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Data Transformation Jobs in Michigan (NOW HIRING)

HTC Global Services

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 ...

HTC Global Services Inc

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 ...

HTC Global Services

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 ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

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

HTC Global Services Inc

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 ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

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

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

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 ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

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 ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI

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 ...

Up2date Technologies

Dynamics 365 Data Engineer

Troy, MI · On-site

$107K - $128K/yr

Strong SQL skills with complex queries, data transformation, validation, and relational data modeling. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Bronze, Silver, and ...

New

IntraEdge

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

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

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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All JobsData Transformation JobsData Transformation Jobs in Michigan

Data Transformation information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data transformation jobs pay per year?

As of Jul 16, 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 is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Science, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, along with extensive experience and relevant certifications.

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 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 includes tasks like cleaning, normalizing, and structuring data using tools such as ETL (Extract, Transform, Load) processes and scripting languages. Data transformation ensures data quality and consistency for effective decision-making and reporting.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge that AI tools currently cannot replicate. Skills in data visualization, statistical analysis, and understanding business context remain critical in this field.

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, along with building a portfolio, can help late entrants succeed 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:
Data Transformation jobs near you
Data Engineer

Data Engineer

HTC Global Services

Grand Rapids, MI • On-site

$106K - $127K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Job Title

Azure Data Engineer

Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience working with complex data flows or digital marketing/ecommerce data environments.

Overview / Summary

We are seeking an experienced Azure Data Engineer with 5 10 years of relevant experience in designing, developing, and implementing software and data engineering solutions. The ideal candidate will have strong expertise in Azure-based technologies, data transformation, and analytics platforms. This role involves working on complex tasks, supporting software applications, participating in testing processes, and contributing to data flow analysis and data modeling recommendations.

Key Responsibilities
  • Design, modify, develop, write, and implement software programming applications.
  • Support and/or install software applications and operating systems.
  • Participate in the testing process through test review, analysis, witnessing, and certification of software.
  • Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics for data engineering solutions.
  • 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 recommend data models where applicable.
  • Handle a variety of complex tasks with a high degree of creativity and independent judgment.
Required Qualifications
  • 5 10 years of relevant work experience.
  • 5 7 years of experience in data engineering focused 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 and analysis.
  • Ability to work on complex tasks with creativity and latitude.
  • Experience or understanding of digital marketing or ecommerce data domains 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-Onsite #LI-NC1 #Hiring

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