Software Engineer, Data Engineering

About the role

About Fubo:

FuboTV Inc. is a consumer-first live TV streaming company that is defining the future of TV.

Ranked among Fast Company’s Most Innovative Companies (2026) and the Financial Times’ The Americas’ Fastest-Growing Companies (2026, 2025), FuboTV owns Hulu + Live TV (entertainment), Fubo (sports) and Molotov (entertainment and sports), which stream in markets around the globe.

Our Mission:

Our mission is to deliver premium sports, news and entertainment programming through a best-in-class user experience that offers greater choice, flexibility and value.

About the Role:

*This role is a New York City based HYBRID position. Candidates must be located in NYC, and willing to come into the office on a hybrid basis, three times a week (Tuesday, Wednesday, Thursday).*

Fubo is looking for a Software Engineer to join our Data Engineering team. In this role, you'll design and build scalable data ingestion pipelines, analytics systems, and microservices that power business analytics, product analytics, recommendations, and personalization across Fubo's global streaming platform.

As a member of the Data Engineering team, you'll collaborate across disciplines, partnering with engineering, product, business, and marketing teams to deliver reliable data infrastructure that drives decisions across the company.

We're looking for engineers who care as much about data quality and consistency as they do about the systems that produce it. If you take pride in building reliable pipelines, ensuring data integrity end-to-end, and enabling analytics that drive real business decisions, you'll thrive here.

Our Tech Stack:

- Languages: Scala, Go, Python

- Data Processing Framework: Apache Beam, Scio

- Streaming: Apache Kafka, Google Pub/Sub

- Orchestration: Airflow

- Cloud & Infrastructure: GCP, Docker, Kubernetes

- Data Storage/Cache: BigQuery, Redis, Bigtable

Requirements:

- 4+ years of experience shipping production-quality features in a data engineering or backend software engineering role

- Experience developing data pipelines or microservices in Scala, Java, Go, or Python

- Experience working with data processing frameworks such as Apache Beam, Scio, Apache Spark, Apache Flink is preferred

- Familiarity with SQL and experience working with a data warehouse (BigQuery, Redshift, Snowflake, or similar)

- Comfortable working in a cloud environment (GCP, AWS, or Azure)

- Experience with streaming or messaging systems such as Apache Kafka or Google Pub/Sub is a plus

- You care about code quality and advocate for simple, maintainable solutions

- You're curious and driven by problem solving, always looking to learn new technologies and approaches, including how AI tools can change the way we build data systems