Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.

About Samba TV Samba TV is at the cutting edge of transforming the TV experience, leveraging proprietary data and AI-driven insights to help media companies, advertisers, and audiences engage in more meaningful ways. With a global footprint and recognition as one of the fastest-growing ad-tech companies, we are expanding our Data Engineering team and seeking a Data Engineer to drive innovation and scalability in our data platform.

The Role As a Data Engineer , you will be responsible for developing scalable, high-performance data pipelines and infrastructure that power Samba TVs analytics and insights. You will play a critical role in designing and implementing architectural improvements, ensuring best practices, and optimizing data workflows. You will collaborate closely with Data Science, Analytics, and Product teams to deliver robust, production-ready data solutions that drive business impact.

Key Responsibilities

• Design, develop, and optimize large-scale data pipelines and infrastructure.
• Architect scalable and efficient solutions for data ingestion, transformation, and storage, ensuring performance, reliability, and security.
• Collaborate cross-functionally with Data Science, Analytics, and Product teams to translate business needs into data-driven solutions.
• Enhance monitoring and observability of data processes, improving debugging, error detection, and system reliability.
• Drive best practices for code quality, testing, and software design in data engineering.

Qualifications & Experience

• 4 + years of experience in Data Engineering, Software Engineering, or a related field.
• Must-have expertise in Apache Airflow, Databricks, and PySpark for orchestration, scalable data processing, and transformation.
• Expertise in Python or strong proficiency in another modern programming language with a willingness to master Python.
• Deep understanding of distributed data processing frameworks (e.g., Apache Spark, or similar).
• Strong knowledge of data modelling, database design, and query optimization for both relational and non-relational databases.
• Experience with cloud-based data infrastructure (AWS, GCP, or Azure) and modern data lake architectures.
• Familiarity with CI/CD pipelines and automation tools for data engineering.
• Excellent problem-solving and communication skills , with the ability to work effectively in a distributed team environment.