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Data Engineer Jobs in Novi, MI (NOW HIRING)

Data Engineer

Warren, MI ยท On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Data Engineer

Warren, MI ยท On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Data Engineer #1054720 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month contract. Additional Information: Resources will be in office 4 days a week. Teams Video interview 1 hour ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Data Engineer #1059594 * As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and collaborate with developers, architects, product managers, and feature teams to ...

Data Engineer

Detroit, MI

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer III

Dearborn, MI ยท On-site

$105K - $126K/yr

Job Title Data Engineer III Overview / Summary We are seeking a Data Engineer III responsible for designing, building, and maintaining data solutions, including data infrastructure and pipelines, to ...

New

Data Engineer III

Dearborn, MI ยท On-site

$105K - $126K/yr

Job Title Data Engineer III Overview / Summary We are seeking a Data Engineer III responsible for designing, building, and maintaining data solutions, including data infrastructure and pipelines, to ...

New

ICT Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business ...

Data Engineer 3

Dearborn, MI ยท On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor Company is seeking a Senior Technical Engineer to serve as a subject matter expert for the ATLAS ...

Data Engineer

Ann Arbor, MI ยท On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Rochester Hills, MI ยท On-site

$105K - $126K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Sterling Heights, MI ยท On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Plymouth, MI ยท On-site

$120K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

GCP Data Engineer (W2 Position)

Dearborn, MI ยท On-site

$105K - $126K/yr

We have a job opportunity of a Role GCP Data Engineer with given on W2 .Please forward related profiles to praveen@megansoft.com or +1(248) 266-0910. Position Title: GCP Data Engineer (W2 Position ...

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data ...

Data Engineer

Dearborn, MI ยท On-site

$140K - $184K/yr

Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence ...

Design and build production data engineering solutions to deliver reusable patterns using Google Cloud Platform (GCP) services: Big Query, Dataflow, DataForm, Astronomer, Data Fusion, DataProc, Cloud ...

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Showing results 1-20

Data Engineer information

See Novi, MI salary details

$41.8K

$121.7K

$166.5K

How much do data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer in Novi, MI is $121,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Novi, MI? The most popular types of Data Engineer jobs in Novi, MI are:
What are popular job titles related to Data Engineer jobs in Novi, MI? For Data Engineer jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Novi, MI look for? The top searched job categories for Data Engineer jobs in Novi, MI are:
What cities near Novi, MI are hiring for Data Engineer jobs? Cities near Novi, MI with the most Data Engineer job openings:

Data Engineer

Bright Mind Solutions LLC

Warren, MI โ€ข On-site

$45 - $50/hr

Contractor

Re-posted 8 days ago


Job description

5 Days onsite role in Warren, MI
ย 
Only W2 no C2Cย 
ย 

50/hr on w2 max

Specific Responsibilities of this Position:

As a Data Engineer, you will build industrialized data assets and data pipelines in support of Business Intelligence and Advance Analytic objectives. The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI developers, System Architects, and Data Architects to deliver value to our vision for the future. Our team focuses on writing maintainable tests and code that meet the customerโ€™s need and scale without rework. Our engineers and architects work in highly collaborative environments across many disciplines (user experience, database, streaming technology, custom rules engines, and ai/ml and most web technologies). We work on innovative technologies โ€“ understanding and inventing modern designs and integration patterns along the way. Our Data Engineers must โ€“
โ€ข You will assemble large, complex data sets that meet functional / non-functional business requirements.
โ€ข You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
โ€ข Lead and deliver exceptional data driven solutions across many different languages, tools, and technology.
โ€ข Develop a culture which takes challenging and complex ideas and turns them into production solutions.
โ€ข Have a broad, enterprise-wide view of business and varying degrees of appreciating for strategy, process, capabilities, enablers, and governance.
โ€ข Be able to critically apply themselves to solving problems in an interconnected and integrated environment.
โ€ข Think strategically about adopting innovative technologies that are beyond the horizon and deliver on sound solution design.
โ€ข Create high-level models that can be leveraged in future analysis to extend and mature the business architecture.
โ€ข Working towards continuously raising our standards of engineering excellence in quality, efficiency, and developing repeatable designs.
โ€ข Performing hands-on development, leading code reviews and testing, creating automation tools, and creating proofs of concepts
โ€ข Ability to work along with operations team during any production issues related to platform.
โ€ข Best practices like agile methodologies, design thinking and continuous deployment that will allow you to innovate fast.
โ€ข Deliver solutions across Big Data applications to support business strategies and deliver business value.
โ€ข Build tool / automation to make deployment and monitoring production environment more repeatable.
โ€ข Build strong relationships with Business & Technology Partners and provide leadership, direction, best practices, and coaching to technology development teams.
โ€ข Owning all Technical aspects of development and for assigned applications.
โ€ข Driving continuous improvement in applications, through use of consistent development practices and tools, and through ongoing design and code refactoring
โ€ข Collaborating with stakeholders through ongoing product and platform releases, to solve existing needs, identify exciting opportunities, and predict future challenges.
โ€ข Working closely with product managers and architects to prioritize and manage features, technical requirements, known defects, and issues.
โ€ข Managing and appropriately escalating delivery impediments, risks, issues, and changes tied to the product development initiatives.
โ€ข Data Integration โ€“ Design and develop new source system integrations from a variety of formats including files, database extracts and APIs.
โ€ข Data Pipelines โ€“ Design and develop highly scalable Data Pipelines that incorporate complex transformations and efficient code.
โ€ข Data Delivery โ€“ Design and develop solutions for delivering data that meets SLAs

Job Description:

Summary:
The main function of a Software Engineer is to design, develop, implement, test, and maintain business and computer applications software or specialized utility programs including mainframe and client/server applications, and major enhancement of existing systems
Job Responsibilities:
โ€ข Fine-tune and improve a variety of sophisticated software implementation projects
โ€ข Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs and data
โ€ข Analyze and review enhancement requests and specifications
โ€ข Implement system software and customize to client requirements
โ€ข Prepare the detailed software specifications and test plans
โ€ข Code new programs to clientโ€™s specifications and create test data for testing
โ€ข Modify existing programs to new standards and conduct unit testing of developed programs
โ€ข Create migration packages for system testing, user testing, and implementation
โ€ข Provide quality assurance reviews
โ€ข Perform post-implementation validation of software and resolve any bugs found during testing
Qualifications:
โ€ข Bachelor's degree in a technical field such as computer science, computer engineering or related field required
โ€ข 5-7 years experience required
โ€ข A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
โ€ข large systems software design and development experience
โ€ข Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems
โ€ข experience in programming and experience with problem diagnosis and resolution

Additional Skills (Indicate if preferred or required):

Expert in multiple tools and technologies including Azure and Databricks
Scala, Spark, Python, SQL, .NET, REST API, Angular
SQL Server, PostgreSQL, SQL Server Integration Services (SSIS), Complex ETL with massive data, PowerB

If you are interested or have any references please share resume at mukul@brightmindsol.com.