Senior Backend Engineer

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 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.

Responsibilities

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

Required Qualifications

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

Nice to Have

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

Originally posted on Himalayas