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Senior Software Engineer

External
antenna logoAntenna · Latin America
Full-timeRemote1mo ago30+ days old, may be filled
AirflowBigQueryCore DatadbtPulumiPython
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Responsibilities

  • Own, maintain, and improve scalable data pipelines that empower Antenna's recently launched Subscriber Views product. Proactively identify failures, troubleshoot root causes, and implement corrective actions to prevent recurrence
  • Develop a deep understanding of Antenna's core data models in order to collaborate effectively with Data Operations and Data Science
  • Partner with the Data Science and Data Operations teams to maintain datasets that teams trust, understand, and use for self-service
  • Collaborate with a wide range of cross-functional stakeholders to gather and define requirements
  • Document, simplify, and explain complex problems to diverse audiences
  • Establish best practices to develop specialized datasets for analytics and modeling

Requirements

  • 5+ years in software engineering, and 3+ years on data infrastructure or platform engineering
  • You build data pipelines with tools like Spark or dbt, manage data in a major cloud warehouse like BigQuery, Snowflake, or Databricks, and orchestrate workflows with tools like Dagster or Airflow
  • You write expert SQL and program proficiently in at least one general-purpose language like Python to build pipelines, custom integrations, automation scripts, and web services
  • You independently navigate complex, unfamiliar systems to identify and fix difficult bugs
  • You communicate proactively, consistently, and effectively with cross-functional teammates and stakeholders
  • You are a self-starter who can carry multiple initiatives, prioritize time and resources, and meet deadlines in a fast-moving environment
  • You are a champion of using automation tools and AI-driven solutions to streamline data workflows and elevate data product reliability
  • Bonus
  • You design backend web services, manage cloud resources with infrastructure as code tools like Terraform or Pulumi, and design maintainable systems to solve challenging customer problems
  • You bring industry experience with receipt, transaction, or viewership data
  • Antenna Benefits
  • Work from anywhere, during US business hours
  • Competitive compensation, including participation in Antenna equity program
  • Mentorship from experienced executives
  • Opportunity to grow and impact a rapidly growing start up
  • Travel to In-person team off-sites (visa-permitting)
  • And more!
  • About Antenna
  • https://www.antenna.live/

Benefits

Remote work optionsEquity / stock optionsPerformance bonus

Additional Information

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. We are looking for a Senior Software Engineer to join our team to ensure the accuracy and scalability of our newest product, Subscriber Views. In this role, you will partner with our Data Operations and Data Science teams to tackle complex data engineering problems and integrate data models. In this role, you will own the reliability of our data delivery and serve as the subject matter expert for our delivery pipeline. The incoming Senior Software 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. A candidate who is interested in a career in data engineering will find abundant opportunities for growth at Antenna. You will report to the Principal Software Engineer. 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).


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