Data Engineer

Urban SDK; United States; Remote; USD 80,000 - 110,000; Full time

Benefits offered by this job

21 Days Vacation

Annual Bonus

Office Lunch provided Daily

Job summary

A geospatial technology firm is seeking a skilled Data Engineer to design and maintain scalable data pipelines that support its traffic analytics applications. The role requires strong proficiency in Python and hands-on experience with Databricks and AWS S3, alongside a solid background in data engineering practices. You will collaborate with cross-functional teams to ensure efficient data workflows and optimize processing strategies for high-volume datasets. This full-time position is available remotely or from Jacksonville, FL.

Qualifications

• 3+ years of experience as a data engineer or in a similar role.
• Strong proficiency in Python and associated libraries for data engineering.
• Hands-on experience with Databricks and Spark for large-scale data processing.
• Experience with AWS services, especially S3.

Responsibilities

• Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks.
• Manage large-scale geospatial and temporal datasets stored in AWS S3.
• Collaborate with data scientists to productionize machine learning models.

Skills

Python

Databricks

AWS S3

SQL

NoSQL

Data Engineering Practices

ETL/ELT Workflows

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Tools

PySpark

Docker

Kubernetes

PostGIS

Prefect

Job description

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
• 21 Days Vacation
• Office Lunch provided Daily

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.