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Data Engineering Jobs in Rochester Hills, MI (NOW HIRING)

Stellantis

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, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Core DataOps & Engineering Skills: · Proven experience as a DataOps Engineer, Data Engineer, or similar role, with a strong focus on operationalizing data pipelines. · Expertise in designing ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Experience: * Minimum of 5 years of experience as a Data Engineer. * Proven experience in designing and ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices. Priorities can change in a ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... years Data Engineering work experience Education Required: Bachelor's Degree Education Preferred: Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Ford Motor Company

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a ...

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Showing results 41-60

All JobsData Engineering JobsData Engineering Jobs in Rochester Hills, MI

Data Engineering information

See Rochester Hills, MI salary details

$42.3K

$151.9K

$224.1K

How much do data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineering in Rochester Hills, MI is $151,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What cities near Rochester Hills, MI are hiring for Data Engineering jobs?

Cities near Rochester Hills, MI with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $151,891 per year, or $73 per hour.

Enterprise Data Architect

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 28 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

Enterprise Data Architect
Role Summary
The Enterprise Data Architect is the design authority for Masco's enterprise POS and adjacent commercial data assets. This role owns the enterprise data model, the governed master data foundations, and the attribution logic that connects Business Unit, HQ, and retailer data into one trusted, reusable enterprise view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data Engineering team executes against, and codifies those standards into documented, governed rules. This role is central to building a scalable, AI-ready enterprise data foundation.
What You'll Own
Enterprise Data Model & Master Data Foundations
  • Own the enterprise data architecture blueprint and standardized data model, expandable across POS use cases.

  • Own the governed master data foundations - Product, Retailer, Geographic, and Calendar.

  • 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 master data foundations.

Attribution & Harmonization
  • Define and maintain the BU to HQ to retailer attribution crosswalk as the enterprise standard.

  • Codify attribution logic into governed rules with clear ownership and change-approval processes.

  • Approve hierarchy changes, mapping exceptions, and material structural changes.

  • Actively curate product hierarchies and attribution mappings as ongoing operational activities, with the Business Data Analyst supporting attribution stewardship, use case validation, and downstream impact analysis.

Data Quality, Standards & Technical Governance
  • Set harmonization, modeling, and data-quality standards, including validation guidelines.

  • Enforce policies for data engineering, integration, security, and compliance.

  • Monitor day-to-day data quality, investigate root causes, and drive resolution with Data Engineering and business stakeholders, with the Business Data Analyst supporting quality validation and consumer follow-up.

  • Curate the enterprise data catalog, including definitions, lineage, and metadata, as an ongoing discipline.

Design Integrity for Requests, Enhancements & Delivered Work
  • Serve as the design-authority checkpoint on incoming requests and enhancements, confirming work fits the enterprise model and standards.

  • Approve architectural approaches before build begins.

  • Partner with the Data Engineering Leader on delivery reviews and on escalated issues that touch the model, masters, or attribution.

  • Provide design-integrity oversight of release management for engineering enhancements, requests, and projects, confirming released work aligns with the enterprise model and standards while the Data Engineering Leader owns the operational execution.

Technical Leadership & Investment Guidance
  • Provide technical direction on masters, attribution, ingestion patterns, and modeling standards.

  • Coach engineers on modeling discipline and enterprise design principles.

  • Contribute to strategic planning, talent, tooling, and vendor evaluations.

  • Contribute to budgeting and investment decisions for enterprise data platforms, services, and tools.

Documentation & Knowledge Management
  • Own the documented definition of the enterprise data model, masters, and attribution rules.

  • Establish documentation standards for models, attribution logic, and modeling decisions, in partnership with the Data Engineering Leader.

  • Maintain the enterprise knowledge base and catalog for definitions, lineage, and material changes.

  • Champion a "documented once, reused everywhere" culture across the team.

How You'll Partner
  • Data Engineering Leader and Data Engineers: Provide specs, standards, and design authority. Partner on delivery reviews and issue resolution.

  • BI Delivery Leader and BI Developers: Align on semantic layer and metric definitions built on the governed model.

  • Technical Product Owner and Business Data Analyst: Partner on intake to confirm work fits the enterprise model.

  • BU Analytics, HQ data stewards, and governance forums: Act as design authority in attribution and hierarchy governance.

  • HQ IT, Security, and Architecture: Align enterprise data architecture with broader technology strategy.

Required Qualifications
Education & Experience
  • Bachelor's degree or higher in a related field, or equivalent professional experience.

  • Substantial experience as an Enterprise Data Architect, Data Architect, or comparable role, including designing and governing enterprise data models across multiple business units or domains.

  • Proven track record establishing master data, attribution, and harmonization standards in a multi-source, multi-brand environment.

  • Experience leading and coaching technical data teams toward enterprise standards.

Skills & Competencies
  • Design-authority mindset. Sets direction, holds the line on standards, and coaches others on why those standards matter.

  • Strong strategic thinker who can move from ambiguity to a modeled, governed answer.

  • Excellent communicator who can translate architecture decisions for both technical and business audiences.

  • Detail-oriented and self-directed on complex, cross-functional problems.

  • Flexible. Balances enterprise standards with pragmatic delivery.

  • Collaborative across IT, Analytics, HQ, and Business Units.

  • Continuous learner who stays current on emerging data practices.

Technical Understanding
  • Strong understanding of enterprise data architecture and dimensional/semantic modeling (Kimball, Lakehouse patterns such as bronze/silver/gold).

  • Working knowledge of modern cloud data platforms (Databricks, Azure data stack) and how to lead teams delivering against them.

  • Familiarity with SQL, Python, ETL/ELT patterns, and BI semantic models sufficient to guide and evaluate engineering work.

  • Understanding of data quality, catalog, lineage, and metadata management practices.

  • Understanding of security, access, and compliance standards as they apply to enterprise data.

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

  • Prior experience designing master data, attribution logic, or product hierarchies across multiple retailers or channels.

  • Familiarity with modern DataOps, Agile, or Kanban practices.

  • Exposure to AI/ML-ready data architecture patterns (feature stores, governed semantic layers for AI/agentic consumption).

Company: Masco
Full time
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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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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