Senior Data Product Engineer developing and sustaining backend systems for media forecasting applications. Collaborating with cross-functional teams using SQL and Python in a hybrid work setting.
Responsibilities
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.
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