Data Engineer

Open Opportunities; United States; Remote; USD 110,000 - 140,000; Full time

Benefits offered by this job

Annual bonus

Medical, Vision, Dental, 401(k)

21 Days Vacation

Office lunch provided Daily

Remote-friendly environment

Job summary

Urban SDK is seeking a Data Engineer to design, build, and maintain scalable data pipelines for geospatial traffic analytics. You will work with Python, Databricks, and AWS S3 to productionize ML models and ensure data availability across teams.

The role emphasizes data quality, CI/CD, and modern data engineering practices, with collaboration across data science and engineering teams to deliver robust data products.

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 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.

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.

Skills

Python

Pandas

PySpark

SQL

NoSQL

Data quality monitoring

CI/CD

Problem solving

Attention to detail

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Databricks

Spark

AWS S3

Docker

Kubernetes

Job description

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