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Data Engineering Jobs in Novi, MI (NOW HIRING)

Stellantis

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 ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

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 ...

Spruce Infotech

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

... engineering workloads aligned to DNA (Data & Analytics) programs Collaborate with offshore teams, as applicable, to ensure end-to-end delivery Required Technical Skills Databricks - strong hands-on ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills RequiredGoogle Cloud ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Data engineering, data product development and software product launches * At least three of the following languages: Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality ...

HTC Global Services, Inc.

Data Engineer III

Dearborn, MI · On-site

$110 - $140/hr

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 ...

General Motors

Staff Data Engineer

Warren, MI · On-site

$107K - $129K/yr

The role is anchored in data engineering and includes an additional data science profile to strengthen AI data enablement, experimentation support, and close collaboration with data scientists and ...

New

General Motors

Staff Data Engineer

Warren, MI · Hybrid

$107K - $129K/yr

The role is anchored in data engineering and includes an additional data science profile to strengthen AI data enablement, experimentation support, and close collaboration with data scientists and ...

New

Stellantis

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 ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Strong proficiency in Python for data engineering and automation. * Experience with RDBMS technologies such as DB2 and Teradata . * Exposure to Big Data ecosystems and distributed data processing.

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

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 ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Uphold rigorous software engineering standards, including comprehensive unit/integration testing ... Advanced knowledge of SQL for data transformation, analysis, and performance tuning. • DevOps & ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality ...

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Showing results 21-40

All JobsData Engineering JobsData Engineering Jobs in Novi, MI

Data Engineering information

See Novi, MI salary details

$43.2K

$154.8K

$228.5K

How much do data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineering in Novi, MI is $154,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,500.00 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 are the most commonly searched types of Data Engineering jobs in Novi, MI?

The most popular types of Data Engineering jobs in Novi, MI are:

What are popular job titles related to Data Engineering jobs in Novi, MI?

For Data Engineering jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Novi, MI look for?

The top searched job categories for Data Engineering jobs in Novi, MI are:

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

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

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Novi, MI as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $154,819 per year, or $74.4 per hour.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 6 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

Role intent:
A hands-on individual contributor role focused on building and maintaining reliable data pipelines, curated datasets, and governed analytics-ready data products.
Position Summary:
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 will work closely with data scientists, analysts, and business stakeholders to develop scalable data pipelines, support analytics initiatives, and ensure the availability of high-quality data across the organization.
The ideal candidate is a hands-on data engineering professional with strong technical skills, a passion for data quality, and experience developing data solutions in a modern cloud environment.
Key Responsibilities:
Data Engineering & Pipeline Development:
  • Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives
  • Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple sources
  • Support data integration efforts across customer, marketing, digital, and enterprise data domains
  • Implement data quality checks, validation processes, and monitoring solutions to ensure trusted data products
  • Troubleshoot and resolve data pipeline and data quality issues in production environments

Data Modeling & Analytics Enablement:
  • Build and maintain scalable data models that support analytics and reporting requirements
  • Develop curated datasets that enable consistent business metrics and KPI reporting
  • Collaborate with analysts and data scientists to support advanced analytics, audience development, customer insights, and performance measurement
  • Assist in implementing data structures that improve usability, consistency, and reusability across teams

Collaboration & Delivery:
  • Partner with business stakeholders to understand requirements and translate them into technical solutions
  • Work closely with cross-functional teams to deliver reliable and scalable data products
  • Participate in code reviews, testing, deployment activities, and continuous improvement initiatives
  • Contribute to documentation, knowledge sharing, and engineering best practices

Data Governance & Reliability:
  • Follow established standards for data governance, security, privacy, and compliance
  • Monitor pipeline performance and recommend opportunities for optimization
  • Support efforts to improve data quality, reliability, and operational efficiency
  • Maintain documentation for data pipelines, data models, and technical processes

Basic Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field
  • 8 years of experience in data engineering
  • Strong SQL development skills
  • Experience developing and supporting ETL/ELT pipelines
  • Experience working with cloud-based data platforms and modern data architectures (e.g., Azure, Snowflake, BigQuery, AWS)
  • Proficiency in Python, Spark, or similar data processing technologies
  • Experience working with structured and semi-structured data
  • Understanding of data modeling concepts, including dimensional modeling and data warehousing principles
  • Strong analytical and problem-solving skills
  • Ability to collaborate effectively with both technical and business stakeholders

Preferred Qualifications:
  • Experience supporting marketing, customer, digital, or analytics use cases
  • Experience with orchestration and workflow automation tools
  • Familiarity with customer data platforms, customer analytics, or audience management solutions
  • Experience with machine learning data preparation and feature engineering
  • Understanding of data governance and data quality best practices

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