Senior Data Product Engineer -1551
About The Position
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
- Strong SQL and Python programming experience
- Experience with Snowflake (data storage, query optimization)
- Proficiency with Docker for containerized development
- Experience with data pipelines and transformation workflows (ETL/ELT)
- Familiarity with media data (Nielsen, Adobe Analytics, or Comscore preferred)
- Strong understanding of backend or data engineering principles
- Bachelor’s degree in Computer Science, Engineering, or related field
- 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.
Nice To Haves
- Media, entertainment, or advertising analytics experience (linear or digital).
- Exposure to AWS modules (S3, EC2, EMR) and cloud data ecosystems.
- Experience integrating data with business -facing applications.
- Understanding of forecasting, viewership analytics, or revenue management systems.
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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Mid Level
Number of Employees
51-100 employees
