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Weekend Big Data Software Engineer Jobs in Michigan

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 ...

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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Uphold rigorous software engineering standards, including comprehensive unit/integration testing ... Big Query, Azure, AWS S3, etc.) • Familiarity with time series database, data streaming ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data engineering, data product development and software product launches * At least three of the following languages: Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering ...

Software Engineer #1061561 * Employees in this job function are responsible for designing ... Data Architecture * Big Data * Cloud Infrastructure * Apache Spark * Big Query * Apache Hadoop

WHO WE'RE LOOKING FOR We are seeking an experienced backend software engineer with a strong emphasis on data engineering and data analytics. The ideal candidate has experience with large-scale data ...

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Data engineering, data product development and software product launches * At least three of the following languages: Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering ...

Dearborn, Michigan Software Engineer #1061561 * Employees in this job function are responsible for ... Data Architecture * Big Data * Cloud Infrastructure * Apache Spark * Big Query * Apache Hadoop

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, who can develop all components of software including user ... Big Query * Apache Hadoop * Java * Docker * Python * Data Management Skills Preferred: GitHub ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, in which employees develop all components of software ... Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink.

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Weekend Big Data Software Engineer information

What is the difference between Weekend Big Data Software Engineer vs Weekend Data Analyst?

AspectWeekend Big Data Software EngineerWeekend Data Analyst
Required SkillsProgramming (Java, Python), Big Data tools (Hadoop, Spark), Data pipeline developmentData visualization, SQL, statistical analysis, Excel
Work EnvironmentTech companies, data-driven projects, software development teamsBusiness departments, reporting, data interpretation
CertificationsBig Data certifications (Cloudera, Hortonworks), Programming certifications

Weekend Big Data Software Engineers focus on developing and maintaining big data systems using programming and big data tools, often working in tech environments. Weekend Data Analysts interpret data, create reports, and support decision-making with statistical skills. Both roles may work on weekends but differ in technical depth and daily tasks.

What are the most commonly searched types of Big Data Software Engineer jobs in Michigan?

The most popular types of Big Data Software Engineer jobs in Michigan are:

Big Data Engineer

Select Minds LLC

Lansing, MI • On-site

$110K - $125K/yr

Full-time

Posted 20 days ago


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.