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Manager Data Engineering Jobs in Detroit, MI (NOW HIRING)

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines. * Software Engineering Foundation: Solid understanding of data structures, algorithms, and ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines. • Software Engineering Foundation: Solid understanding of data structures, algorithms, and ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Familiarity with customer data platforms, customer analytics, or audience management solutions * Experience with machine learning data preparation and feature engineering * Understanding of data ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Manage and steer the allocation of practice resources across multiple activities, including ... Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based ...

Enterprise Data Architect

Livonia, MI · On-site

$125 - $150/hr

Establish and evolve the semantic and dimensional modeling framework used by BI and Engineering.* Evaluate and lead implementation of master data management tools and processes to support the ...

... Cloud Engineering, Endpoint, Network, Messaging, and business teams. * Oversee phased global ... management platforms. * Provide senior oversight for significant data-loss, insider-risk, or ...

Establish and evolve the semantic and dimensional modeling framework used by BI and Engineering. Evaluate and lead implementation of master data management tools and processes to support the governed ...

Posted today

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... · Manage data versioning, metadata, and dataset governance to support model training, evaluation ... Required Qualifications: · Minimum 3 years of experience in data engineering, machine learning ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

This role focuses on production-ready data engineering-ensuring data is reliable, governed ... Knowledge of data governance, metadata management, and lineage tools * Experience supporting BI or ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Experience ... The company specializes in Business and Management Consulting, AI/ML, Data Analytics ...

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology ... Initiate and manage efforts to improve data quality, operational efficiency, and process ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Manage and provision cloud infrastructure using Terraform. * CI/CD & Automation: Streamline ...

Showing results 41-60

Manager Data Engineering information

See Detroit, MI salary details

$30.7K

$96.2K

$170.3K

How much do manager data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager data engineering in Detroit, MI is $96,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,200.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Detroit, MI?

The most popular types of Data Engineering jobs in Detroit, MI are:

What are popular job titles related to Manager Data Engineering jobs in Detroit, MI?

For Manager Data Engineering jobs in Detroit, MI, the most frequently searched job titles are:

What cities near Detroit, MI are hiring for Manager Data Engineering jobs?

Cities near Detroit, MI with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Detroit, MI as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $96,170 per year, or $46.2 per hour.

Senior Manager Data Lead

Deloitte

Detroit, MI

Full-time

Posted 19 days ago


Key responsibilities

  • Lead the design and delivery of AI solutions for client engagements.

  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms.

  • Manage day-to-day stakeholder relationships and oversee the quality of team deliverables.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Deloitte's Healthcare Consulting practice is one of the largest in the world. Our practice delivers distinctive services to the country's largest national and regional health plans, 10 of the 10 largest healthcare systems and 8 of the 10 largest for-profit healthcare systems in the US. Our healthcare practice seeks to transform the delivery of care, modernize the industry and enhance our clients' business and operational models.

Many Providers have felt the heavy impact of various government regulations and have experienced a period of decreasing margins and increasing emphasis on cost controls. Our healthcare professionals enable health care providers (from physicians to integrated delivery systems) to improve the cost effectiveness and quality of their care delivery capabilities. Deloitte Consulting can help clients address these and other challenges in today's complex health care environment.

Qualifications

Required:

  • 10+ years experience delivering AI and Data solutions for Healthcare Provider organizations to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
  • 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, to include:
    • Cloud and on-premises data landscape (ie: Snowflake, Databricks, BigQuery, Teradata)
    • ETL/ELT tools and data integration patterns within cloud ecosystems
    • Healthcare provider data ecosystems, such as Epic Clarity, Epic Caboodle, or Cerner/Oracle Health databases
    • Clinical data exchange and coding standards, including HL7, FHIR, and ICD
    • Data operations (ie: orchestration, monitoring, data quality, production support, and incident resolution)
  • 4+ years experience leading, managing and delivering complex AI and Data engagements
  • 2+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $193,725 to $322,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Deloitte's Healthcare Consulting practice is one of the largest in the world. Our practice delivers distinctive services to the country's largest national and regional health plans, 10 of the 10 largest healthcare systems and 8 of the 10 largest for-profit healthcare systems in the US. Our healthcare practice seeks to transform the delivery of care, modernize the industry and enhance our clients' business and operational models.

Many Providers have felt the heavy impact of various government regulations and have experienced a period of decreasing margins and increasing emphasis on cost controls. Our healthcare professionals enable health care providers (from physicians to integrated delivery systems) to improve the cost effectiveness and quality of their care delivery capabilities. Deloitte Consulting can help clients address these and other challenges in today's complex health care environment.

Qualifications

Required:

  • 10+ years experience delivering AI and Data solutions for Healthcare Provider organizations to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
  • 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, to include:
    • Cloud and on-premises data landscape (ie: Snowflake, Databricks, BigQuery, Teradata)
    • ETL/ELT tools and data integration patterns within cloud ecosystems
    • Healthcare provider data ecosystems, such as Epic Clarity, Epic Caboodle, or Cerner/Oracle Health databases
    • Clinical data exchange and coding standards, including HL7, FHIR, and ICD
    • Data operations (ie: orchestration, monitoring, data quality, production support, and incident resolution)
  • 4+ years experience leading, managing and delivering complex AI and Data engagements
  • 2+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $193,725 to $322,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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