Hybrid Senior Data Product Engineer

Posted last week

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About the role

  • Develop and sustain backend systems and data workflows for media forecasting applications.
  • Write production-level SQL and Python code to support analytical and web-based applications.
  • Collaborate with Data Engineering, Decision Science, and App Engineering teams to maintain datasets powering key forecasting tools.
  • Design, build, and optimize transformation logic connecting disparate data sources.
  • Support the ongoing development and sustainment of an internal forecasting platform used across multiple business units.
  • Participate in Agile sprint cycles, assisting with prioritization, task management, and technical implementation.
  • Ensure data quality, operational stability, and timely delivery of enhancements.

Requirements

  • 5+ years of experience in software/data engineering or data product development.
  • Hands-on experience with SQL, Python, Docker, and version control (Git).
  • Familiarity with Snowflake, Airflow, or other cloud-based data orchestration tools.
  • Excellent analytical and communication skills to collaborate across data, science, and application teams.
  • Proven ability to manage both sustainment tasks and new feature development in parallel.
  • Bachelor’s degree required.

Job title

Senior Data Product Engineer

Job type

Experience level

Senior

Salary

$86 per hour

Degree requirement

Bachelor's Degree

Location requirements

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