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Data Mining Jobs in Michigan (NOW HIRING)

Data Engineer

Dearborn, MI

$105.50K - $126.60K/yr

... mining, and business intelligence solutions Strong expertise in ETL development, data modeling, and analytics platforms Experience working with large-scale structured and unstructured data Good ...

As well as using a variety of data mining/data analysis methods. Job responsibilities include but not limited to: * Merge large, complex data sets that meet business requirements * Analyze large ...

Data Engineer (GCP)

Dearborn, MI

$105.50K - $126.60K/yr

... mining, business intelligence, and big data technologies Strong experience in ETL, data/analytics, and application development Experience with Google Cloud Platform (GCP) Bachelor's Degree What Makes ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Experience with data mining, business intelligence, and big data technologies * Strong experience in ETL, data/analytics, and application development * Experience with Google Cloud Platform (GCP)

Data Engineer (GCP)

Dearborn, MI · On-site

$105.50K - $126.60K/yr

Experience with data mining, business intelligence, and big data technologies * Strong experience in ETL, data/analytics, and application development * Experience with Google Cloud Platform (GCP)

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software ...

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software ...

Data Engineer

Dearborn, MI · On-site

$105.50K - $126.60K/yr

Data Mining, Business Intelligence, Front End (Software Engineering), Software Development, Big Data, Data/Analytics, ETL, Application Development, Google Cloud Platform Experience Required: Engineer ...

Perform ERP data mining to support analysis initiatives Financial Analyst Education & Experience: * Bachelor's degree in Accounting * 3-5 years of experience in a Financial Analyst role

Perform ERP data mining to support analysis initiatives Financial Analyst Education & Experience: * Bachelor's degree in Accounting * 3-5 years of experience in a Financial Analyst role

Establish data pipelines and event log structures required for process mining * Drive process governance and standardization across functions Basic Qualifications: * Bachelor's or Master's degree in ...

Data Visualization & Reporting experience on at least one other data visualization tool such as Power BI and Tableau. * Hands-on experience with data architecting, data mining, and data modeling

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Data Mining information

See Michigan salary details

$44.5K

$61K

$77.6K

How much do data mining jobs pay per year?

As of May 28, 2026, the average yearly pay for data mining in Michigan is $61,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $74,100.00 per year, depending on experience, location, and employer.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.
What are the most commonly searched types of Data Mining jobs in Michigan? The most popular types of Data Mining jobs in Michigan are:
What cities in Michigan are hiring for Data Mining jobs? Cities in Michigan with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Michigan as of May 2026, with employment types broken down into 3% As Needed, 24% Full Time, 70% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $61,011 per year, or $29.3 per hour.
Advanced Analytics Data Engineer Intermediate (1443216)

Advanced Analytics Data Engineer Intermediate (1443216)

Brightwing

Auburn Hills, MI • Hybrid

$60 - $65/hr

Other

Posted 20 days ago


Job description

Job Description Onsite/ Remote Hybrid (3 days on site in Auburn Hills, MI) The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions. Responsibilities include but not limited to: Build what the Advanced Analytics Data Architect has designed. Work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.

Requirements: Requires a Bachelor's degree in Computer Science, Information Technology, or related field. 3+ years of related experience required. SQL expertise and data modeling experience.

Strong experience with Unix/Linux. ETL and data movement tools experience including: DataStage, Sqoop, and Pivotal Data Loader. Deep knowledge in data mining, machine learning, natural language processing, or information retrieval.

Experience processing large amounts of structured and unstructured data. Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions. Able to work in teams and collaborate with others to clarify requirements.

Ability to tune Hadoop solutions to improve performance and end-user experience. Understanding of how algorithms work and have experience building high-performance algorithms. Enjoy being challenged and to have a desire to solve complex problems on a daily basis.

Excellent oral and written communication skills. Preferred Requirements: MapReduce experience is a plus. Additional Information / Must Have's: Experience handling / processing large data sets both structured and unstructured Deep knowledge in data mining, information retrieval, and a natural curiosity about the data Expertise in data modeling specifically with less standardized / structured data Three + years of experience Onsite/ Remote Hybrid (3 days on site in Auburn Hills, MI) Does not require driving company vehicle Amount of travel: #IND1 Contract to hire opportunity.