1

Data Engineer Manager Jobs in Monroe, MI (NOW HIRING)

This role requires expertise in building scalable data pipelines, managing cloud-based data warehousing solutions, and implementing data quality frameworks. The Senior Data Engineer will collaborate ...

... programming languages such as Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging ...

Lead and supervise the engineering team and machine shop by providing performance management ... performance data • Vision and ability to translate progressive operating techniques into ...

Lead and supervise the engineering team and machine shop by providing performance management ... performance data · Vision and ability to translate progressive operating techniques into ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Data Flywheel Integration: Manage the ingestion of tagged events into the observations database ... Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Data Flywheel Integration: Manage the ingestion of tagged events into the observations database ... Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ...

Showing results 21-40

Data Engineer Manager information

See Monroe, MI salary details

$41.2K

$120.1K

$164.3K

How much do data engineer manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer manager in Monroe, MI is $120,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $127,300.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are popular job titles related to Data Engineer Manager jobs in Monroe, MI?

For Data Engineer Manager jobs in Monroe, MI, the most frequently searched job titles are:

What cities near Monroe, MI are hiring for Data Engineer Manager jobs?

Cities near Monroe, MI with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Monroe, MI as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 53% Full Time, 41% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,080 per year, or $57.7 per hour.

Senior Software Engineer

Welltower

Toledo, OH

$150K - $225K/yr

Full-time

Re-posted 16 days ago


Job description

WELLTOWER – REIMAGINE REAL ESTATE WITH US 

At Welltower, we’re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious—guided by our mantra: The only easy day was yesterday. 

We’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team.  

ABOUT THE ROLE 

The Senior Software Engineer at Welltower is responsible for designing, implementing, and maintaining robust data infrastructure that powers the organization's analytics and business intelligence initiatives. This role requires expertise in building scalable data pipelines, managing cloud-based data warehousing solutions, and implementing data quality frameworks. The Senior Data Engineer will collaborate with cross-functional teams, lead data engineering projects to completion, and establish best practices for data management across the organization.

KEY RESPONSIBILITIES 

  • Design, develop, and maintain scalable ELT data pipelines to support time-series based analytics and reporting needs
  • Architect and implement data models and solutions in Snowflake to ensure optimal performance and accessibility
  • Build and manage AWS-based infrastructure
  • Implement and maintain data orchestration workflows using industry-standard tools to automate data processing
  • Establish data quality frameworks and automated testing procedures to ensure data integrity and reliability
  • Deploy CI/CD pipelines for data infrastructure to enable efficient, reliable, and repeatable deployments
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement solutions
  • Establish data engineering best practices and standards
  • Create comprehensive documentation for data processes, models, and infrastructure
  • Implement data governance practices and ensure compliance with regulatory requirements
  • Proactively identify and resolve data-related issues and bottlenecks

TECH STACK

  • Cloud Platforms: AWS
  • Data Warehousing: Snowflake
  • Orchestration Tools: Airflow
  • Data Transformation: dbt-core
  • Programming Languages: Python, SQL, Node
  • CI/CD Tools: Gitlab Pipelines
  • Version Control: Git
  • Infrastructure as Code: Terraform
  • Monitoring & Observability: Datadog

OTHER DUTIES 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

TRAVEL 

Minimal out-of-area and overnight travel may be expected.

MINIMUM REQUIREMENTS 

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field
  • 5+ years of experience in data engineering with a focus on cloud-based data infrastructure
  • Strong Proficiency our tech stack or similar technologies
  • Experience implementing and managing data pipelines and ETL/ELT processes
  • Knowledge of data modeling, database design, and optimization techniques
  • Experience with CI/CD practices for data infrastructure
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to collaborate with cross-functional teams

Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position.   

COMPENSATION

Salaries may vary by location. The base salary range for this role in New York is $150,000 – $225,000.In addition to base pay, this role is eligible for a highly competitive and lucrative total rewards package, which includes:

  • Annual bonus opportunity
  • Lucrative equity awards through our long-term incentive program
  • A comprehensive benefits suite

ABOUT WELLTOWER 

Welltower® Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults inthe United States,United Kingdom, andCanada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. 

Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments.Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. 

Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors – ourNorth Star. 

Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet