Senior Data Engineer

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

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.

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

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/