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Lead Data Engineer Jobs in Michigan (NOW HIRING)

Snowflake Data Engineer with AWS

Detroit, MI · On-site

$104K - $125K/yr

Snowflake Data Engineer/ Lead Location: Detroit, MI Duration: 12 Months Description: We are looking for 12+ years of experienced Data Engineer / Technical Lead with mandatory expertise in Snowflake ...

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

Data Engineer

Grand Rapids, MI

$110K - $132K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

Data Engineer

Midland, MI · On-site

$98K - $118K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month ... Lead the design, development, and implementation of custom reports and dashboards within WorkForce ...

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... Lead or support discovery sessions, requirements workshops, architecture discussions, and solution ...

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

... Lead or support discovery sessions, requirements workshops, architecture discussions, and solution ... data engineering, data platform development, or cloud data solutions 3+ years of hands-on ...

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Engineer audio systems and integrated technology platforms that augment the driving experience ... The Data Platform Lead works closely with the Data Platform Portfolio Manager, Enterprise ...

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery. Data Governance: Consult on, design, and implement governance, security ...

Data Engineer II

Grand Rapids, MI

$110K - $132K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

Data Engineer II

Midland, MI · On-site

$98K - $118K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... You will lead complex technical work within your domain, mentor engineers, raise engineering ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... You will lead complex technical work within your domain, mentor engineers, raise engineering ...

Connected Data Engineer

Dearborn, MI · Hybrid

$105K - $126K/yr

You will lead cross-functional teams to resolve issues before they reach the customer, driving ... Masters's degree in Electrical, Computer, Systems, or Data Engineering preferred. Ability to ...

Data Engineer II

Lansing, MI

$116K - $139K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

Showing results 21-40

Lead Data Engineer information

See Michigan salary details

$37K

$107.9K

$157.3K

How much do lead data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for lead data engineer in Michigan is $107,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $117,700.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What job categories do people searching Lead Data Engineer jobs in Michigan look for?

The top searched job categories for Lead Data Engineer jobs in Michigan are:

Infographic showing various Lead Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $107,890 per year, or $51.9 per hour.

Lead Data Scientist

Detroit, MI • On-site

Henry Ford Health System
51 - 200 employees

Full-time

Re-posted 8 days ago


Job description

GENERAL SUMMARY:
Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist architects, defines, and design the data science solution, and works with Data Scientist, Associate Data Scientist, and other business analysts to implement the data science solution. Works/collaborates with various teams to build the solution and implement the solution in operations. Lead Data Scientist, Healthcare Analytics develops cutting edge solutions to resolve complex business problems. Skilled in using statistical techniques and good at solution architecting, design and implementing the solution. Hands on in using a variety of common analytical and AI tools. Will present findings in a compelling manner to system leaders, technical and non-technical audience. The position requires a team lead mindset who is ready to lead and deliver the projects using agile methodology.
EDUCATION/EXPERIENCE REQUIRED:
  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field.
  • Master's degree or PhD degree is preferred.
  • Five plus (5+) years of professional work experience.
  • Three plus (3+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry.
  • One plus (1+) year experience working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. Advanced SQL skills working with RDBMSs such as SQL Server, Oracle etc.
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
  • Experience working with data visualization tools or Data Visualization Designers in Power BI.
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. Strong communication and presentation skills.
  • Effective communication and storytelling skills.
  • Passion for continuous learning and contributing to hands on development.
  • A true team player. Collaborative mindset for effective communication across teams.