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Big Data Analytics Jobs in Michigan (NOW HIRING)

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

New

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

New

Mindlance

Big Data Developer

Detroit, MI · On-site

$52.25 - $68/hr

They are seeking a Big Data Developer to install, configure, and administer Cloudera clusters, as ... information analytic's platform. Qualifications : Required : • Installing, configuring ...

krg technology inc

Big data Tester

Detroit, MI · On-site

Four or more years of test development experience in BI/DW Expertise in Data analysis, Data ... Datawarehouse, Big Data and BI Analytics concepts Strong experience in SQL, PL/SQL Oracle ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Big Query, Azure, AWS S3, etc.) • Familiarity with time series database, data streaming ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$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 ...

Inficare Technologies

AI Specialist

Pontiac, MI · On-site

$80/hr

Big Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks) * Databases: SQL, NoSQL * Data Visualization:

Corporate Services

Lead Data Scientist

Detroit, MI · On-site

Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. * One plus (1+) year experience working with cloud Big Data Stack to orchestrate ...

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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.
What are popular job titles related to Big Data Analytics jobs in Michigan? For Big Data Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Big Data Analytics jobs in Michigan look for? The top searched job categories for Big Data Analytics jobs in Michigan are:
Big Data Analytics jobs near you
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.

Big Data Engineer

Select Minds LLC

Lansing, MI • On-site

$110K - $125K/yr

Full-time

Posted yesterday

New

Job description

Benefits:
  • ONSITE
  • Competitive salary
  • Opportunity for advancement

Big Data Engineer
Location: Chicago, IL (Day 1 Onsite)
Job Type: Contract / Full Time
Experience: 8+ yrs
Duration: Long Term
We are seeking an experienced Big Data Engineer  to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations. 
Key Responsibilities
* Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive.
* Build and maintain data ingestion workflows using Apache NiFi.
* Develop and support real-time data streaming solutions using Apache Kafka.
* Monitor application logs and system health using Kibana, Elasticsearch, and Logstash.
* Implement and support CI/CD pipelines using Git, Jenkins, and Nexus.
* Ensure data quality, integrity, and governance across Big Data platforms.
* Participate in architecture discussions and recommend scalable design solutions.
* Troubleshoot and resolve complex production issues across the Big Data stack.
* Collaborate with cross-functional teams in an Agile environment.
* Mentor junior engineers and contribute to technical best practices.
Required Qualifications
* 8+ years of experience in Big Data technologies.
* Strong hands-on experience with Spark, Scala, Hive (HQL), and the Hadoop ecosystem.
* Experience implementing Apache NiFi and Apache Kafka.
* Proficiency in Shell Scripting or Python.
* Experience with PostgreSQL.
* Familiarity with scheduling tools such as Oozie and Control-M.
* Working knowledge of Git, Jenkins, Nexus, Maven, Ansible, and SonarQube.
* Strong understanding of CI/CD practices.
* Experience in client-facing roles, including requirement gathering workshops.
* Minimum of two end-to-end Big Data implementation projects.
* Ability to work independently and contribute effectively within Agile teams.