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Senior Data Engineer Jobs in Rochester, MI (NOW HIRING)

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 ...

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The ... data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

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 ...

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 ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning. This role ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning. This role ...

Dtna

Senior Data and AI Specialist

Detroit, MI · On-site

$117K - $150K/yr

The position combines expertise in data engineering, business intelligence, AI/ML architecture, analytics delivery, and technical project leadership. The Senior Data and AI Specialist acts as a ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Rochester, MI

Senior Data Engineer information

See Rochester, MI salary details

$74.6K

$116.3K

$161.1K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Rochester, 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, MI?

The most popular types of Data Engineer jobs in Rochester, MI are:

What job categories do people searching Senior Data Engineer jobs in Rochester, MI look for?

The top searched job categories for Senior Data Engineer jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Senior Data Engineer jobs?

Cities near Rochester, 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, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% 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.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 21 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

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 massive datasets in both batch and real-time. 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 fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities: 

  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark. 
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing. 
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform. 
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment. 
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation. 
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications. 

Basic Qualifications: 

  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline  
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores. 
    • A minimum of 4 years of hands-on experience working with AWS cloud services  
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust 
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.) 
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more 
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.) 
  • Experience with designing and implementing real-time pipelines 
  • Experience with data quality and validation 
  • Experience with API design 
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming). 
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment. 
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.

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