Senior Backend Engineer, Geospatial Data at Scale

Radar; United States; On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Stock options

401(k) plan with 4% match

New HQ in Flatiron, NYC

Top-notch equipment

Catered lunches

Unlimited PTO

Health, dental, and vision insurance

12 weeks of paid parental leave

Commuter benefits

Fitness benefits

Job summary

Radar is seeking a Maps Product Engineer to strengthen the data foundation behind our geocoding platform, operating at scale with over 1 billion API calls per day. You will own data modeling, ingestion, and serving, and may explore AI-driven enrichment within a robust data stack spanning Rust, Scala, Python, and Node.js/TypeScript.

Based in NYC with a fast-growing, high-performance culture, you will collaborate with customers, engineers, and product teams to expand data coverage and quality

Responsibilities

• Own the data foundation under the geocoder including how location data is modeled, kept consistent, and served reliably, working across Scala, Python, and Rust
• Build the pipelines that bring many commercial and open data sources together, expanding coverage and quality across US and international data
• Help bring LLMs and agents into the data layer for enrichment, labeling, and quality, with the guardrails to keep them trustworthy
• Range across the geocoding stack when the work calls for it, from the serving path in HorizonDB to the Node.js/TypeScript API
• Have your work power over 1 Billion API calls / day
• Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful

Job description

Radar is seeking a Maps Product Engineer to strengthen the data foundation behind our geocoding platform, operating at scale with over 1 billion API calls per day. You will own data modeling, ingestion, and serving, and may explore AI-driven enrichment within a robust data stack spanning Rust, Scala, Python, and Node.js/TypeScript.

Based in NYC with a fast-growing, high-performance culture, you will collaborate with customers, engineers, and product teams to expand data coverage and quality