
11 - 50 employees
Founded 2018
💼 Consulting
📦 Logistics
🏥 Healthcare
💰 $977.5k Venture Round - Urban SDK on 2024-09
Consulting • Logistics • Healthcare
Urban SDK is a SaaS company providing geospatial AI and roadway analytics to public-sector organizations and transportation agencies. Its platform ingests location and traffic data to produce hourly speed, travel time delay, volume, road inventory, and collision-risk analytics, enabling public safety, public works, transit agencies, and emergency managers to prioritize resources, automate workflows, and respond faster to safety and disaster events.
🕒 February 25
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11 - 50 employees
Founded 2018
💼 Consulting
📦 Logistics
🏥 Healthcare
💰 $977.5k Venture Round - Urban SDK on 2024-09
Consulting • Logistics • Healthcare
Urban SDK is a SaaS company providing geospatial AI and roadway analytics to public-sector organizations and transportation agencies. Its platform ingests location and traffic data to produce hourly speed, travel time delay, volume, road inventory, and collision-risk analytics, enabling public safety, public works, transit agencies, and emergency managers to prioritize resources, automate workflows, and respond faster to safety and disaster events.
• Design, implement, and maintain backend services and data pipelines using Python • Work extensively with dataframes (Pandas, PySpark, or similar) to process large datasets • Build and optimize data pipelines using Parquet and columnar storage formats • Develop and maintain workflows on Databricks • Optimize performance for large-scale, distributed data processing • Design and maintain APIs that support data-heavy applications • Collaborate closely with front-end, data, and product teams • Ensure data quality, reliability, and observability • Participate in architectural decisions and technical planning • Mentor other engineers and lead code reviews
• 5+ years of backend or data engineering experience • Strong proficiency in Python • Deep experience with dataframes (Pandas, PySpark, Dask, or similar) • Hands-on experience with big data processing and distributed systems • Strong experience working with Parquet and columnar data formats • Experience using Databricks in production environments • Solid understanding of data modeling, performance tuning, and memory optimization • Experience building and maintaining APIs (REST and/or gRPC) • Strong debugging, testing, and problem-solving skills
• Annual Bonus • Medical, Vision, Dental, 401(k) • 21 Days Vacation • Office Lunch provided Daily
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