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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. Perform discovery of existing tools and data flows and ...

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. * Perform discovery of 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 ...

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 ...

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 ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks. Required qualifications

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

Define and implement data transformations, semantic structures, and curated data assets that improve usability, consistency, downstream performance, and trust in the data. * Apply strong data quality ...

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

Define and implement data transformations, semantic structures, and curated data assets that improve usability, consistency, downstream performance, and trust in the data. * Apply strong data quality ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Perform data ingestion, data wrangling, and data transformation for various data sources, including loading data into BigQuery. Develop and maintain stored procedures, triggers, and data models. Work ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Perform data ingestion, data wrangling, and data transformation for various data sources, including loading data into BigQuery. * Develop and maintain stored procedures, triggers, and data models.

Proven success leading enterprise-scale data transformation and Master Data Management initiatives. * Deep understanding of data governance, modern data architectures, and enterprise data platforms.

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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 5, 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.

$110K - $132K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Job Title: 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. The role involves designing, developing, modifying, and implementing software programming applications, supporting software applications and operating systems, and participating in software testing activities. The ideal candidate is experienced with Azure data technologies, works effectively on complex tasks, and applies sound judgment and creativity to deliver solutions. Key Responsibilities Design, modify, develop, write, and implement software programming applications. Support and/or install software applications and operating systems. 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 Factory (ADF), Databricks, and Synapse Analytics. Perform data transformation and scripting using SQL, Python, or Scala. Work with Azure Cosmos DB and other Azure data storage solutions. Perform discovery of existing tools and data flows and recommend data models, where applicable. Plan and accomplish complex tasks using experience and judgment. Required Qualifications 5–10 years of relevant work experience. 5–7 years of experience in data engineering with a focus on Azure-based solutions. Strong experience with Azure Data Factory (ADF), Databricks, and Synapse Analytics. Knowledge of SQL, Python, or Scala for data transformation and scripting. Hands-on experience with Azure Cosmos DB and other Azure data storage solutions. Familiarity with software testing processes, including test review, analysis, test witnessing, and certification. Familiarity with a variety of software development concepts, practices, and procedures. Ability to perform discovery on existing tools and data flows and recommend data models is a plus. Experience or understanding of working in the digital marketing or ecommerce data domain is preferred. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-NS1 #Hiring #LI-Onsite