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Data Engineer Data Analyst Jobs in Michigan (NOW HIRING)

Data Engineer

Warren, MI ยท On-site

$45 - $50/hr

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 ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

... modern analytics, automation and AI-enabled solutions. This role will lead cross-functional ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * Engineer 3 Exp: 7+ years Data Engineering work experience Experience Preferred: Our preferred ...

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering activities. * Monitor data platform performance and identify opportunities for optimization and improvement.

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering activities. Monitor data platform performance and identify opportunities for optimization and improvement.

Data Engineer

Warren, MI ยท On-site

$45 - $50/hr

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 ...

Data Engineer

Whitehall, MI ยท On-site

$108K - $130K/yr

Bachelor's degree in engineering, Data Analysis, Data Science, Computer Science, or Information Systems * Must have experience in basic SQL querying skills * Demonstrated ability to transform data ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience ...

Data Engineer

Dearborn, MI

$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 ...

Data Engineer

Dearborn, MI

$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 ...

Data Analyst

Warren, MI ยท On-site

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

Data Analyst

Grand Rapids, MI ยท On-site

$65K - $80K/yr

Experience with SQL, Python,Ror other programming tools. * Experience with project management ... Project manage key data analytics initiatives by leading requirements gathering, coordinating ...

Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Participate in the software testing process through test review, analysis, test witnessing, and software certification. * Develop and maintain Azure-based data engineering solutions. * Work with ...

Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Participate in the software testing process through test review, analysis, test witnessing, and software certification. Develop and maintain Azure-based data engineering solutions. Work with Azure ...

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. * Participates in creating data pipelines and ETL workflows to ...

Data Engineer - Senior Manager

Detroit, MI ยท On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

... and analytics. * Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build ... Experience: Proven experience in a data engineering or similar role, with specific experience ...

Data Engineer

Dearborn, MI ยท 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 ...

Showing results 41-60

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Michigan? For Data Engineer Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Michigan look for? The top searched job categories for Data Engineer Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Data Engineer Data Analyst jobs? Cities in Michigan with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 80% In-person, 8% Hybrid, and 12% Remote job distribution.

Data Engineer

Bright Mind Solutions LLC

Warren, MI โ€ข On-site

$45 - $50/hr

Contractor

Re-posted 4 days ago


Job description

USC GC Only

 

Virtual Interview

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 customer’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 – understanding and inventing modern designs and integration patterns along the way. Our Data Engineers must –
• You will assemble large, complex data sets that meet functional / non-functional business requirements.
• You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Lead and deliver exceptional data driven solutions across many different languages, tools, and technology.
• Develop a culture which takes challenging and complex ideas and turns them into production solutions.
• Have a broad, enterprise-wide view of business and varying degrees of appreciating for strategy, process, capabilities, enablers, and governance.
• Be able to critically apply themselves to solving problems in an interconnected and integrated environment.
• Think strategically about adopting innovative technologies that are beyond the horizon and deliver on sound solution design.
• Create high-level models that can be leveraged in future analysis to extend and mature the business architecture.
• Working towards continuously raising our standards of engineering excellence in quality, efficiency, and developing repeatable designs.
• Performing hands-on development, leading code reviews and testing, creating automation tools, and creating proofs of concepts
• Ability to work along with operations team during any production issues related to platform.
• Best practices like agile methodologies, design thinking and continuous deployment that will allow you to innovate fast.
• Deliver solutions across Big Data applications to support business strategies and deliver business value.
• Build tool / automation to make deployment and monitoring production environment more repeatable.
• Build strong relationships with Business & Technology Partners and provide leadership, direction, best practices, and coaching to technology development teams.
• Owning all Technical aspects of development and for assigned applications.
• Driving continuous improvement in applications, through use of consistent development practices and tools, and through ongoing design and code refactoring
• Collaborating with stakeholders through ongoing product and platform releases, to solve existing needs, identify exciting opportunities, and predict future challenges.
• Working closely with product managers and architects to prioritize and manage features, technical requirements, known defects, and issues.
• Managing and appropriately escalating delivery impediments, risks, issues, and changes tied to the product development initiatives.
• Data Integration – Design and develop new source system integrations from a variety of formats including files, database extracts and APIs.
• Data Pipelines – Design and develop highly scalable Data Pipelines that incorporate complex transformations and efficient code.
• Data Delivery – 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:
• Fine-tune and improve a variety of sophisticated software implementation projects
• Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs and data
• Analyze and review enhancement requests and specifications
• Implement system software and customize to client requirements
• Prepare the detailed software specifications and test plans
• Code new programs to client’s specifications and create test data for testing
• Modify existing programs to new standards and conduct unit testing of developed programs
• Create migration packages for system testing, user testing, and implementation
• Provide quality assurance reviews
• Perform post-implementation validation of software and resolve any bugs found during testing
Qualifications:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• 5-7 years experience required
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
• large systems software design and development experience
• Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems
• 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.