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

Thecsp

BI Data Engineer

Auburn Hills, MI

$108K - $130K/yr

What You'll Do Learn the Data Environment * Assist senior team members in building and maintaining ... Work with the team to maintain semantic models and datasets used by Power BI report developers.

Pwc

Data Strategy-Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ...

Old National Bank

Data Protection Engineer, Sr.

Troy, MI

$77K - $153K/yr

Data Protection Engineer, Sr. Job Locations US-IL-Chicago | US-IN-Evansville | US-MN-Lake Elmo | US-IN-Indianapolis | US-KY-Louisville | US-WI-Milwaukee | US-WI-Madison | US-MI-Troy | US-TN-Nashville ...

Deloitte

AI Engineer Senior Consultant

Detroit, MI · Hybrid

$103K - $142K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ...

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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 Jun 5, 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 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 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 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 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

BI Data Engineer

Thecsp

Auburn Hills, MI

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

CSP is the industry leader in the formulation and molding of lightweight, advanced composite components for the transportation industries. As an innovative, full-service Tier One supplier, we offer an entrepreneurial environment where you're only limited by your own imagination. In addition to our team-focused environment, we provide industry-leading benefits, called BENEfits4U. Our comprehensive offering includes: affordable medical, dental, and vision care; flexible spending accounts; life insurance; 401k with company match and much, much more.

Job Description

What You'll Do

Learn the Data Environment

  • Assist senior team members in building and maintaining tables, schemas, and data models inside Microsoft Fabric to support Power BI dashboards.
  • Help translate business requirements (provided by the BI Business Analyst) into clean, well-organized data structures, with guidance from senior engineers.
  • Write SQL queries and basic Python scripts to transform and clean data, learning best practices along the way.
  • Document tables, transformations, and pipelines clearly so the team can rely on your work.

Support Pipeline Development

  • Contribute to data pipelines that bring information from source systems (such as ERP and other business platforms) into our Fabric environment.
  • Help schedule and monitor pipelines, learning how to identify and troubleshoot common failures.
  • Suggest small improvements to reduce manual work and improve data quality.

Build Reporting Skills

  • Work with the team to maintain semantic models and datasets used by Power BI report developers.
  • Practice writing DAX measures and calculated columns under the guidance of senior team members.
  • Learn data modeling fundamentals such as star schema design and the medallion architecture (Bronze / Silver / Gold layers).

Collaborate and Grow

  • Participate in sprint planning, code reviews, and design discussions - your questions are welcome.
  • Communicate progress, blockers, and questions clearly to teammates and stakeholders.
  • Take advantage of training, certifications, and mentorship to expand your skills over time.
Skills We're Looking For

We do not expect candidates to be experts in every area. Foundational knowledge - from coursework, bootcamps, internships, or personal projects - is enough for required skills. Preferred skills are nice-to-haves and can be learned on the job.

Skill / Technology

Expected Level

Classification

SQL

Foundational

Required

Python

Foundational

Required

Power BI & DAX

Beginner / Exposure

Required

Microsoft Fabric

Willingness to learn

Required

Data Modeling Concepts

Beginner / Coursework

Required

PySpark

Exposure

Preferred

Git / Version Control

Familiarity

Preferred

ERP Systems

Awareness

Preferred

Qualifications

Required

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field - OR equivalent practical experience (bootcamp, internships, certifications, or hands-on projects).
  • 0-2 years of professional experience. Internships, capstone projects, and significant personal projects count.
  • Foundational SQL skills - comfortable writing SELECT, JOIN, GROUP BY, and basic aggregate queries.
  • Basic Python skills for working with data (e.g., pandas, simple scripts, notebooks).
  • Some exposure to Power BI or another visualization tool, even if only through coursework or self-study.
  • Understanding of basic data concepts such as tables, relationships, and joins.
  • Strong written and verbal communication skills, and a willingness to ask questions.
  • Eagerness to learn Microsoft Fabric, DAX, and modern data engineering practices on the job.

Preferred (Nice to Have)

  • Coursework, certifications, or hands-on practice with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Azure Data Lake.
  • Familiarity with PySpark or distributed data processing concepts.
  • Awareness of ERP systems and how business data is typically structured.
  • Experience using Git for version control.
  • Microsoft certifications such as DP-900 (Azure Data Fundamentals), PL-300 (Power BI Data Analyst), or DP-600 (Fabric Analytics Engineer).
  • Personal projects, GitHub portfolio, Kaggle work, or contributions to open-source data projects.

If you enjoy innovation, and an opportunity to learn and contribute to a growing organization, CSP is the place for you!

Apply