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Lead Data Engineer Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. * Responsible for assisting in configuration and scripting to implement ...

BDO

IT Lead Data Engineer

Grand Rapids, MI · On-site

The Lead Data Engineer is expected to be an expert at effectively working with business partners to understand their data needs and develop technical designs and requirements to meet those needs.

BDO USA

IT Lead Data Engineer

Grand Rapids, MI · On-site

The Lead Data Engineer is expected to be an expert at effectively working with business partners to understand their data needs and develop technical designs and requirements to meet those needs.

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. * Responsible for assisting in configuration and scripting to implement ...

Rocket

Team Leader Data Engineering

Detroit, MI · On-site

$113K - $135K/yr

... or Lead Data Engineer building scalable enterprise data platforms and distributed systems • Bachelor's degree or equivalent experience in Computer Science, Information Technology, or a related ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices. * By collaborating ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices. * By collaborating ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the design, development, and implementation of enterprise-scale data solutions using Microsoft Azure ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Lead the design and development of ETL/ELT code to integrate data into the enterprise data lake using IICSd (Informatica Intelligent Cloud Services) and AWS Glue; mentor junior engineers and ...

Conclusive Marketing

Lead Data Scientist

Detroit, MI · On-site

As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven ... Collaborate with engineering, marketing, and strategic partners to integrate models into real-world ...

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven ... Collaborate with engineering, marketing, and strategic partners to integrate models into real-world ...

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Showing results 1-20

All JobsLead Data Engineer JobsLead Data Engineer Jobs in Michigan

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 are popular job titles related to Lead Data Engineer jobs in Michigan? For Lead Data Engineer jobs in Michigan, the most frequently searched job titles are:
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:
Lead Data Engineer jobs near you

Data Engineer

Tech Tammina LLC

Okemos, MI • On-site

$103K - $124K/yr

Contractor

Posted 12 days ago

Job description

Role: Data Engineer

Location: Okemos, MI (Hybrid/ Onsite)

Duration: Long term

Rate: Market

F2F is must, Need USC/ GC

Responsibilities: 

  • Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. 
  • Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with updating the enterprise standards when gaps are identified. 
  • Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. 
  • Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers. 
  • Follows standard change control and configuration management practices. 
  • Participates in 24-hour on-call rotation in support of the platform. 

Required Skills/Qualifications:

  • Database Platforms: Snowflake, Oracle, and SQL Server 
  • OS Platforms: RedHat Enterprise Linux and Windows Server 
  • Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. 
  • Experience creating and maintaining ETL processes that use Salesforce as a destination. 
  • Drive and desire to automate repeatable processes. 
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization.