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Senior Data Engineer Jobs in Rochester Hills, MI

Senior Data Engineer, CRM

Detroit, MI

$104K - $142K/yr

  • Medical

  • Dental

  • Life

  • PTO

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 ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Senior Data Scientist role resides within the Ford's Electric Vehicle organization. In this ... Acquire a deep understanding of vehicle engineering problems, translating them into appropriate ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Senior Data Scientist role resides within the Ford's Electric Vehicle organization. In this ... Data engineering, data product development and software product launches * At least three of the ...

Managed Services - Senior Data Engineer - Manager

Detroit, MI · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager & Summary The Opportunity As a Managed Services - Senior Data Engineer - Manager, you will leverage data and ...

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... You will collaborate with Data Engineers and Software Engineers to develop robust analytics ...

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Senior Data Architect

Detroit, MI · On-site

$66.50 - $89/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Provide technical leadership and mentorship to database administrators, database developers, and ...

Senior Data Architect

Detroit, MI · On-site

$61.50 - $82.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Provide technical leadership and mentorship to database administrators, database developers, and ...

Showing results 21-40

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 Aug 20, 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 is a senior data engineer?

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 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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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:

Infographic showing various Senior Data Engineer job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,279 per year, or $55.9 per hour.

$104K - $142K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 25 days ago


Job description

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 translate architectural blueprints into scalable data solutions while serving as the primary steward of our data integrity. This role requires a hands-on engineer who excels at data modeling, ETL/ELT development, and the proactive management of data flows between Salesforce, MuleSoft, and our cloud environments.

You'll have...

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
  • 5+ years of experience in data engineering, with a focus on enterprise-scale CRM or cloud platforms.
  • 5+ years of proven expertise in Data Modeling and maintaining complex Entity Relationship Diagrams (ERDs).
  • 3+ years strong proficiency in SQL (GCP/BigQuery) and at least one programming language (Python, Java, or Apex).
  • 3+ years experience with data visualization and observability.
  • Hands-on experience with Salesforce data structures (Objects, SOQL, SOSL) and Salesforce Data Cloud.
  • Experience building and monitoring RESTful API integrations and web services.
  • Experience with CI/CD pipelines and version control systems (GitHub, Copado, or similar).

Even better, you may have...

  • Experience with MuleSoft Anypoint Platform for data orchestration and API management.
  • Salesforce certifications (e.g., Salesforce Data Cloud Consultant, Platform Developer I).
  • Google Cloud Professional Data Engineer certification.
  • Experience navigating data governance and compliance within a large, global enterprise.
  • Strong analytical skills with the ability to translate complex business requirements into technical data specifications.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
 
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is on-site in Dearborn, MI, you will be required to be in office 4x week.
 
*Visa Sponsorship is NOT provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-OnSite
#LI-DS2 

Data Modeling & Ecosystem Stewardship

  • Manage the Data Model: Act as the primary maintainer of the Data Model Entity Relationship Diagram (ERD), ensuring it accurately reflects the evolving state of Salesforce and integrated systems.
  • Field Governance: Review and validate new data field requests to ensure alignment with existing structures, preventing redundancy and maintaining schema health.
  • Data Flow Mapping: Track and document end-to-end data flows across the ecosystem (Salesforce, MuleSoft, GCP) to provide a clear "source of truth" for data lineage.
  • Data Definitions: Ensure a deep understanding of data assets by creating and maintaining comprehensive data dictionaries and metadata documentation.
  • Alignment: Partner with the Principal Architect to ensure all data elements comply with Ford Pro's Common Engineering Policies (CEP) and global data standards.

Data Pipeline & Integration Engineering

  • Build & Optimize: Design and maintain robust data pipelines to integrate Salesforce CRM with internal and external systems using MuleSoft and GCP.
  • Automated Integration: Implement automated ETL/ELT processes to support Salesforce Data Cloud and other analytics platforms.
  • Performance: Write and optimize complex SQL/SOQL queries and scripts to support high-volume data transformation and validation.

DevOps, Quality & Technical Excellence

  • CI/CD Management: Work with the DevSecOps team to oversee the end-to-end release lifecycle for data products using DevOps tools like Copado and GitHub.
  • Validation & Testing: Conduct rigorous performance and load testing on data workflows to ensure high availability and scalability for fleet operations.
  • Security & Compliance: Implement data masking, encryption, and security protocols in alignment with Ford's global security and privacy standards.
  • Community Leadership: Contribute to the Salesforce Community of Practice (CoP) by sharing reusable engineering patterns and advocating for "clicks-not-code" data solutions where appropriate.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982