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

Data Engineer III

Dearborn, MI ยท On-site

$105K - $126K/yr

... and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives. Key ...

Data Engineer III

Dearborn, MI ยท On-site

$105K - $126K/yr

... and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives. Key ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Develop and manage data architectures, including data lakes, data warehouses, and vector databases ... Experience: Proven experience in a data engineering or similar role, with specific experience ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Implement and manage robust data governance policies, access controls, and security best practices ... Develop comprehensive documentation for data engineering processes, promoting knowledge sharing ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Implement and manage robust data governance policies, access controls, and security best practices ... Develop comprehensive documentation for data engineering processes, promoting knowledge sharing ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Implement and manage robust data governance policies, access controls, and security best practices ... Develop comprehensive documentation for data engineering processes, promoting knowledge sharing ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Implement and manage robust data governance policies, access controls, and security best practices ... Develop comprehensive documentation for data engineering processes, promoting knowledge sharing ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Implement and manage robust data governance policies, access controls, and security best practices ... Develop comprehensive documentation for data engineering processes, promoting knowledge sharing ...

GCP Data Engineer with Python

Dearborn, MI ยท On-site

$105K - $126K/yr

Strong proficiency in Python for data engineering and automation. * Experience with RDBMS ... Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline ...

Engineer audio systems and integrated technology platforms that augment the driving experience ... Define and manage platform capabilities that enable data product teams to build, test, deploy ...

New

Engineer audio systems and integrated technology platforms that augment the driving experience ... Define and manage platform capabilities that enable data product teams to build, test, deploy ...

Data Engineer (Python)

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments. 3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelines for data engineering ...

Showing results 21-40

Manager Data Engineering information

See Canton, MI salary details

$28.7K

$90K

$159.4K

How much do manager data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager data engineering in Canton, MI is $90,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $116,300.00 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 Canton, MI?

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

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

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

What job categories do people searching Manager Data Engineering jobs in Canton, MI look for?

The top searched job categories for Manager Data Engineering jobs in Canton, MI are:

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

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

Infographic showing various Manager Data Engineering job openings in Canton, MI as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $90,029 per year, or $43.3 per hour.

Data Engineer III

HTC Global Services Inc

Dearborn, MI โ€ข On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately. This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives. Key Responsibilities Collaborate with business and technology stakeholders to understand current and future data requirements. Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications. Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses for structured and unstructured data. Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation. Develop and maintain scalable data ingestion and curation pipelines from diverse data sources. Standardize and optimize data for analytical use while maintaining data quality. Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines. Utilize GCP services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms. Implement and manage data governance policies, access controls, and security best practices. Support efficient data workflow management and cloud infrastructure provisioning using Infrastructure as Code (IaC) best practices. Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. Identify opportunities to improve resource utilization and cost-effectiveness. Collaborate with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering. Automate data platform processes to improve reliability, data quality, and operational efficiency. Communicate complex technical decisions clearly to technical and non-technical stakeholders. Stay current with industry trends and emerging technologies and identify opportunities to improve data platforms and capabilities. Develop comprehensive documentation for data engineering processes to support knowledge sharing, collaboration, and long-term system maintainability. Required Qualifications 7+ years of experience in Data Engineering. Bachelor's degree. Experience with Google Cloud Platform (GCP). Experience with GCP Cloud Run and BigQuery. Experience with Kafka. Experience with cloud architecture and cloud computing. Experience with software development and application development. Experience with SQL. Experience with Big Data technologies. Experience with Java. Experience with Python. Experience with application testing. Experience with Agile software development. Experience with APIs. Experience related to Artificial Intelligence and Expert Systems. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, youโ€™ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. Youโ€™ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-Hybrid #LI-AA1