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Etl Developer Jobs in Michigan (NOW HIRING)

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premises ...

The MDHHS/DTMB AS Analytics and Visualization Division is seeking a Senior ETL Developer with extensive experience in IBM DataStage, IBM Cloud Pak for Data (CP4D), and Teradata 20. The resource will ...

The MDHHS/DTMB AS Analytics and Visualization Division is seeking a Senior ETL Developer with extensive experience in IBM DataStage, IBM Cloud Pak for Data (CP4D), and Teradata 20. The resource will ...

Roles & Responsibilities: - Design, develop, and optimize DataStage ETL workflows for large-scale ... engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM ...

Local to Michigan_SQL DBA(ETL Exp)

Lansing, MI

$50.75 - $63.50/hr

Strengths in writing SQL scripts for ETL highly desirable. SQL Server 2008, 2014 experience, Database administration, data modeling, configuration, security Resource monitoring, trouble shooting ...

Local to Michigan_SQL DBA(ETL Exp)

Lansing, MI · On-site

$50.75 - $63.50/hr

Strengths in writing SQL scripts for ETL highly desirable. • SQL Server 2008, 2014 experience, Database administration, data modeling, configuration, security • Resource monitoring, trouble ...

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design ... This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica ...

Java Developer

Ann Arbor, MI · On-site

$50 - $64.50/hr

Shell Scripts * ETL Tool - Data Services * Business Objects/Cognos * Vendor Integration Experience Application/Software Developers are involved in the full systems life cycle and therefore are ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with updating the enterprise standards when ...

Showing results 21-40

Etl Developer information

See Michigan salary details

$27

$50

$70

How much do etl developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for etl developer in Michigan is $50.01, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $55.96 per hour, depending on experience, location, and employer.

What is an ETL developer?

An ETL (extract, transform, load) developer is an information technology specialist whose area of expertise is data warehouse solutions. As an ETL developer, your responsibilities include overseeing the big picture data warehousing needs of your company. You work with a team of IT professionals to assess current data storage systems, evaluate needs, and determine the best way to meet those requirements. Once you have developed the new data warehouse system, you oversee the extraction of data from other sources, the uploading of that data into the new system, and testing and troubleshooting to ensure everything works properly.

What are the key skills and qualifications needed to thrive as an ETL developer?

To thrive as an ETL Developer, you need expertise in data warehousing concepts, strong SQL skills, and experience with ETL tools, often supported by a degree in computer science or a related field. Familiarity with tools like Informatica, Talend, SSIS, and proficiency in scripting languages as well as database management systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills ensure accurate data integration, reliable data pipelines, and successful collaboration with stakeholders in data-driven projects.

Is ETL developer difficult to learn?

ETL developers need to understand data integration, database management, and ETL tools like Informatica or Talend. Learning these skills involves understanding data workflows and may require familiarity with SQL and scripting, but with dedicated study and practice, it is achievable for those with a technical background.

What is the difference between Etl Developer vs Data Engineer?

AspectEtl DeveloperData Engineer
Primary FocusDesigning and developing ETL processes for data integrationBuilding and maintaining scalable data pipelines and infrastructure
Skills & CertificationsSQL, ETL tools, data warehousing, sometimes certifications like Microsoft or InformaticaProgramming (Python, Java), cloud platforms, big data technologies, often similar certifications
Work EnvironmentData warehouses, BI teams, analytics departmentsData platforms, cloud environments, big data ecosystems
Industry UsageFinance, healthcare, retail, where data integration is keyTech, finance, e-commerce, focusing on data infrastructure

While both roles involve data processing, Etl Developers primarily focus on creating and maintaining ETL processes for data integration, whereas Data Engineers build comprehensive data pipelines and infrastructure to support large-scale data analytics and storage. The roles often overlap, but Data Engineers typically work on broader data architecture and scalability.

What are some common challenges ETL developers face when integrating data from multiple sources, and how can they be addressed?

ETL Developers are IT professionals who specialize in designing, building, and maintaining systems for extracting, transforming, and loading data from various sources into data warehouses or other storage systems. They work with large datasets, ensuring that data is accurately and efficiently moved, cleaned, and integrated for business intelligence and analytics. ETL Developers use specialized tools and programming languages to automate these processes, making data accessible and useful for organizations. Their role is crucial in supporting data-driven decision making.

What are the most commonly searched types of Etl Developer jobs in Michigan?

The most popular types of Etl Developer jobs in Michigan are:

What are popular job titles related to Etl Developer jobs in Michigan?

For Etl Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Etl Developer jobs in Michigan look for?

The top searched job categories for Etl Developer jobs in Michigan are:

What cities in Michigan are hiring for Etl Developer jobs?

Cities in Michigan with the most Etl Developer job openings:

What are popular job titles related to Etl Developer jobs in MI?

For Etl Developer jobs in MI, the most frequently searched job titles are:

Infographic showing various Etl Developer job openings in Michigan as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, 1% Temporary, and 15% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $104,021 per year, or $50 per hour.

Sr. Data Engineer MS Fabric ETL Cloud

RICEFW Technologies, Inc.

Lansing, MI • On-site

$116K - $139K/yr

Contractor

Re-posted 7 days ago


Job description

Job Title: Sr. Data Engineer - MS Fabric / ETL / Cloud
We are looking for a hands-on Data Engineer with strong experience in MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms.
The ideal candidate must be able to work independently from Day One and mentor junior team members.
Key Responsibilities
  • Design and develop ETL/ELT pipelines
  • Perform data orchestration using Azure Data Factory, SSIS, or any cloud orchestration tool
  • Develop and optimize advanced T-SQL programs (stored procedures, views, performance tuning)
  • Build and maintain dimensional models (Star / Snowflake schema) and apply normalization principles
  • Work within the Microsoft Fabric ecosystem (ADF, Databricks, Data Warehouse)
  • Ensure strong alignment with Power BI data modelling
  • Mentor and guide team members

Required Skills
  • Strong T-SQL programming & SQL optimization
  • Experience with MS Fabric
  • Hands-on ETL / ELT development
  • Data Modelling expertise
  • Mandatory experience in at least one Cloud platform (Azure / AWS / GCP)
  • Proven data orchestration experience
  • Ability to work independently

Nice to Have
Python for data processing