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Data Engineer Project Jobs in Michigan (NOW HIRING)

Corning

$104K - $125K/yr

AWS experience is strongly preferred. - Experience leading technical projects or independently owning complex Data Engineering initiatives.- Strong communication and collaboration skills, with the ...

Ford Motor Company

Data Engineer

Dearborn, MI

$105K - $127K/yr

Project management tools like Atlassian JIRA. Even better if you have... * Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data. You will manage end-to-end ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data. You will manage end-to-end ...

Corning

$104K - $125K/yr

Leadership will be demonstrated through technical expertise, project ownership, mentoring, and ... and promote Data Engineering standards, development patterns, data-quality frameworks ...

Aecon Group Inc.

Engineer, Project

Port Huron, MI · On-site

Provide data analysis, reporting, and project insights to the General Manager to support informed ... Recent University or College graduate in Engineering or a related discipline. * Minimum of two (2) ...

3B Staffing LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Position Summary * Lead the design and development of scalable and high-performance ... Experience working on large agile projects. * Experience or Knowledge on creating CI/CD pipelines ...

Posted today

3B Staffing LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Position Summary * Lead the design and development of scalable and high-performance ... Experience working on large agile projects. * Experience or Knowledge on creating CI/CD pipelines ...

Posted today

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple concurrent projects, resolves production bugs under pressure, and translates complex business needs ...

PROLIM Global Corporation

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Contribute to modernization projects by enhancing functionality, integrating new solutions, and ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

MM International

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month ... Provide expert technical guidance and support throughout the project lifecycle, including ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Fine-tune and improve a variety of sophisticated software implementation projects * Gather and ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Fine-tune and improve a variety of sophisticated software implementation projects * Gather and ...

Howmet Aerospace

Data Engineer

Whitehall, MI

$108K - $130K/yr

Document projects in Power Point and reusable code, storing work in a revision-controlled system Basic Qualifications: * Bachelor's degree in engineering, Data Analysis, Data Science, Computer ...

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All JobsData Engineer Project JobsData Engineer Project Jobs in Michigan

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

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 strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
What are popular job titles related to Data Engineer Project jobs in Michigan? For Data Engineer Project jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Engineer Project jobs in Michigan look for? The top searched job categories for Data Engineer Project jobs in Michigan are:
What cities in Michigan are hiring for Data Engineer Project jobs? Cities in Michigan with the most Data Engineer Project job openings:
Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Engineer (Project Management) - Lansing, MI

Digital Technology Solutions

Lansing, MI • On-site

$116K - $139K/yr

Other

Posted 11 days ago

Job description

DTS is looking for Data Engineer (Project Management) for a direct client position in Lansing, MI

Top Skills & Years of Experience:

- Candidates MUST have strong project management reporting & portfolio analytics experience

- A minimum of three (3), and preferably four to seven (4–7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.

- Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.

- Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms.

- Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures.

Role description:Senior Data Engineer – Portfolio Reporting and Business IntelligencePosition Summary:

The successful candidate will serve as a technical and analytical resource within the Enterprise Portfolio Management Office (EPMO), supporting the Investment Management and Project and Portfolio Management Support teams within the Portfolio Division. The resource will be responsible for designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions that enable effective portfolio governance and performance management.

Working collaboratively with executive leadership, portfolio managers, project managers, business stakeholders, and technical teams, the Senior Data Engineer will transform data from multiple enterprise systems into actionable business intelligence supporting investment management, project oversight, risk identification, compliance monitoring, and executive decision-making.

While the primary focus of this position will be supporting ITIF-funded initiatives, the resource may also develop reporting and analytical capabilities supporting the broader statewide IT portfolio, Project Portfolio Management (PPM) environment, and Investment Management processes.

Position Responsibilities

The Senior Data Engineer shall perform duties including, but not limited to, the following:

Portfolio Reporting and Business Intelligence

  • Design, develop, implement, and maintain enterprise dashboards, executive scorecards, and business intelligence solutions supporting statewide IT investment management.
  • Develop standardized portfolio reporting supporting ITIF investments, project performance, portfolio governance, and executive oversight.
  • Design meaningful Key Performance Indicators (KPIs), portfolio metrics, and visualizations that communicate organizational performance and portfolio health.
  • Develop automated reporting processes that improve reporting accuracy, consistency, and timeliness.
  • Produce recurring and ad hoc executive reports supporting DTMB leadership, governance bodies, and agency stakeholders.

Data Engineering and Integration

  • Design, develop, and maintain data pipelines integrating information from the State's Project Portfolio Management (PPM) platform, business intelligence environment, financial systems, governance repositories, and other enterprise data sources.
  • Develop, optimize, and maintain complex SQL queries, data models, and transformation processes.
  • Design scalable data models that support enterprise reporting and analytical capabilities.
  • Ensure data quality, consistency, integrity, and reliability across reporting environments.
  • Recommend improvements to enterprise data architecture supporting investment management and portfolio reporting.

Portfolio Analytics

  • Analyze project, portfolio, financial, schedule, resource, governance, and operational data to identify trends, risks, opportunities, and emerging issues.
  • Assess project health, risk management effectiveness, deliverable quality, and compliance with applicable standards and governance requirements.
  • Perform root cause analysis to identify systemic portfolio issues and recommend corrective actions.
  • Identify risks and opportunities requiring escalation to the EPMO and DTMB executive leadership.
  • Develop predictive and trend-based reporting supporting proactive portfolio management and investment decision-making.

Business Analysis and Stakeholder Engagement

  • Facilitate meetings with business stakeholders to identify reporting requirements, performance measures, and analytical needs.
  • Gather, analyze, and document business and technical requirements for enterprise reporting solutions.
  • Translate business requirements into technical reporting and dashboard solutions.
  • Recommend reporting strategies, visualization approaches, and analytical solutions that improve executive decision-making.
  • Document business requirements, technical specifications, data definitions, metadata, and reporting standards.

Continuous Improvement

  • Identify opportunities to automate manual reporting activities and improve reporting efficiency.
  • Recommend enhancements to portfolio reporting processes, governance metrics, and business intelligence capabilities.
  • Support development and maintenance of statewide reporting standards supporting project management and investment management.
  • Participate in continuous improvement initiatives supporting the SUITE methodology, Investment Management program, and enterprise reporting capabilities.
  • Provide knowledge transfer, documentation, and technical guidance to State staff supporting long-term sustainability.
Minimum Requirements

The selected candidate must possess:

  • A minimum of three (3), and preferably four to seven (4–7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.
  • Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions.
  • Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.
  • Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms.
  • Experience gathering, analyzing, and documenting business requirements and translating those requirements into technical reporting and analytical solutions.
  • Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures.
  • Demonstrated experience analyzing portfolio, project, financial, operational, or governance data to support executive decision-making.
  • Strong analytical and problem-solving skills with demonstrated experience performing root cause analysis, identifying trends, and making data-driven recommendations.
  • Experience developing and optimizing SQL queries, data models, and data transformation processes.
  • Excellent written and verbal communication skills with the ability to communicate technical information effectively to both technical and non-technical audiences.
  • Demonstrated ability to work independently while managing multiple assignments, priorities, and stakeholder expectations.
Preferred Qualifications

Preference will be given to candidates with experience in one or more of the following:

  • Project Portfolio Management (PPM) systems such as Clarity, ServiceNow PPM, Planview, Microsoft Project Online, or similar enterprise portfolio management platforms.
  • Portfolio management, investment management, project governance, or executive portfolio reporting.
  • Microsoft Power BI, Microsoft Fabric, Azure Data Factory, Azure SQL, Microsoft SQL Server, or comparable Microsoft analytics technologies.
  • Enterprise data warehousing, semantic models, or business intelligence architecture.
  • Developing automated reporting solutions using APIs, ETL processes, scripting languages, or data integration platforms.
  • Government, public sector, or other large enterprise reporting environments.
  • Project management methodologies including PMI PMBOK, Agile, Scrum, Kanban, or SAFe.
  • Financial management, capital investment management, or portfolio performance reporting.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Management Information Systems, Mathematics, Statistics, Engineering, or another closely related field.
  • Equivalent combinations of education, technical training, professional certifications, and directly related experience may be considered.
Desired Certifications

The following certifications are preferred but not required:

  • Microsoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Azure Data Engineer Associate
  • Microsoft Azure Database Administrator Associate
  • Certified Business Intelligence Professional (CBIP)
  • Project Management Professional (PMP)
  • PMI Agile Certified Practitioner (PMI-ACP)
  • Certified Data Management Professional (CDMP)
Expected OutcomesThe successful candidate will:
  • Strengthen DTMB's oversight of the IT investment management portfolio through timely, accurate, and actionable reporting.
  • Improve visibility into the health and performance of statewide IT investments through standardized dashboards and executive reporting.
  • Enhance the State's ability to identify portfolio risks, emerging trends, compliance issues, and opportunities for proactive intervention.
  • Reduce manual reporting effort through automation, standardized reporting processes, and improved data integration.
  • Support informed executive decision-making through high-quality analytics and business intelligence solutions.
  • Establish scalable reporting capabilities that support the ongoing evolution of the State's Project Portfolio Management and Investment Management programs.

DTS offers an excellent compensation package.

Contact:

Kapil Sharma

Team Lead
 Digital Technology Solutions

Apply