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Data Transformation Jobs in Michigan (NOW HIRING)

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career ...

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 ...

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 ...

Geologics Corporation

Data Scientist

Sterling Heights, MI · On-site

$72 - $85/hr

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

New

Judge Group, Inc.

Data Scientist

Sterling Heights, MI · On-site

$50 - $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.

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

Stonhard

$95K - $120K/yr

Data Transformation & Integration * Develop and enhance Bronze, Silver, and Gold layer datasets to support business and analytical requirements. * Integrate data from ERP and other enterprise systems ...

New

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.

Reply

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Deloitte

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 09/01 ...

Reply

Data Engineer

Detroit, MI

$130K - $150K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

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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 Sep 2, 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 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.

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 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 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
Infographic showing various Data Transformation job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

DATA ENGINEER

AaraTechnologies Inc

Wyoming, MI • On-site

$103K - $124K/yr

Other

Posted 8 days ago

Job description

Data Engineer Retail & E-Commerce (2-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career data professionals.

Key Responsibilities
  • Support ETL / ELT data pipelines
  • Write SQL queries and basic Python scripts
  • Assist with data ingestion and transformation
  • Perform data quality checks
  • Support data warehouse activities
  • Collaborate with BI teams
  • Maintain technical documentation
Required Qualifications
  • 2-3 years of experience in data engineering or analytics
  • Strong SQL skills
  • Basic Python knowledge
  • Understanding of ETL concepts
  • Exposure to cloud platforms
  • Strong analytical mindset
  • Good communication skills
Skills

SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation, Data Validation, Data Quality Checks, Retail & E-Commerce Data, Transactional Data Processing, Data Warehousing Concepts, Dimensional Modeling Basics, Cloud Data Platforms (AWS Basics), S3, Redshift Exposure, Batch Processing, Schema Design Basics, Documentation, Collaboration with BI Teams

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