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Data Platform Engineer

Job in South Naperville Area, Will County, Illinois, 60564, USA
Listing for: Optomi
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    Python, AWS, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below

Optomi, in partnership with a a leader in the U.S. home warranty and home repair service industry, is seeking a Data Platform Engineer to join their team! You will be responsible for designing, building, and product ionizing a workflow orchestration platform that supports our marketing operations. This role involves creating reliable and scalable software, working closely with data engineers, frontend developers, and cloud engineers to deliver an orchestration engine that coordinates campaign execution across multiple systems using Python, Prefect, AWS, and Snowflake.

Job Qualifications:

  • Strong commercial experience developing applications in Python
  • Experience building and supporting production workflow orchestration platforms
  • Hands-on experience with Prefect or a comparable orchestration framework
  • Infrastructure as Code (Terraform is preferable)
  • Strong SQL skills and experience working with Snowflake or another modern cloud data warehouse
  • Experience deploying and operating applications in AWS
  • Experience building and maintaining CI/CD pipelines
  • Strong understanding of monitoring, logging and observability
  • Experience troubleshooting production systems and data pipelines
  • Experience integrating applications through APIs and distributed services
  • Strong software engineering practices, including testing, version control and code reviews
  • A practical approach to security, including secrets management, least-privilege access and environment separation

Job Responsibilities:

  • Design, develop, and maintain workflow orchestration using Python and Prefect.
  • Integrate with Snowflake, REST APIs, middleware, and internal applications.
  • Implement monitoring, logging, and alerting for production workloads.
  • Work closely with a cross-functional team to deliver end-to-end solutions.
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