Senior Data Operations Engineer
About The Position
The Senior Data Operations Engineer supports data operations and production systems, providing pipeline support and automation, troubleshooting data processing and reporting, and handling senior-level escalations. The role works with cloud platforms and data technologies including AWS, GCP, Cloudera Hadoop, Oracle, and Apache Spark. It also supports ETL/ELT workflows, BI reports and dashboards, and application server administration. The position participates in an on-call rotation and applies ITIL practices to incident, change, and problem management. The role is a contract position based in Auburn Hills, Michigan, and is limited to local candidates.
Requirements
- At least 8 years of experience in data operations or production support roles.
- Proficiency in Python and Java for pipeline support and automation.
- Strong hands-on experience with AWS Glue, including jobs, crawlers, and catalogs; S3 data lake table structures; and RDS databases.
- Working knowledge of the GCP cloud platform.
- Deep experience with the Cloudera Hadoop ecosystem, including HDFS, Impala, and related components.
- Experience with Oracle databases and OLTP transactional systems.
- Hands-on experience with Apache Spark for distributed data processing.
- Strong understanding of ETL/ELT design, processing, and troubleshooting.
- Working knowledge of Tableau and Power BI, including report and dashboard troubleshooting.
- Familiarity with Tomcat application server administration.
- Strong understanding of Git version control, code review, and pull request workflows.
- Deep knowledge of the ITIL framework, including incident, change, and problem management.
- Awareness of application security vulnerability management practices.
- Excellent troubleshooting, analytical, and communication skills.
- Ability to participate in an on-call rotation supporting production systems, including senior-level escalation ownership.
- Must be local to Auburn Hills, Michigan.
Nice To Haves
- Prior experience supporting automotive or manufacturing domain applications.
- Experience acting as a release or gate reviewer in a CI/CD environment.
- Certifications in AWS, GCP, or Cloudera.
- Familiarity with DevSecOps practices, including Docker, OpenShift, Terraform, SaaS product management, automated vulnerability scanning, and secrets management integrated with CI/CD security.
- Understanding of authentication and identity management platforms such as Microsoft Entra ID and IBM Security Access Manager (ISAM).
Responsibilities
- Support data operations and production systems, including senior-level escalation ownership.
- Support and automate data pipelines using Python and Java.
- Work with AWS services including Glue, S3, and RDS, as well as GCP.
- Support Cloudera Hadoop components, including HDFS and Impala, Oracle databases, and OLTP systems.
- Use Apache Spark for distributed data processing and troubleshoot ETL/ELT workflows.
- Troubleshoot Tableau and Power BI reports and dashboards.
- Administer and support Tomcat application servers.
- Use Git workflows, including code review and pull requests.
- Apply ITIL practices for incident, change, and problem management.
- Participate in an on-call rotation supporting production systems.
- Support application security vulnerability management practices.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
