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

Pwc

AI & GenAI Data Scientist-Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

As a Senior Associate, you will focus on building meaningful client connections and learning how to ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Accenture

Azure Data Architect

Detroit, MI · On-site

$66.05 - $76.05/hr

The Role: * The Senior Data Architect is responsible for designing, governing, and evolving ... Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment.

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 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Detroit, MI

$103K - $142K/yr

Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or ... At Deloitte, Senior Forward Deployed Engineers (SFDE) don't just build AI solutions, they help ...

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Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Rochester, MI

Sr Data Engineer information

See Rochester, MI salary details

$74.6K

$116.3K

$161.1K

How much do sr data engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for sr 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 the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What job categories do people searching Sr Data Engineer jobs in Rochester, MI look for? The top searched job categories for Sr Data Engineer jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Sr Data Engineer jobs? Cities near Rochester, MI with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Rochester, MI as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $116,279 per year, or $55.9 per hour.
Data Science Analyst / Data Scientist

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI • On-site

Contractor

Posted 3 days ago

Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.