, MI ยท Hybrid

$119K - $158K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Showing results 41-60

Data Engineer information

See Monroe, MI salary details

$41.2K

$120.1K

$164.3K

How much do data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer in Monroe, MI is $120,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $127,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Monroe, MI?

The most popular types of Data Engineer jobs in Monroe, MI are:

What are popular job titles related to Data Engineer jobs in Monroe, MI?

For Data Engineer jobs in Monroe, MI, the most frequently searched job titles are:

What cities near Monroe, MI are hiring for Data Engineer jobs?

Cities near Monroe, MI with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Monroe, MI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,080 per year, or $57.7 per hour.

Senior Systems Engineer, Event Detection and Response

May Mobility

Ann Arbor, MI โ€ข On-site

$102K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Job Summary

As a Systems Engineer, Event Detection & Response Engineer you will leverage a comprehensive understanding of our autonomous system to facilitate high-impact, cross-functional engineering initiatives. In this role your mission is to own the detection of critical system events from vehicle logs and drive rapid issue resolution across the organization. You will design, implement, and maintain event detectors that surface safety-relevant and performance-degrading behaviors from field data, then work hand-in-hand with data engineering and simulation teams to operationalize these detectors - accelerating root cause analysis, regression coverage, and resolution cycle time.

Essential Responsibilities

  • Support safety risk assessments for complex driving maneuvers to ensure functional safety goals are met, leveraging event detector outputs to quantify exposure and severity in field data.
  • Design, implement, and maintain event detectors for vehicle log data - translating observed field behaviors, near-misses, and edge cases into precise, reproducible detection logic.
  • Partner with data engineering and simulation teams to integrate event detectors into automated pipelines, ensuring detected events are consumed in regression suites and simulation scenario libraries to accelerate issue discovery and resolution.
  • Collaborate with cross-functional teams to develop system-level concepts for critical autonomous vehicle features., with a focus on defining observable, measurable behaviors that can be monitored in production log data.
  • Define and maintain system and subsystem requirements, ensuring full traceability from stakeholder needs to technical implementation., including traceability from requirement to field event detector to simulation scenario.
  • Analyze large-scale vehicle log datasets to characterize event frequency, severity, and distribution across the operational design domain (ODD); communicate findings to engineering leadership and safety teams.

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required Qualifications:

  • 3-5 years of experience in automotive or robotics engineering, with at least 2 years working on autonomous driving systems in a data analysis, systems, or software engineering capacity.
  • Strong understanding of automotive and autonomous vehicle technologies., including sensor modalities (camera, lidar, radar), perception pipelines, and prediction/planning system behavior.
  • Hands-on experience writing signal- or rule-based detectors, classifiers, or monitors against structured log data (e.g., ROS bags, Parquet/Arrow, or proprietary vehicle log formats).
  • Familiarity with autonomous vehicle simulation platforms (e.g., CARLA, in-house sim); ability to translate a log-derived event into a parameterized simulation scenario.
  • Ability to perform data analysis on large datasets. using Python (pandas, numpy, polars) and SQL; experience with distributed data platforms (Spark, Dask, or similar) is a plus.
  • Experience using Linux, command-line interface, git or any source control is required.
  • Knowledge of requirements management and requirement-based design., with experience linking field observations back to system-level requirements and safety claims.
  • Strong communication skills with technical and non-technical teams.
  • Comfortable continuously learning new software and workflows.

Physical Requirements

  • Standard office working conditions which includes but not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel Required? ย 0-10%

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.ย 
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.ย 
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeingย ย ย 
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out ourย website!

May Mobility is an equal opportunity employer.ย  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. ย  Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.ย  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies:ย May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.