What You'll Do
Contribute to data pipelines for ingestion, transformation, and distribution of datasets, implementing features that require analysis across a variety of factors.
Build ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, applying team standards and adapting approaches where needed.
Implement and test API endpoints that expose ingestion, processing, and distribution capabilities, with a focus on correctness and clear contracts.
Write automated tests and contribute to data quality validation and monitoring for pipeline components you work on.
Apply Samba's platform patterns to produce reliable, maintainable code that fits within the broader system.
Data Integration & ImplementationImplement partner and destination integrations against established patterns.
Apply privacy and data governance requirements (GDPR, CCPA) to the code you write, following established team patterns and escalating questions appropriately.
Collaborate closely with your immediate team and reason about how your work fits within the broader data platform.
Technical Contribution & CollaborationParticipate in code reviews, both as an author and a reviewer.
Write clear, well-tested, maintainable code that meets the team's quality standards.
Communicate proactively about blockers, progress, and questions, and engage constructively in team discussions.
Operational OwnershipParticipate in on-call rotations and contribute to improving operational practices across the team.
Implement monitoring and alerting for components you own.
Help maintain and improve CI/CD pipelines and testing coverage for team systems.
Who You Are
2+ years of professional software engineering experience with a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or an advanced degree without prior experience, or equivalent), with experience in data engineering, backend systems, or distributed data infrastructure.
Proficiency in Python and SQL; ability to write clean, tested, production-ready code.
Hands-on experience with AWS or GCP and their core data services.
Experience with data pipeline tools or workflow orchestration (e.g., Airflow, dbt, or equivalent) in a production environment.
Familiarity data privacy regulations (GDPR, CCPA).
Ability to communicate clearly, ask good questions, and work collaboratively within a team.
PreferredExposure to distributed processing frameworks (e.g., Spark, Databricks, or equivalent).
Familiarity with streaming or event-driven data systems (e.g., Kafka or equivalent).
Exposure to ad tech, audience activation, data licensing, or digital media.
Skills Required
- 2+ years of professional software engineering experience
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field
- Proficiency in Python and SQL
- Hands-on experience with AWS or GCP
- Experience with data pipeline tools or workflow orchestration
- Familiarity with data privacy regulations (GDPR, CCPA)
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.
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