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Etl Engineer Jobs in Michigan (NOW HIRING)

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Hands-on experience with SQL, data integration, ETL, and data transformation. * Experience ...

Global Information Technology

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Hands-on experience with SQL, data integration, ETL, and data transformation.Experience developing ... Engineering, or a related field.Equivalent experience and certifications will also be considered.

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... Build and optimize ETL processes using Databricks, Python, and Scala * Develop and support data ...

Pwc

Data Engineer - Manager

Grand Rapids, MI

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ...

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All JobsEtl Engineer JobsEtl Engineer Jobs in Michigan

Etl Engineer information

See Michigan salary details

$33

$48

$66

How much do etl engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for etl engineer in Michigan is $48.94, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $52.79 per hour, depending on experience, location, and employer.

What is the difference between Etl Engineer vs Data Analyst?

AspectEtl EngineerData Analyst
Primary RoleDesigning, developing, and maintaining data pipelines and ETL processesAnalyzing data to generate reports and insights
Skills & CertificationsSQL, ETL tools, scripting languages, data warehousingSQL, data visualization, statistical analysis
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, retailMarketing, finance, operations, consulting

While both roles work with data, an Etl Engineer focuses on building and maintaining data pipelines and infrastructure, ensuring data flows efficiently across systems. A Data Analyst interprets data to provide insights and support decision-making. Understanding these differences helps in choosing the right career path or job focus.

What is an ETL engineer?

ETL Engineers are professionals who specialize in designing, building, and maintaining systems that Extract, Transform, and Load (ETL) data from various sources into data warehouses or other storage systems. Their job is crucial for ensuring that data is accurate, consistent, and accessible for analysis and business intelligence purposes. ETL Engineers work with large datasets, write complex SQL queries, and often use ETL tools like Informatica, Talend, or Apache NiFi. They collaborate closely with data analysts, database administrators, and other IT staff to ensure smooth data integration and flow across an organization.

What are some common challenges ETL engineers face when working with large-scale data pipelines?

ETL Engineers often encounter challenges related to data quality, scalability, and optimizing performance when dealing with large-scale data pipelines. Ensuring consistent and accurate data transformation across diverse sources can be complex, especially as data volume grows. Additionally, troubleshooting bottlenecks, managing failures, and maintaining efficient data flows require strong problem-solving skills and collaboration with data analysts, database administrators, and other engineering teams. Staying up-to-date with evolving ETL tools and cloud technologies is also essential for long-term success in this role.

Is ETL in demand now?

ETL (Extract, Transform, Load) engineers are currently in high demand due to the growth of data-driven decision-making and the need for efficient data integration. Organizations seek professionals skilled in tools like Apache Spark, Talend, and Informatica, often requiring knowledge of cloud platforms and data warehousing. The role offers strong job prospects across various industries with competitive salaries.

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

To thrive as an ETL Engineer, you need a strong background in data modeling, SQL, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, as well as experience with data warehousing and scripting languages like Python, is typically required. Analytical thinking, problem-solving ability, and effective communication are valuable soft skills in this role. These skills ensure accurate, efficient data integration and transformation, which are critical for supporting business intelligence and decision-making.
What are popular job titles related to Etl Engineer jobs in Michigan? For Etl Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Etl Engineer jobs in Michigan look for? The top searched job categories for Etl Engineer jobs in Michigan are:
Etl Engineer jobs near you
Infographic showing various Etl Engineer job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,795 per year, or $48.9 per hour.

Programmer Analyst 6 - Data Engineer

KYYBA Inc

Lansing, MI • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
KYYBA Inc is a staffing and recruiting firm with a global presence, founded in 1998. They are seeking a talented Programmer Analyst 6 - Data Engineer to join their client's team, focusing on developing complex database systems and implementing data pipelines.
Responsibilities:
• 12+ years developing complex database systems.
• 8+ years Databricks.
• 8+ years using Elastic search, Kibanna.
• 8+ years using Python/Scala.
• 8+ years Oracle.
• 5+ years' experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.
• 5+ years' experience with AWS.
• 5+ years' experience with data warehousing, data visualization Tools, data integrity.
• 5+ years using CMM/CMMI Level 3 methods and practices.
• 5+ years implemented agile development processes including test driven development.
• 3+ years' experience or Knowledge on creating CI/CD pipelines using Azure DevOps.
Qualifications:
Required:
• 12+ years developing complex database systems.
• 8+ years Databricks.
• 8+ years using Elastic search, Kibanna.
• 8+ years using Python/Scala.
• 8+ years Oracle.
• 5+ years' experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.
• 5+ years' experience with AWS.
• 5+ years' experience with data warehousing, data visualization Tools, data integrity.
• 5+ years using CMM/CMMI Level 3 methods and practices.
• 5+ years implemented agile development processes including test driven development.
• 3+ years' experience or Knowledge on creating CI/CD pipelines using Azure DevOps
Company:
Kyyba, Inc. Founded in 1998, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
KYYBA logo

About KYYBA

Sourced by ZipRecruiter

About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998

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