Antenna Senior Data Engineer at Antenna responsible for building and maintaining scalable data pipelines on GCP. Collaborates with Data Science and Data Operations teams to ensure accuracy and reliability of Subscriber Metrics data products.
Responsibilities
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
Qualification
5+ years in software engineeringYou independently navigate complexYou proactivelyBonus
Required
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
