What You'll Do
- Design, build, and maintain scalable data pipelines that power internal metrics, dashboards, and reporting across the Technology and Product organizations.
- Analyze and improve the efficiency, scalability, and stability of data collection, storage, and retrieval processes for our core systems.
- Work in collaboration with data scientists/data analysts to develop new and improved algorithms that best capture the value of our data.
- Own and operate Airflow DAGs and other orchestration workflows, ensuring reliable and timely delivery of internal data products.
- Participate in code reviews, contribute to documentation, and help raise engineering standards within the team.
Who You Are
- 4+ years of professional development experience building high-performance, large-scale applications/pipelines.
- Strong proficiency in Python/PySpark and SQL. While we work primarily in Python/PySpark, we acknowledge that engineers with sound fundamentals can pick up new languages relatively quickly.
- Hands-on experience with Airflow or a similar orchestration tool.
- Experience with Databricks or similar data lakehouse platforms is desirable.
- Strong analytical skills and a genuine curiosity for understanding data - you should be comfortable getting deep into datasets to identify problems and opportunities.
- Strong communication skills, especially in written form as we are a distributed team with members in both Warsaw and San Francisco.
- Solid computer science fundamentals - data structures, algorithms, and software design principles.
- Familiarity with FinOps concepts or cloud cost management is a plus, but not required.
Skills Required
- 4+ years of professional development experience building high-performance, large-scale applications/pipelines
- Strong proficiency in Python/PySpark and SQL
- Hands-on experience with Airflow or a similar orchestration tool
- Experience with Databricks or similar data lakehouse platforms
- Strong analytical skills and a genuine curiosity for understanding data
- Strong communication skills, especially in written form
- Solid computer science fundamentals - data structures, algorithms, and software design principles
- Familiarity with FinOps concepts or cloud cost management
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers. Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better. Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
