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Lead Data Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Lead and deliver exceptional data driven solutions across many different languages, tools, and ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Lead and deliver exceptional data driven solutions across many different languages, tools, and ...

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 ...

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 ...

Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

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 ...

Sr Databricks Data Engineer

Detroit, MI

$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 ...

Senior Data Engineer

Warren, MI

$99K - $135K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure ... Lead the transformation of raw data from multiple source systems into trusted, well-structured ...

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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 Jun 13, 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?

A lead data engineer is a senior technical role responsible for designing, building, and maintaining an organization’s data infrastructure and pipelines. They often oversee data teams, ensure data quality, and work with tools like SQL, Spark, and cloud platforms to support data analytics and business decision-making.

How much do lead data engineers get paid?

Lead data engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles often include expertise in big data tools like Hadoop and Spark, and may involve leadership responsibilities and advanced certifications.

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

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.

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 are Lead Data Engineers?

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI models effectively. Their expertise remains critical in managing complex data environments and integrating new technologies.

What engineers make 500,000?

Lead Data Engineers and senior engineering roles in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in big data tools, cloud platforms, and leadership responsibilities. Compensation varies based on company size, location, and individual expertise.
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:

Data Engineer

Bright Mind Solutions LLC

Warren, MI • On-site

$45 - $50/hr

Contractor

Posted 6 days ago


Job description

5 Days onsite role in Warren, MI
 
Only W2 no C2C 
 

50/hr on w2 max

Specific Responsibilities of this Position:

As a Data Engineer, you will build industrialized data assets and data pipelines in support of Business Intelligence and Advance Analytic objectives. The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI developers, System Architects, and Data Architects to deliver value to our vision for the future. Our team focuses on writing maintainable tests and code that meet the customer’s need and scale without rework. Our engineers and architects work in highly collaborative environments across many disciplines (user experience, database, streaming technology, custom rules engines, and ai/ml and most web technologies). We work on innovative technologies – understanding and inventing modern designs and integration patterns along the way. Our Data Engineers must –
• You will assemble large, complex data sets that meet functional / non-functional business requirements.
• You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Lead and deliver exceptional data driven solutions across many different languages, tools, and technology.
• Develop a culture which takes challenging and complex ideas and turns them into production solutions.
• Have a broad, enterprise-wide view of business and varying degrees of appreciating for strategy, process, capabilities, enablers, and governance.
• Be able to critically apply themselves to solving problems in an interconnected and integrated environment.
• Think strategically about adopting innovative technologies that are beyond the horizon and deliver on sound solution design.
• Create high-level models that can be leveraged in future analysis to extend and mature the business architecture.
• Working towards continuously raising our standards of engineering excellence in quality, efficiency, and developing repeatable designs.
• Performing hands-on development, leading code reviews and testing, creating automation tools, and creating proofs of concepts
• Ability to work along with operations team during any production issues related to platform.
• Best practices like agile methodologies, design thinking and continuous deployment that will allow you to innovate fast.
• Deliver solutions across Big Data applications to support business strategies and deliver business value.
• Build tool / automation to make deployment and monitoring production environment more repeatable.
• Build strong relationships with Business & Technology Partners and provide leadership, direction, best practices, and coaching to technology development teams.
• Owning all Technical aspects of development and for assigned applications.
• Driving continuous improvement in applications, through use of consistent development practices and tools, and through ongoing design and code refactoring
• Collaborating with stakeholders through ongoing product and platform releases, to solve existing needs, identify exciting opportunities, and predict future challenges.
• Working closely with product managers and architects to prioritize and manage features, technical requirements, known defects, and issues.
• Managing and appropriately escalating delivery impediments, risks, issues, and changes tied to the product development initiatives.
• Data Integration – Design and develop new source system integrations from a variety of formats including files, database extracts and APIs.
• Data Pipelines – Design and develop highly scalable Data Pipelines that incorporate complex transformations and efficient code.
• Data Delivery – Design and develop solutions for delivering data that meets SLAs

Job Description:

Summary:
The main function of a Software Engineer is to design, develop, implement, test, and maintain business and computer applications software or specialized utility programs including mainframe and client/server applications, and major enhancement of existing systems
Job Responsibilities:
• Fine-tune and improve a variety of sophisticated software implementation projects
• Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs and data
• Analyze and review enhancement requests and specifications
• Implement system software and customize to client requirements
• Prepare the detailed software specifications and test plans
• Code new programs to client’s specifications and create test data for testing
• Modify existing programs to new standards and conduct unit testing of developed programs
• Create migration packages for system testing, user testing, and implementation
• Provide quality assurance reviews
• Perform post-implementation validation of software and resolve any bugs found during testing
Qualifications:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• 5-7 years experience required
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
• large systems software design and development experience
• Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems
• experience in programming and experience with problem diagnosis and resolution

Additional Skills (Indicate if preferred or required):

Expert in multiple tools and technologies including Azure and Databricks
Scala, Spark, Python, SQL, .NET, REST API, Angular
SQL Server, PostgreSQL, SQL Server Integration Services (SSIS), Complex ETL with massive data, PowerB

If you are interested or have any references please share resume at mukul@brightmindsol.com.