Design, implement, and maintain Python backend services and scalable data pipelines using dataframes, Parquet, and Databricks. Optimize distributed processing, build APIs, ensure data quality and observability, and mentor engineers.
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 PeopleWe 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 hiring a Senior Backend Engineer to design and build scalable data-intensive systems using Python and modern big data tooling. You will work on data pipelines, APIs, and backend services that process large datasets using dataframes, Parquet, and Databricks, enabling analytics and visualization products at scale. This role is ideal for someone who enjoys working close to data, cares deeply about performance and reliability, and can own backend systems end-to-end.
- Design, implement, and maintain backend services and data pipelines using Python
- Work extensively with dataframes (Pandas, PySpark, or similar) to process large datasets
- Build and optimize data pipelines using Parquet and columnar storage formats
- Develop and maintain workflows on Databricks
- Optimize performance for large-scale, distributed data processing
- Design and maintain APIs that support data-heavy applications
- Collaborate closely with front-end, data, and product teams
- Ensure data quality, reliability, and observability
- Participate in architectural decisions and technical planning
- Mentor other engineers and lead code reviews
- 5+ years of backend or data engineering experience
- Strong proficiency in Python
- Deep experience with dataframes (Pandas, PySpark, Dask, or similar)
- Hands-on experience with big data processing and distributed systems
- Strong experience working with Parquet and columnar data formats
- Experience using Databricks in production environments
- Solid understanding of data modeling, performance tuning, and memory optimization
- Experience building and maintaining APIs (REST and/or gRPC)
- Strong debugging, testing, and problem-solving skills
- Experience deploying and operating systems on AWS
- S3, EC2, EKS, Lambda, IAM, etc.
- Experience with infrastructure-as-code (Terraform, CloudFormation)
- Experience with containerization and deployment (Docker, Kubernetes)
- Familiarity with CI/CD pipelines and automated deployments
- Experience with streaming systems (Kafka, Kinesis)
- Background in analytics, geospatial data, or data platforms
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
Top Skills
Ci/Cd
CloudFormation
Dask
Databricks
Docker
Ec2
Eks
Grpc
Iam
Kafka
Kinesis
Kubernetes
Lambda
Pandas
Parquet
Pyspark
Python
Rest
S3
Terraform
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