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

Deloitte

Senior Forward Deployed Engineer- AWS

Detroit, MI · On-site

$103K - $142K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Next Step Systems

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

Senior Data Modeler, Technical Lead, and Data Architect. - Participate and provide technical ... Developers and Technical Project Managers. - Learn new things, and grow rapidly from constant ...

Premier Truck Rental

Senior Analytics Engineer

Detroit, MI · On-site

$103K - $142K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... demonstrated senior-level ownership of a transformation layer. * Advanced, production-level ...

Stefanini, Inc

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

Job Details SoftwareEngineer Sr Software Engineer Southfield,MI Posted:8/5/2026 Job ID#: 64553 Job ... Plan, design, build, and maintain scalable data solutions including data pipelines, data models ...

Deloitte

Lead Forward Deployed Engineer - AWS

Detroit, MI · On-site

$101K - $133K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

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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 Sep 12, 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 are popular job titles related to Senior Data Engineer jobs in Rochester, MI?

For Senior Data Engineer jobs in Rochester, MI, the most frequently searched job titles 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, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $116,279 per year, or $55.9 per hour.

Data Scientist, HC Analytics

Detroit, MI • On-site

Henry Ford Health System
51 - 200 employees
Learn more about Henry Ford Health Systemexternal

Full-time

Posted 29 days ago

Job description

GENERAL SUMMARY: 

The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine-learning techniques. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. Should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. MS degree is preferred. 
  • Three plus (3+) years of professional work experience. 
  • Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. 
  • Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. 
  • Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc. 
  • Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. 
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
  •  Strong communication and presentation skills. Effective communication and storytelling skills. 
  • Energy and enthusiasm. Passion for learning and contributing to development. A true team player. Collaborative mindset for effective communication across teams.

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