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Senior Data Engineer Jobs in Rochester Hills, MI

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering ...

Stellantis

Senior Data Engineer

Auburn Hills, MI

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering ...

Rocket

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll design, develop, and maintain data platforms, mentor team members, and ensure data quality while driving best practices across the data engineering lifecycle.

Rocket Limited Partnership

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

Rock Connections

Senior Data Engineer

Detroit, MI

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$108K - $147K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Senior Data Engineer with 7+ years in data engineering and 10+ years in software with AI ML Experience Preferred: * As a Senior Data Engineer, you will architect and scale end-to-end data pipelines ...

Ford Motor Company

Senior Data Engineer

Dearborn, MI · On-site

$128K - $184K/yr

Senior Data Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn ...

Ford Motor Company

Senior Data Engineer

Dearborn, MI

$128K - $184K/yr

Senior Data Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Senior Engineer Exp: 10+ years Data Engineering work experience Experience Preferred: * As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex ...

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

Senior Data Engineer, CRM

Detroit, MI

$104K - $142K/yr

As a Senior Data Engineer, you will be a key individual contributor responsible for building, maintaining, and governing the data architecture that powers Ford Pro's commercial ecosystem. You will ...

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Senior Data Engineer information

See Rochester Hills, MI salary details

$74.6K

$116.3K

$161.1K

How much do senior data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for senior data engineer in Rochester Hills, MI is $116,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $132,500.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Rochester Hills, MI? The most popular types of Data Engineer jobs in Rochester Hills, MI are:
What are popular job titles related to Senior Data Engineer jobs in Rochester Hills, MI? For Senior Data Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Rochester Hills, MI look for? The top searched job categories for Senior Data Engineer jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Senior Data Engineer jobs? Cities near Rochester Hills, MI with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Rochester Hills, MI as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,279 per year, or $55.9 per hour.

Senior Data Engineer

Stellantis

Auburn Hills, MI • On-site

$100K - $136K/yr

Full-time

Posted 17 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

About the Role
Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality routines and traceability, and pioneer more robust data-engineering practices that make solutions easier to trust, operate and industrialize.
Your Missions:
Data Modelling, Pipelines & Reuse:
  • Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases
  • Promote maintainable structures, reusable components and clear lineage across transformations where relevant
  • Support delivery teams with practical data-engineering discipline rather than one-off technical builds

Platform, Integration & Traceability:
  • Clarify selected source-to-platform pathways, integration dependencies and technical constraints affecting delivery
  • Help maintain visibility on traceability, handoffs and access conditions across Supply Chain
  • Work with ICT and engineering stakeholders to keep the build path practical and scalable

Data Quality, Certification & Governance Support:
  • Contribute to selected quality checks, certification routines, governance expectations or compliance-related traceability needs depending on the scope assigned
  • Help surface structural data issues, documentation gaps or control weaknesses that affect deployment readiness
  • Support a trusted delivery environment by making data assets more visible, understandable and supportable

Your Profile:
  • Strong data-engineering experience in modern enterprise environments, with depth in some combination of data modelling, pipelines, integration, quality, lineage or governance-related topics
  • Able to operate across business needs, technical constraints and delivery realities
  • Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
  • Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
  • Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope

Skills You'll Grow:
  • Broader exposure across the different building blocks that make AI-ready data operational at scale
  • Experience working at the intersection of data engineering, integration, quality and delivery governance
  • Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda

Why Join / Impact:
  • Work on data-engineering challenges directly tied to real AI deployment in Supply Chain
  • Join a role broad enough to offer variety, while still allowing focused ownership on a defined perimeter
  • Help strengthen the data foundations that make scalable AI delivery possible

Basic Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field
  • 8 years of experience in data engineering or data platforms
  • Previous Supply Chain experience
  • Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
  • Experience with data pipelines, integration, semantic, lineage, architecture and platform environments
  • Enterprise-scale data transformation and delivery experience
  • Ability to collaborate effectively with analytics, AI, and software engineering teams

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