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Big Data Analytics Jobs in Michigan (NOW HIRING)

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required ... Experience working with big data in a cloud environment , particularly Azure and Databricks

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities. * Collaborate with cross-functional teams to design and optimize data models in ...

Data Strategy-Manager

Detroit, MI · On-site

$99K - $232K/yr

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

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Big Data Analytics information

See Michigan salary details

$50

$51

$52

How much do big data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for big data analytics in Michigan is $51.63, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $52.16 per hour, depending on experience, location, and employer.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

What is a big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data analysis, programming, and tools like Hadoop and Spark. It offers competitive salaries, opportunities for advancement, and requires continuous learning to keep up with evolving technologies.
Infographic showing various Big Data Analytics job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 7% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $107,389 per year, or $51.6 per hour.

AIA-MLEU-Big Data Developer

Avani Technology Solutions, Inc.

Dearborn, MI • On-site

Contractor

Re-posted 8 days ago


Job description

DATA DEVELOPER Job summary Good Experience in any of the Hadoop distributed platform like HDP/Cloudera - Hands on experience on in java and Scala programming language. - Must have work Experience on core Java - Ability to write optimize and tune Hive queries Experience 8to12yrs Required Skills Technical Skills- Apache Hadoop Apache Spark Big Data Domain Skills- Automotive Industry Industrial Manufacturing 5.Nice to have skills Technical Skills- Domain Skills- Technology Shift Day 9 AM TO 7 PM Roles & Responsibilities Technical Lead Bachelors in science engineering or equivalent. Interact with clients and internal stakeholders provide guidance to team members and execute projects through the course of coding quality control deployment maintenance and support in order to deliver the project on time by ensuring maximum application uptime WITHIN the limits of SLAs Cognizant and clients standards processes and policies. Project Planning and Set-up- Understand project scope Based on the analysis of the type of the project provide inputs on project methodology to senior stakeholders (Project Manager / Architects etc.) Consolidate inputs from developers and collectively provide inputs on activities/ tasks task level estimates schedule dependencies risks etc. Consolidate inputs from developers and collectively provide inputs to testing strategy configuration deployment hardware/software requirement etc. Analyze in detail resources required for every phase conduct estimation of time utilization of different resources and activities prepare resource and development plan or provide inputs and review with PM Participate in KT sessions conducted by customer/ other business teams Requirement Understanding and Analysis- Along with the Business Analyst gather requirements (functional and non-functional) from customer Analyze requirements for feasibility with regards to testing and implementation Provide inputs for requirements prioritization Debrief team on the requirements gathered and seek feedback Participate in client calls and seek clarifications if any Create and maintain requirements traceability matrix along with BA Provide inputs during creation of operational concepts and scenarios Work with administrators to setup security requirements Design- Understand various functional and non functional requirements and HLD in order to provide inputs to create LLD and review Recommend make/ buy or alternate solutions Provide inputs in designing end to end solution Job Location Primary: USMIDEAC01-Dearborn - MI USA CLT Alternate: Demand Requires Travel-N Certification(s) Required-NA
Hours : 8:00am to 5:00pm
Education :
Additional Job Details : Shift Day 9 AM TO 7 PM