Data Engineer
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Before you apply
LocationRemote (United States)
Also inJacksonville, FL (Town Center Area) or Remote
Work moderemote
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentR&D
Company size11–50 people
First seenOct 16, 2026 · 3w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
Databricks
S3
CI/CD
pandas
PySpark
Spark
AWS
SQL
NoSQL
Docker
Kubernetes
GeoJSON
Shapefiles
PostGIS
Prefect
Benefits
Health insurance
Vision insurance
Dental insurance
401(k)
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
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Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms.
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Manage large-scale geospatial and temporal datasets stored in AWS S3.
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Collaborate with data scientists to productionize machine learning models and ensure smooth data availability.
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Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
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Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently.
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Develop and maintain documentation for data workflows, architecture, and processes.
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Work closely with cross-functional teams to understand data requirements and ensure timely delivery.
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Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing.
Qualifications
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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
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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
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Location: Jacksonville, FL (Town Center Area) or Remote
•
Type: Full-time
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Reports to: Director of Engineering
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Salary Based on Experience
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Annual Bonus
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Medical, Vision, Dental, 401(k)
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21 Days Vacation
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Office Lunch provided Daily
About the company
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.