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Radar LabsRadar Labs

Senior / Staff Data Platform Engineer

Builds and modernizes data platform infrastructure handling billions of API calls using tools like Kinesis, S3, Athena, and Airflow. Collaborates with customers to incorporate feedback and requires experience with data stacks including Snowflake or Databricks.

About the job

Responsibilities

  • Work on core Radar data infrastructure built with Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, and MongoDB (some of these need to be replaced - you'll help figure out what that looks like).
  • Improve our current data platform via incremental improvements and deploying next generation infra to level up our stack.
  • Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful.

Requirements

  • Have experience building data infrastructure.
  • Besides experience with some of our current data stack, have experience with several of Snowflake, Clickhouse, Databricks, Dynamo and dbt or similar tools.
  • Are interested in talking to customers or prospects and making them successful.
  • Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them.

Nice-to-haves

  • Are a former technical co-founder.
  • Have experience building end-to-end customer facing analytics, real-time streaming solutions, leveraging cold and hot storage to achieve product goals.

Compensation

  • Base salary range: $200,000 - $300,000/year.
  • Opportunity for performance bonuses and incentives.
  • Stock option grants.
  • 401(k) with 4% match.
  • Health, dental, vision insurance (100% coverage).
  • Unlimited PTO, 12 weeks paid parental leave, commuter/fitness benefits.

Skills

Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, MongoDB, Snowflake, ClickHouse, Databricks, DynamoDB, dbt

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