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Data Transformation Jobs in Michigan (NOW HIRING)

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Perform data transformation and scripting using SQL, Python, or Scala. * Work with Azure Cosmos DB and other Azure data storage solutions. * Conduct discovery on existing tools and data flows and ...

Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

Perform data transformation and scripting using SQL, Python, or Scala. * Work with Azure Cosmos DB and other Azure data storage solutions. * Conduct discovery on existing tools and data flows and ...

Data Transformation tools like Dataiku * Dashboarding tools like PowerBI or Tableu * Collecting Data from various sources * Troubleshoot issues with data infrastructure, monitor systems Andrew ...

Data Transformation tools like Dataiku * Dashboarding tools like PowerBI or Tableu * Collecting Data from various sources * Troubleshoot issues with data infrastructure, monitor systems Andrew ...

Develop, optimize, and maintain SQL-based transformations and reporting datasets. * Support and enhance Tableau dashboards, reports, and data sources. * Monitor, validate, and improve data quality ...

Develop, optimize, and maintain SQL-based transformations and reporting datasets. * Support and enhance Tableau dashboards, reports, and data sources. * Monitor, validate, and improve data quality ...

Develop, optimize, and maintain SQL-based transformations and reporting datasets. * Support and enhance Tableau dashboards, reports, and data sources. * Monitor, validate, and improve data quality ...

Azure Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

... transformation processes using Mapping Data Flows, SQL, and Spark technologies. • Monitor, troubleshoot, and optimize data pipelines for performance and reliability. • Configure incremental data ...

Azure Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

... transformation processes using Mapping Data Flows, SQL, and Spark technologies. • Monitor, troubleshoot, and optimize data pipelines for performance and reliability. • Configure incremental data ...

Data Engineer (Azure)

Grand Rapids, MI · On-site

$106K - $127K/yr

Required knowledge in SQL, Python, or Scala for data transformation and scripting. * Hands-on experience with Azure Cosmos DB and other Azure data storage solutions. * Ability to do discovery on ...

Azure Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

... transformation processes using Mapping Data Flows, SQL, and Spark technologies. • Monitor, troubleshoot, and optimize data pipelines for performance and reliability. • Configure incremental data ...

Data Scientist

Sterling Heights, MI · On-site

$57 - $58/hr

... through data transformation within Power BI Skills Required: Excellent oral and written communications. Proven ability to work within teams in which your contributions are critical to success.

ERP Data Migration / ETL Lead We are seeking a senior-level Data Migration Lead to own the data migration workstream as part of a large ERP transformation. Responsibilities * Lead data migration from ...

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Showing results 1-20

Data Transformation information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data transformation jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data transformation in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What are the typical daily responsibilities of someone in a Data Transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. Senior roles that involve strategic decision-making, leadership, and advanced skills in data management, analytics, and tools like SQL, Python, or cloud platforms tend to be the most lucrative.

What is the role of data transformation?

The role of data transformation in data transformation jobs involves converting data from its original format into a suitable format for analysis, storage, or processing. This process often includes cleaning, normalizing, and structuring data using tools like ETL (Extract, Transform, Load) software to ensure data quality and consistency for decision-making or further analysis.

Is 40 too late for data science?

Data transformation roles in data science often value skills and experience over age, and many professionals transition into the field later in life. Learning relevant tools like SQL, Python, and data visualization can help, and certifications or projects demonstrate capability regardless of age.

What is a Data Transformation job?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are popular job titles related to Data Transformation jobs in Michigan? For Data Transformation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Transformation jobs in Michigan look for? The top searched job categories for Data Transformation jobs in Michigan are:
Infographic showing various Data Transformation job openings in Michigan as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.
Enterprise Data Architect - AI Readiness / Data Transformation

Enterprise Data Architect - AI Readiness / Data Transformation

Eliassen Group

Lansing, MI • On-site

$90 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago


Job description

Enterprise Data Architect – AI Readiness / Data Transformation

Anywhere

Type: Contract-to-Hire

Category: Architecture

Industry: Retail

Workplace Type: Remote

Reference ID: JN -062026-107476

Date Posted: 06/16/2026

Shortcut: http://careers.eliassen.com/xCzwLV

  • Description

  • Recommended Jobs

Description:

Our client, a leader in their industry, has an excellent opportunity for an Enterprise Data Architect to support a major enterprise data transformation focused on AI readiness, data quality, governance, and enterprise-wide data modernization.

This is a 6–12 month contract-to-hire opportunity. The role is fully remote.

Contract Rate: $90–$100/hr W-2

Conversion Salary: Approximately $180K base + 20% bonus

This is not a traditional architecture role. The organization is preparing its data ecosystem to support future AI, machine learning, analytics, personalization, and enterprise reporting initiatives. This person will help drive the transformation needed to make enterprise data cleaner, more connected, better governed, and usable at scale.

The ideal candidate must be able to drive change across siloed teams, influence leadership, establish alignment, and move data initiatives forward in a complex environment. This is not a hands-on

keyboard engineering role. The focus is on enterprise data strategy, architecture, influence, governance, and execution leadership.

If you prefer clearly defined ownership, purely technical design work, or staying within your lane, this will not be the right fit. This role requires someone who can challenge stakeholders, create momentum, and lead data transformation across the organization without always having direct authority.

Due to client requirements, applicants must be willing and able to work on a W-2 basis. For our W-2 consultants, we offer a benefits package that includes Medical, Dental, Vision, 401(k) with company matching, and life insurance.

Responsibilities:

  • Lead enterprise data architecture and data transformation efforts focused on AI readiness, data quality, governance, and enterprise data usability.

  • Assess the current data landscape and identify gaps that limit the organization’s ability to support AI, ML, analytics, reporting, and future digital initiatives.

  • Create actionable roadmaps to improve data health, reduce fragmentation, and prepare enterprise data for advanced analytics and AI use cases.

  • Drive alignment across siloed business and technology teams to establish consistent data models, data flows, ownership, standards, and governance.

  • Partner with senior leaders, business stakeholders, and technology teams to improve enterprise data strategy and execution.

  • Influence teams without direct authority and help move cross-functional data initiatives forward.

  • Define and evolve data architecture standards, integration patterns, governance frameworks, and data management best practices.

  • Support enterprise data architecture across platforms including Google Cloud Platform, Salesforce, AWS, and on-prem environments.

  • Evaluate current-state data platforms, tools, and processes and recommend modernization or migration strategies.

  • Lead cross-functional discussions, remove roadblocks, and help accelerate data initiatives tied to AI readiness and enterprise transformation.

  • Present findings, recommendations, roadmaps, and progress updates to senior leadership.

Experience Requirements:

  • 10+ years of IT experience, including 3–5+ years in a Data Architect, Enterprise Data Architect, or similar leadership role.

  • Proven experience leading enterprise data transformation, data modernization, or large-scale data readiness initiatives.

  • Strong understanding of what it takes to prepare enterprise data for AI, ML, advanced analytics, and scalable reporting.

  • Demonstrated experience improving data quality, governance, data ownership, and overall enterprise data health.

  • Proven ability to influence stakeholders, gain buy-in, and drive adoption across complex, siloed organizations.

  • Strong experience in data architecture, data warehousing, enterprise data integration, and data modeling.

  • Strong experience with Google Cloud Platform, especially BigQuery, data pipelines, or large-scale cloud data platforms.

  • Experience working with Salesforce data integration, AWS, or other cloud platforms is a plus.

  • Prior hands-on background in data-related ETL, data integration, APIs, microservices architecture, or enterprise application/data flows.

  • Experience with relational databases, NoSQL databases, BI tools, and big data technologies.

  • Ability to communicate clearly with both technical and executive audiences.

Preferred Skills

  • Experience with large-scale consumer data environments.

  • Experience supporting AI/ML, personalization, customer data, or advanced analytics initiatives.

  • Experience improving enterprise data quality, governance, lineage, metadata, or master data practices.

  • Familiarity with tools such as Tableau, Power BI, Looker, or similar BI/reporting platforms.

  • Experience working in environments with Salesforce, customer data platforms, marketing data, loyalty data, or digital product data.

This Role Is NOT for Someone Who:

  • Wants a purely hands-on engineering or development role.

  • Has only designed architecture but has not driven adoption or organizational change.

  • Needs formal authority to influence teams and move work forward.

  • Is uncomfortable challenging stakeholders or pushing initiatives through ambiguity.

  • Prefers a narrow lane with clearly defined ownership and limited cross-functional complexity.

Education Requirements:

Bachelor’s or Master’s Degree in a relevant field of work, or an equivalent combination of education and work-related experience.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!


Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989