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Senior Data Analytics Engineer Jobs in Michigan (NOW HIRING)

Manufacturing Data Analytics Engineer

Hemlock, MI ยท On-site

$96K - $116K/yr

Manufacturing Data Analytics Engineer Location: Onsite at Hemlock, MI Duration: 4+ Months Hours: Monday - Friday, 8 - 5pm (OT is possible) Only W2 candidates are eligible for this position. Third ...

Senior Data Engineer

Lansing, MI

$107K - $146K/yr

Senior Data Engineer #1061723 Position Summary: The Michigan Department of Technology, Management ... Analyze project, portfolio, financial, schedule, resource, governance, and operational data to ...

Data Engineer III/Senior (Analytics)

Romulus, MI ยท On-site

$102K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Strong experience in project management reporting and portfolio analytics. * Hands-on experience ...

Sr Data Engineer in Lansing MI Hybrid

Lansing, MI ยท On-site

$107K - $146K/yr

Senior Data Engineer Location: Lansing, MI (Hybrid Local Candidates Only) Duration: 1+ Year ... Analyze project, portfolio, financial, schedule, resource, governance, and operational data to ...

Position: Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options ... Collaborate with business analysts and stakeholders to gather requirements and deliver clean ...

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: Contract / Requirement:3-7 years of ... Strong experience in project management reporting and portfolio analytics.Hands-on experience with ...

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: Contract / Requirement: * 3-7 years ... Strong experience in project management reporting and portfolio analytics. * Hands-on experience ...

Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

Job Title: Senior Data Engineer Location: Lansing, MI Duration: 12 + Months Position ... Analyze project, portfolio, financial, schedule, resource, governance, and operational data to ...

Data Engineer (Python)

Auburn Hills, MI ยท On-site

$108K - $130K/yr

... The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Michigan salary details

$70.6K

$110.1K

$152.5K

How much do senior data analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data analytics engineer in Michigan is $110,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Michigan? The most popular types of Data Analytics Engineer jobs in Michigan are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Michigan? For Senior Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Michigan look for? The top searched job categories for Senior Data Analytics Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Data Analytics Engineer jobs? Cities in Michigan with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,107 per year, or $52.9 per hour.

Manufacturing Data Analytics Engineer

DivIHN

Hemlock, MI โ€ข On-site

$96K - $116K/yr

Contractor

Posted 12 days ago


Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Lavanya at (224) 369 0873, (or) Deepak at (224) 507 1279
Title: Manufacturing Data Analytics Engineer
Location: Onsite at Hemlock, MI
Duration: 4+ Months
Hours: Monday - Friday, 8 - 5pm (OT is possible)
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
This position requires U.S. Citizens only to meet the DoD requirements.
Position Summary:
We are seeking a contract Data & Performance Engineer to support data management, reporting, and process improvement initiatives across the organization. This role will be responsible for owning and maintaining data reporting tools, developing and enhancing Power BI dashboards, analyzing performance trends, and partnering with IT and business stakeholders to improve data visibility and reporting capabilities. The ideal candidate will have a strong technical background, experience working with large data sets, proficiency in Power BI, and a demonstrated ability to apply Lean principles to improve workflows and reporting processes.
Key Responsibilities:
  • Own and manage data reporting processes, tools, and dashboards to support business performance tracking.
  • Develop, maintain, and enhance Power BI dashboards and reports for operational and strategic use.
  • Analyze data and report out on performance trends, key metrics, and opportunities for improvement.
  • Partner with IT and cross-functional teams to develop, improve, and automate reporting solutions in Power BI and related systems.
  • Ensure data accuracy, consistency, and integrity across reporting platforms.
  • Identify reporting gaps and recommend solutions to improve data accessibility and decision-making.
  • Support the design and implementation of Lean workflows and continuous improvement initiatives.
  • Document reporting processes, dashboard logic, and data definitions for ongoing support and sustainability.
  • Provide insights and recommendations based on data analysis to support operational performance improvements.
  • Assist in standardizing metrics, reporting structures, and workflow processes across teams.

Required Qualifications:
  • Bachelor's degree in Engineering or other technical field.
  • 5+ years of experience
  • Experience with reporting and data visualization.
  • Strong data management and analytical skills, including the ability to interpret and communicate performance trends.
  • Experience collaborating with IT and business stakeholders on reporting or system enhancement projects.
  • Knowledge of Lean principles, process improvement methodologies, or workflow optimization.
  • Strong problem-solving, organizational, and communication skills.
  • Ability to work independently in a contract role while managing multiple priorities.

Preferred Qualifications:
  • Experience with PowerBI's
  • Experience in manufacturing, operations, supply chain, or other performance-driven environments.
  • Familiarity with SQL, Excel, Power Query, DAX, or other reporting and analytics tools.
  • Experience with continuous improvement initiatives and KPI development.
  • Knowledge of data governance and reporting best practices.