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Data Transformation Jobs in Michigan (NOW HIRING)

Azure/Databricks Infrastructure Engineer

Detroit, MI · On-site

$55.25 - $73.75/hr

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 08/7 ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Hands-on experience with SQL, data integration, ETL, and data transformation. * Experience developing dashboards and executive reports using Microsoft Power BI or similar BI tools. * Ability to ...

New

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Hands-on experience with SQL, data integration, ETL, and data transformation. * Experience developing dashboards and executive reports using Microsoft Power BI or similar BI tools. * Ability to ...

New

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases * Promote maintainable structures, reusable components and clear ...

... transformation techniques, continuously learn new techniques and methods to improve data science outcomes. Primary Job Responsibilities: * Develops and implements advanced statistical models using ...

... transformation techniques, continuously learn new techniques and methods to improve data science outcomes. Primary Job Responsibilities: * Develops and implements advanced statistical models using ...

Design and oversee endtoend data pipelines, including sourcetotarget mappings, transformation logic, and serving strategies. * Establish architectural patterns and standards for data ingestion ...

Design and oversee endtoend data pipelines, including sourcetotarget mappings, transformation logic, and serving strategies. * Establish architectural patterns and standards for data ingestion ...

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration. * Support data quality, governance, and security initiatives. * Participate in the full ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Advanced knowledge of SQL for data transformation, analysis, and performance tuning. • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD ...

Showing results 21-40

Data Transformation information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data transformation jobs pay per year?

As of Aug 6, 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.

What is a data transformation?

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.

Infographic showing various Data Transformation job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Applied AI Health Data Architect-Senior Manager

Pwc

Grand Rapids, MI • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team, you will design and implement thorough data architecture strategies that enhance healthcare operations. As a Senior Manager, you will influence key stakeholders, making sure that innovative data solutions meet the evolving needs of health systems while developing productive teams committed to excellence.
Responsibilities
- Design and execute strategic data architecture strategies for healthcare
- Influence and engage key stakeholders to align on innovative data solutions
- Develop and mentor dynamic teams focused on operational excellence
- Analyze and address evolving needs within health systems through data insights
- Lead initiatives that enhance healthcare operations through impactful data management
- Foster an environment of collaboration and open communication among teams
- Uphold compliance with industry regulations and standards in data practices
- Drive strategic improvements in data architecture to support organizational goals
What You Must Have
- Bachelor's Degree
- At least 8 years of experience
What Sets You Apart
- Hands-on experience with EMR back-end databases preferred
- Familiarity with HL7 v2, FHIR R4, and interoperability standards
- Proven track record architecting data solutions for healthcare programs
- Navigating HIPAA compliance and PHI data handling requirements
- Bridging clinical, operational, and technical conversations
- Experience with healthcare-specific integration engines and middleware
- Applying Gen AI techniques to healthcare use cases
- Proficiency in Python or SQL for data transformation
- Understanding of how data architecture supports quality reporting

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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