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# Big Data Engineer (Job Code: 1011)

- **Company:** POPULUS GROUP
- **Location:** Troy, MI, United States
- **Experience:** Experienced
- **Salary:** $139,360.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Big Data, Cloud Computing, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), Data Visualization, Software Debugging, Github, Apache Hadoop, Mobile Application Software, Python (Programming Language), Machine Learning, Scala (Programming Language), Software Engineering, Software Systems, SQL Databases, Apache Spark, Information Technology, Production Code, Apache Kafka
- **Published:** August 22, 2026
- **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/403381178

## About the Role

Experience must include two (2) years use of all the following: Hadoop, Spark, AWS, Big Data, Python, SQL, ETL processes, Kafka, Scala, data visualization, machine learning, and GIT/GitHub.

Will also accept any suitable combination of education, training, and/or experience., Education: Bachelors - Data Science, Computer Science, Computer Information Systems, Information Technology, or in a related field of study (will accept equivalent foreign degree)., Experience: Two (2) years in the position above, as a Data Analyst, as a Data Engineer, or in a related occupation.

## Description

Responsible for providing support in the execution of creative software solutions, designs, development, and technical troubleshooting beyond routine or conventional approaches in order to build solutions and break down technical problems; develop secure and high-quality production code; review and debug code; identify opportunities to eliminate or automate remediation of recurring issues in order to improve overall operational stability of software applications and systems; provide technical software applications and processes support, including cloud, artificial intelligence, machine learning, and mobile applications; utilize and apply knowledge of Hadoop, Spark, AWS, Big Data, Python, SQL, ETL processes, Kafka, Scala, data visualization, machine learning, and GIT/GitHub to perform assigned duties; assist with Software Development Life Cycle and automation, as well as continuous delivery methods; provide support with system design, application development, testing, and operational
stability, including Big Data, Hadoop, Spark, AWS; and apply advanced understanding of Agile methodologies including CI/CD, Applicant Resiliency, and Security.


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