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Data Engineer Jobs in Detroit, MI (NOW HIRING)

Masco Corporation

Data Engineer

Livonia, MI · On-site

$107K - $128K/yr

Role Summary The Data Engineer designs, builds, and operates the ingestion, transformation, and Lakehouse solutions that power Masco's enterprise POS and adjacent commercial data. This role delivers ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

General Motors

Data Engineer

Warren, MI

$107K - $129K/yr

You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability ...

General Motors

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical ...

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

New

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1054989 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out Fardeen Ali at / We are seeking a Data Engineer to design, build, and maintain end-to-end data ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$106K - $128K/yr

The Data Engineer is a hands-on technical contributor who plays a foundational role in building the data infrastructure that powers Continental's analytics, reporting, and AI initiatives. This person ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Ford Motor Company

Data Engineer

Dearborn, MI

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1060557 Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

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All JobsData Engineer JobsData Engineer Jobs in Detroit, MI

Data Engineer information

See Detroit, MI salary details

$44K

$128.2K

$175.4K

How much do data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data engineer in Detroit, MI is $128,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $135,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
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What are popular job titles related to Data Engineer jobs in Detroit, MI? For Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Detroit, MI look for? The top searched job categories for Data Engineer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Engineer jobs? Cities near Detroit, MI with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Detroit, MI as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,175 per year, or $61.6 per hour.

Data Engineer

Masco Corporation

Livonia, MI • On-site

$107K - $128K/yr

Full-time

Posted 4 days ago

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Role Summary
The Data Engineer designs, builds, and operates the ingestion, transformation, and Lakehouse solutions that power Masco's enterprise POS and adjacent commercial data. This role delivers high-quality, reliable, and secure data pipelines against the standards and specifications set by the Enterprise Data Architect and the direction of the Data Engineering Leader. The engineer contributes across the full pipeline lifecycle - ingestion, data quality, transformation, and enrichment - including the pipeline-side execution of the enterprise attribution crosswalk. Depending on assignment, the Data Engineer may focus more heavily on ingestion or on quality and pipeline development, but the role covers all aspects.
What You'll Own
Ingestion & Pipeline Development
  • Design, build, and maintain automated ingestion pipelines and multi-source integration for retailer, HQ, and BU data on the Databricks and Azure data stack.

  • Develop RESTful APIs and API-based integrations for retailer and third-party data acquisition.

  • Deliver critical-path pipelines and validation for priority data feeds.

  • Integrate with orchestration tools and cloud or hybrid storage systems to enable end-to-end data workflows.

  • Contribute to Lakehouse solutions using ACID-compliant storage layers, schema enforcement, and versioning for reliable data management.

Data Quality, Validation & Monitoring
  • Run data-quality checks at the pipeline level - missing values, outliers, consistency, and cross-source reconciliation.

  • Implement monitoring, validation, and automated notifications within the data lifecycle to protect performance, quality, and availability.

  • Support pipeline monitoring, incident response, and continuous improvement in partnership with the Data Engineering Leader.

  • Maintain change control and testing processes for modifications to pipelines and data models.

Attribution & Master Data Support
  • Build the ingestion side of the attribution crosswalk and master data foundations against the Enterprise Data Architect's documented spec.

  • Support maintenance of hierarchy mappings and attribute relationships through pipeline work.

  • Surface data-quality issues, mapping exceptions, and structural gaps back to the Data Engineering Leader and Architect.

DevOps, Automation & Data Preparation
  • Implement CI/CD pipelines for data engineering workflows and automate testing, deployment, and monitoring of data solutions.

  • Develop, maintain, and secure tables, relationships, metrics, and calculations for analytical models supporting reporting and advanced analytics.

  • Contribute to research and recommendations on data management products, services, and standards.

Documentation & Knowledge Management
  • Document ingestion patterns, pipelines, validation rules, and metric definitions as part of the definition of done.

  • Contribute pipeline lineage and technical metadata to the enterprise catalog.

  • Follow the documentation standards established by the Data Engineering Leader and Enterprise Data Architect.

Required Qualifications
Education & Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related field; equivalent professional experience considered.

  • Substantial hands-on experience designing and building data engineering solutions on a major cloud platform, with emphasis on the Azure ecosystem.

  • Experience delivering production pipelines and supporting them in an operational setting.

Technical Skills
  • Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services).

  • Strong working knowledge of the medallion architecture (bronze / silver / gold) for structuring Lakehouse solutions.

  • Familiarity with Microsoft Fabric and how it fits alongside Databricks in a modern enterprise data platform.

  • Advanced SQL / T-SQL (queries, stored procedures, functions, indexes, partitions, DDL, DML) and strong ETL/ELT design and build experience.

  • Strong proficiency in Python (or Scala) for data engineering.

  • Experience with RESTful API development for data acquisition and ingestion from retailer and third-party sources.

  • Working knowledge of distributed processing (Apache Spark) and Lakehouse principles - ACID storage, schema enforcement, versioning.

  • Solid understanding of CI/CD, DevOps, and automation for data workflows.

  • Strong understanding of Kimball dimensional modeling, including snapshot/transactional fact tables and conforming dimensions.

  • Working knowledge of data constructs including keys, constraints, data types, normalization, referential integrity, and data quality analysis.

  • Understanding of data governance, security, and compliance as they apply to data engineering.

Skills & Competencies
  • Detail-oriented and thorough. Considers all aspects of a data problem, including how the small pieces relate to the larger picture.

  • Highly self-motivated and self-directed. Operates with minimal oversight on complex, hands-on data work.

  • Delivery-focused. Owns commitments and follows through.

  • Willingness to explore and understand new and modern data tools to add value to the enterprise POS and POS-related engineering space.

  • Collaborative with the Data Engineering Leader, Enterprise Data Architect, and BI Developers on shared pipelines, models, and metric definitions.

  • Continuous learner who stays current on modern data engineering practices and tools.

  • Strong communicator who can explain technical detail clearly to both engineering and analytics peers.

Preferred Qualifications
  • Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.

  • Experience with Databricks Unity Catalog, data lineage, and observability tools.

  • Familiarity with ML/AI integration (MLflow, Azure ML) and DataOps/MLOps practices.

  • Experience with Microsoft Tabular models and the DAX language.

  • Experience with at least one data analysis tool such as Power BI, Tableau, etc.

Company: Masco
Full time
Hiring Range: $76,400.00 - $120,010.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

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Hours and flexibility

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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