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Data Engineering Jobs in Rochester Hills, MI (NOW HIRING)

Data Engineering Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineering Engineer 3 #1062388 Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure ...

Data Engineering Manager

Warren, MI

$107K - $129K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing ...

The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for accurate, timely analytics delivery. What You'll Own ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Manager, Data Engineering

Detroit, MI · On-site

$160 - $190/hr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration Overall Experience: 8+ years of relevant experience JOB REQUIREMENTS - The Senior Data Engineer & Technical Lead (SDET Lead ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

... engineering, data architecture, and enterprise data platforms. Key Skills * AWS - S3, Glue, Lambda, EMR, Redshift * Snowflake - Data Warehousing, Data Modeling, Performance Optimization * Python ...

New

Snowflake Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Roles and Responsibilities Technical Leadership and Data Engineering Lead end-to-end data warehousing projects using Snowflake, DataStage, and dbt , which are mandatory skills for this role. Design ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation. * Develop and maintain scalable data ingestion and ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering & Pipeline Development: * Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives * Develop and optimize ETL ...

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Data Engineering information

See Rochester Hills, MI salary details

$42.3K

$151.9K

$224.1K

How much do data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineering in Rochester Hills, MI is $151,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What cities near Rochester Hills, MI are hiring for Data Engineering jobs?

Cities near Rochester Hills, MI with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $151,891 per year, or $73 per hour.

Data Engineering Engineer

FastTek

Dearborn, MI • On-site

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis

  • Collaborate with stakeholders to understand data requirements and develop data pipelines, models, and applications for data workflow

  • Implement and manage data platforms such as data warehouses and data lakes, and optimize data pipelines for performance and scalability


Job description

Data Engineering Engineer 3 #1062388
Position Description:
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately
 
Key Responsibilities:
  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities
 
Skills Required:
  • GCP Cloud Run, KAFKA, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, Big Query, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API
 
Experience Required:
  • Engineer 3 Exp: 7+ years Data Engineering work experience
 
Education Required:
  • Bachelor's Degree
 
Additional Information:
  • Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources.
  • Ensure data is standardized, high-quality, and optimized for analytical use.
  • Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines.
  • Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
  • Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations.
  • Implement and manage robust data governance policies, access controls, and security best practices to protect sensitive data.
  • Employ efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).
  • Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
  • Collaborate effectively with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.
  • Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
  • Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities.
  • Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.
 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match
 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.