ZipRecruiter

Log In

1

Big 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) Hybrid 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 ...

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 well as develop functionality within Hadoop clusters and manage data files in HDFS. Responsibilities ...

krg technology inc

Big data Tester

Detroit, MI · On-site

... of Datawarehouse, Big Data and BI Analytics concepts Strong experience in SQL, PL/SQL Oracle, Informatica & Tableau Demonstrated experience implementing automation frameworks using scripting ...

Great Clips

Hair Stylist - Big Rapids

Big Rapids, MI · On-site

Now Hiring at Big Rapids Great Clips! air Stylist - Great Clips Ready for great pay and a full chair from day one? Join Great Clips and skip the stress of building your own clientele. What We Offer:

next page

Showing results 1-20

All JobsBig JobsBig Jobs in Michigan

Big information

See Michigan salary details

$17.1K

$93.9K

$171.7K

How much do big jobs pay per year?

As of Aug 9, 2026, the average yearly pay for big in Michigan is $93,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,299.00 and $126,896.00 per year, depending on experience, location, and employer.

What is the difference between Big vs Small?

AspectBigSmall
Company SizeLarge corporations with thousands of employeesSmall businesses or startups with fewer than 50 employees
Work EnvironmentStructured, hierarchical, formal policiesFlexible, informal, collaborative
Required CredentialsOften higher or specialized certificationsFewer formal credentials needed, more on-the-job training
Industry UsageCommon in finance, tech, manufacturingPrevalent in creative, local services, startups

Big companies typically offer structured environments, formal policies, and often require advanced credentials. Small companies tend to be more flexible, informal, and may prioritize practical experience over formal certifications. The choice depends on your preferred work environment and career goals.

What are some common challenges faced by big data engineers when managing large-scale data pipelines?

Big Data Engineers often encounter challenges such as ensuring data quality and consistency across distributed systems, optimizing data pipeline performance to handle massive data volumes, and maintaining data security and compliance. They also need to troubleshoot complex issues that arise with real-time data processing and integration from multiple sources. Collaborating closely with data scientists, analysts, and IT teams is essential to design scalable solutions that meet business needs.

What is a big data engineer?

Big Data Engineers are IT professionals who design, build, and maintain systems that process large volumes of data. They create the architecture and pipelines required to collect, store, and analyze data efficiently, often working with technologies like Hadoop, Spark, and NoSQL databases. Their work enables organizations to derive valuable insights from massive datasets, supporting data-driven decision-making and advanced analytics.

What are the key skills and qualifications needed to thrive as a big data engineer?

To thrive as a Big Data Engineer, you need a strong background in computer science, data modeling, and programming languages like Python, Java, or Scala, often supported by a relevant degree. Proficiency with big data frameworks (such as Hadoop and Spark), cloud platforms, and database systems is essential, along with certifications like AWS Certified Big Data or Cloudera Certified Professional. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills for tackling complex data challenges and working in diverse teams. These skills ensure efficient data processing, reliable infrastructure, and actionable insights that drive business value.
What cities in Michigan are hiring for Big jobs? Cities in Michigan with the most Big job openings:
Big jobs near you
Infographic showing various Big job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $93,858 per year, or $45.1 per hour.

Big Data Engineer

Select Minds LLC

Lansing, MI • On-site

$110K - $125K/yr

Full-time

Posted 3 days ago

New

Job description

Benefits:
  • ONSITE
  • Competitive salary
  • Opportunity for advancement

Big Data Engineer
Location: Chicago, IL (Day 1 Onsite) Hybrid
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.  

Flexible work from home options available.