Antenna is the leading provider of data and analytics for subscription media services in the U.S. Antenna's standardized metrics, competitive benchmarks, syndicated insights, and market intelligence are trusted by some of the most recognized and respected brands across media and entertainment sectors. Using a proprietary AI-powered approach, Antenna connects subscription activities with real consumer viewership to provide services, studios, and creators with an unmatched, market-wide view of subscriber behaviors to better understand acquisition, retention, and engagement.

When the Wall Street Journal, Bloomberg, or the New York Times reports on the streaming wars, the numbers trace back to Antenna. We're the market standard for the Subscription Economy: the pipelines and data models you own here process the signal that the biggest brands in media and entertainment rely on to decide what to make, what to charge, and how to grow. The systems you build aren't internal tooling that quietly does its job, they get cited, scrutinized, and trusted at the highest levels of the industry, which means the engineering bar here is real: accuracy, scalability, and reliability aren't nice-to-haves, they're the product.

We are looking for a Senior Data Engineer to join our team to ensure the accuracy and scalability of Subscriber Metrics, one of Antenna's core data products. In this role, you will partner with our Data Operations and Data Science teams to tackle complex data engineering problems and integrate data models. You will own the reliability of our data delivery and serve as the subject matter expert for our delivery pipeline. The incoming Senior Data Engineer will join a collaborative team that requires a technical, driven team member who brings a solid programming foundation, cloud platform experience, and a passion for automation.

You will report to the VP, Engineering. Antenna is a remote-first company, and we are looking for candidates who can work during US business hours. Preferably, you should be based in a US time zone (Eastern, Central, Mountain, or Pacific).

What You’ll Do

Build, orchestrate, and maintain data pipelines on our GCP stack, using BigQuery and dbt for modeling, PySpark and Parquet for large-scale processing, and Dagster for orchestration.
Develop a deep understanding of Antenna's core data models in order to collaborate effectively with Data Science and Data Ops
Partner with the Data Science and Data Ops teams to maintain datasets that are trusted, well-understood, and enable self-service
Work with a wide range of cross-functional stakeholders to derive and define requirements
Document, simplify, and explain complex problems to different types of audiences
Establish best practices for the development of specialized datasets for analytics and modeling

Who You Are

5+ years in software engineering, with at least 3 years focused specifically on data infrastructure or platform engineering
You've built production pipelines in a modern cloud warehouse (BigQuery, Snowflake, or Databricks) with dbt, SQL, or Spark and an orchestrator like Dagster or Airflow
You have expertise with SQL and at least one general-purpose programming language, preferably Python, for building pipelines, custom integrations, automation scripts, and occasional web services
You independently navigate complex, unfamiliar systems to identify and fix difficult problems
You proactively, consistently, and effectively communicate with cross-functional teammates and stakeholders
You care about and understand the testability of data systems
You use AI tools and automation to genuinely improve your work, and you're pragmatic rather than reliant on them
Bonus: You design and implement backend web services
Bonus: You manage cloud resources (GCP or AWS) using infrastructure as code tools like Terraform, Pulumi, or CloudFormation
Bonus: You design maintainable systems to solve challenging customer problems
Bonus: You bring industry experience with receipt, transaction, or viewership data
Bonus: You have experience with data architecture and governance
Advanced English proficiency (B2-C1) Please submit a resume in English language in the application.

Our Stack

Python, including testing, type checking, and modern dependency management
SQL, primarily BigQuery and dbt
Google Cloud, especially BigQuery, Cloud Run, GCS, and Dataproc
Terraform, Docker, and CI/CD
PySpark and Parquet-based data processing
Dagster or a comparable orchestration framework
FastAPI or a comparable Python web framework
Applied ML using scikit-learn or PyTorch
LLM applications using Gemini or another major model provider, with structured outputs and agent/workflow frameworks such as LangGraph
AI coding tools such as Claude Code, Cursor, or Code

About Antenna

Antenna is the leading provider of data and analytics for the U.S. Subscription Economy. Our standardized metrics, competitive benchmarks, syndicated insights, and market intelligence are used by some of the most trusted brands across media and entertainment sectors to better understand subscriber behavior and successfully navigate the rapidly changing consumer subscription landscape.

Founded in 2019 by Jonathan Carson, a successful serial entrepreneur with deep roots in data and analytics, and Rameez Tase, a seasoned executive in media and analytics, Antenna’s mission is supported by top investors with global expertise in media and technology: Raine Ventures, BDMI, UTA Ventures, and many more. Antenna is powered by a dedicated group of individuals who are intellectually curious, passionate about service, and committed to supporting the needs of Antenna clients and each other every day. As a small remote-first team, Antenna team members have the opportunity to work alongside senior leaders and professionally grow with an early-stage team.

https://www.antenna.live/