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

Pwc

US Tech - AI Engineering Manager

Toledo, OH · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Pwc

CTIO - AI Engineer- Senior Manager

Toledo, OH · On-site

$91K - $321K/yr

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... Responsibilities - Leading the design and development of advanced data solutions to transform raw ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

With over four decades of experience in managing the systems and workings of global enterprises, we ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

Tenneco

Application Engineer

Monroe, MI · On-site

Working under guidance of Engineering Managers, this role focuses on building foundational ... Support preparation of technical data and presentations for customer interactions. * Participate in ...

Tenneco

Application Engineer

Monroe, MI · On-site

Working under guidance of Engineering Managers, this role focuses on building foundational ... Support preparation of technical data and presentations for customer interactions. * Participate in ...

Tenneco

Application Engineer

Monroe, MI · On-site

Working under guidance of Engineering Managers, this role focuses on building foundational ... Support preparation of technical data and presentations for customer interactions. * Participate in ...

Tenneco

Application Engineer

Monroe, MI · On-site

Working under guidance of Engineering Managers, this role focuses on building foundational ... Support preparation of technical data and presentations for customer interactions. * Participate in ...

Venteon

Crane Project Engineer

Toledo, OH · On-site

$100K/yr

Support Engineering Manager with administrative tasks such as report creation, data analysis, and ... workflow improvements. Authority to stop production in the event due to poor quality, unsafe parts ...

Venteon

Crane Project Engineer

Toledo, OH · On-site

Support Engineering Manager with administrative tasks such as report creation, data analysis, and ... workflow improvements. Authority to stop production in the event due to poor quality, unsafe parts ...

FastTek Global

Data Coordinator #1063519

Toledo, OH · On-site

$60 - $80/hr

Bachelor's degree in Engineering, Manufacturing, Business, Operations Management, Data Analytics ... or a related field * Strong analytical, organizational, and problem-solving skills with a high ...

New

Wurtec Inc.

Electrical Engineer

Toledo, OH · On-site

Electrical Engineering Manager Supervises: None Who We Are: Wurtec is a global organization that ... Strong computer skills, data entry, and Microsoft Office. * Familiarity with ERP systems. * 5+ ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Monroe, MI

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 Sep 7, 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.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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

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

Data Engineer Manager jobs near you
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, ML Engineer - Auto Tagging

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.
What You'll Do:
  • Scenario Mining at Scale: Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.
  • Advanced Event Tagging: Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios.
  • Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity.
  • Data Flywheel Integration: Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.
  • Cross-Functional Alignment: Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop.
  • Mentorship & Team Growth: Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.

What You'll Need to Succeed:
  • BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation.
  • Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.
  • ML & Dataset Curation: Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.
  • Data Exploration: Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.
  • Cloud & Compute: Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.
  • AV Standards: Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.
  • Communication: Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.
  • Technical Leadership: Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.

Bonus Points!
  • Auto-labeling & VLMs: Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.
  • Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference
  • Semantic Inference: Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection.
  • Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow).
  • Downstream Integration: Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.
  • Advanced Retrieval: Experience building semantic retrieval systems or vector databases for automotive data.

Perks of Being a Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102717
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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