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1099 Data Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

DATA ENGINEER LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED) INTERVIEW: FACE TO FACE EXPECTED JOINING TIME (2 WEEKS) NEED PHOTO ID / LINKEDIN LINK ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

Data Engineer

Warren, MI ยท On-site

$107K - $129K/yr

You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability ...

Data Engineer

Detroit, MI ยท Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical ...

Data Engineer

Detroit, MI ยท Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Azure Data Engineer Overview / Summary We are seeking an experienced Azure Data Engineer with 5-10 years of relevant experience, including 5-7 years focused on Azure-based data engineering solutions.

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Azure Data Engineer Overview / Summary We are seeking an experienced Azure Data Engineer with 5-10 years of relevant experience, including 5-7 years focused on Azure-based data engineering solutions.

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must, Need USC/ GC Responsibilities: * Participates in the analysis and development of technical ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054989 * 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

Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out Fardeen Ali at / We are seeking a Data Engineer to design, build, and maintain end-to-end data ...

$104K - $125K/yr

As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data solutions for Corning's manufacturing and operational environments. You will collaborate with ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that ...

Data Engineer

Wyoming, MI ยท On-site +1

$103K - $124K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities ...

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1099 Data Engineer information

What are some common challenges faced by 1099 data engineers working as independent contractors?

As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.

What is a 1099 data engineer?

A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.

What are the key skills and qualifications needed to thrive as a 1099 data engineer?

To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.

What is the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer handles taxes, provides benefits

In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.

What are popular job titles related to 1099 Data Engineer jobs in Michigan? For 1099 Data Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for 1099 Data Engineer jobs? Cities in Michigan with the most 1099 Data Engineer job openings:

Data Engineer (Hybrid Onsite)

GSK Solutions Inc.

Lansing, MI โ€ข On-site

$70/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title

Data Engineer (Hybrid Onsite)

Location

Lansing, MI

Duration

12 Months

Pay Rate

$70/hr on C2C / 1099 all inclusive (OR) $65/hr on W2

Interview Type

Virtual Interview via MS Teams video. Please use laptop and be prepared to share screen if asked.

Note

  • Will close submissions on: 8/7/26 at 10am EST

  • Hybrid: Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week. Wednesdays and Thursdays are required onsite days.

  • Local candidates ONLY. Candidate MUST be located in Michigan at time of submission and be able to abide by the hybrid work schedule.

  • References are required for this position. Please include a separate attachment with your submission that includes 2-3 professional references. Each reference should include the name, email, phone number, and their position title/company name.

Job Description

The Michigan Department of Technology, Management and Budget (DTMB) is seeking an experienced Senior Data Engineer to support statewide portfolio reporting, business intelligence, and data analytics for the State Unified Information Technology Environment (SUITE) Investment Management program.

DTMB administers the Information Technology Investment Fund (ITIF), a legislative appropriation that provides funding for critical information technology modernization, cybersecurity, innovation, and infrastructure initiatives across State of Michigan agencies. Given the size, visibility, and complexity of these investments, DTMB requires timely, accurate, and actionable reporting to support executive oversight, portfolio governance, and informed investment decision-making.

The successful candidate will serve as a technical and analytical resource within the Enterprise Portfolio Management Office (EPMO), supporting the SUITE 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 SUITE 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.

Top Skills & Years of Experience

Minimum Requirements

The selected candidate must possess:

  • A minimum of three (3), and preferably four to seven (4โ€“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 Outcomes

The 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.

Recruiter Details

Contact: Lokesh - - Eight three two - Nine nine zero -Two four two six