VP Software Engineering at GM Financial responsible for technology implementation strategy and leading product teams in Agile environment. Championing technology modernization and driving operational excellence.
About the role
- 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.
- Bachelor’s degree required.
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