← Back to all jobs

ANTENNA

Senior Data Engineer

Remote / Full Time

February 24

At ANTENNA, we’re building measurement & analytics tools for subscription businesses. In this new world of subscriptions, companies must focus on new success metrics like Sign-ups, Trial Conversion, Churn Rate, and Retention. But, given the lack of data transparency, it’s hard to know “what good looks like” in today’s world. ANTENNA provides best-in-class competitive intelligence that allows Subscription businesses to better decide where to focus their resources and better make key strategic decisions.


We’re looking for a Senior Data Engineer to take our MVP and build it into a best-in-class solution. In this role, you’ll be expected to ensure our data sources, pipeline, and analysis tools are working well and constantly evolving – and operate with a lot of autonomy.


Who You Are

  • You love data – and enjoy pushing the boundaries of what insights can be gleaned from it.
  • Proficiency in Python / Django / PostgreSQL.
  • Proficiency in Google Cloud Platform.
  • Proficiency in Kubernetes and Docker is a plus.
  • Strong background in distributed data processing (e.g. Spark), software engineering design, and data modeling concepts.
  • Basic front end knowledge (e.g. HTML, JavaScript).
  • 5+ years of experience building complex data pipelines and data products.
  • Experience with business intelligence (BI) products and deploying machine learning models is a plus.
  • Quick to pick up new technologies.
  • Strong in written and verbal communication.


What You’ll Do

  • Create reliable data pipelines and build intuitive data products that allow our Data Analysts and Data Scientists to easily leverage data in a self-service manner.
  • Design, build, and deploy streaming and batch data pipelines capable of processing and storing data quickly and reliably.
  • Integrate with a variety of data sources such as email receipt data, credit card data, and more.
  • Ensure data quality and build tools to detect and alert our team of any anomalies.
  • Maintain an efficient data infrastructure.

Made by Hyperplane