Radar

Senior / Staff Data Platform Engineer

Radar
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12 months ago
Remote, United States or New York, NY, USASenior / Staff+
H1B sponsor

Base Salary

$200k - $300k/yr

Responsibilities

  • Work on Radar’s core data infrastructure and help determine which parts of the current stack should be replaced.
  • Improve the existing data platform through incremental changes and deploy next-generation infrastructure.
  • Talk with Radar customers and prospects, incorporate their feedback, and help make them successful.

Requirements

  • Experience building data infrastructure.
  • Experience with some of Radar’s current data stack and several of Snowflake, ClickHouse, Databricks, Dynamo, dbt, or similar tools.
  • Interest in talking with customers or prospects and helping them succeed.
  • Deep curiosity, tenacity, and willingness to work through difficult technical problems.
  • Former technical co-founder experience is a bonus.
  • Experience building end-to-end customer-facing analytics, real-time streaming solutions, or systems using cold and hot storage is a bonus.

Benefits

  • Remote in the US or work from the NYC HQ in Flatiron, Manhattan
  • 401(k) plan with 4% match
  • Meaningful stock options
  • Top-notch equipment
  • Catered lunches
  • Unlimited PTO
  • Health, dental, and vision insurance with 100% employee coverage
  • 12 weeks of paid parental leave
  • Commuter and fitness benefits

Tech Stack

Apache AirflowClickHouseDatabricksdbtKubernetesMetabaseMongoDBPythonRedisRustSnowflakeTerraformTypeScript

Categories

BackendData EngineeringDevOps
Radar

About Radar

11-50 employees

Radar builds a location platform for businesses, offering geofencing SDKs, maps APIs, and AI-enabled tools used by marketing, operations, and risk teams. Its SaaS products include Radar Protect, which provides geo-compliance and fraud detection for industries such as gaming, fintech, marketplaces, on-demand, and e-commerce. Founded in 2016 and headquartered in New York City, the company sells usage-based APIs and software to product and data teams.

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