Data Engineer

🕒 February 25

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Urban SDK

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms. • Manage large-scale geospatial and temporal datasets stored in AWS S3. • Collaborate with data scientists to productionize machine learning models and ensure smooth data availability. • Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability. • Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently. • Develop and maintain documentation for data workflows, architecture, and processes. • Work closely with cross-functional teams to understand data requirements and ensure timely delivery. • Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. • 3+ years of experience as a data engineer or in a similar role. • Strong proficiency in Python and associated libraries for data engineering (pandas, PySpark, etc.). • Hands-on experience with Databricks and Spark for large-scale data processing. • Experience with AWS services, especially S3, and knowledge of cloud-based data architectures. • Solid understanding of data pipeline testing, version control, and CI/CD practices. • Experience with SQL and NoSQL databases. • Strong problem-solving skills and attention to detail.

🏖️ Benefits

• Annual Bonus • Medical, Vision, Dental • 401(k) • 21 Days Vacation • Office Lunch provided