Data Engineer
Urban SDK Remote, US
Pay not stated
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About the role
About Urban SDK
Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission-critical decisions. We equip critical public services with geospatial AI, enabling precise, data-driven decisions with efficiency and confidence.
Our Commitment to People
We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.
About the role
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring.
Responsibilities
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.
Qualifications
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.
Preferred Skills
Familiarity with geospatial data formats and processing (GeoJSON, Shapefiles, PostGIS).
Experience with workflow orchestration tools (Databricks, Prefect, or similar).
Knowledge of containerization (Docker/Kubernetes) and cloud-native data solutions.
Experience supporting machine learning pipelines in production.
Compensation
Location: Jacksonville, FL (Town Center Area) or Remote
Type: Full-time
Reports to: Director of Engineering
Salary Based on Experience
Annual Bonus
Medical, Vision, Dental, 401(k)
21 Days Vacation
Office Lunch provided Daily
Posting text as published by Urban SDK.
The evidence behind this listing
- Workplace
- Remote Employer field
- Seniority
- Not established
- Employment type
- full time
- Location as listed
- Remote, US
- Technology
- pythondatabrickss3awssqlnosqlpandaspyspark
Pay and work authorization
- Stated pay
- Not stated
- Visa sponsorship
- Not stated
- Security clearance
- Not required
- Citizenship
- Not required