Posting record
Open 12+ days
- Urban Sdk's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Urban Sdk, so its true age is longer.
Last checked Nov 4, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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
Something wrong with this posting?