Job Title: Senior Backend Engineer

Company Name: Urban SDK

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/bthib6i60vq0znp2

Job Description: Posted 2mo agoSenior Backend Engineer@ Urban SDKView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Design backend, Build data pipelines, Develop APIsRequirements Summary:5+ years of backend or data engineering; strong Python; experience with dataframes (Pandas, PySpark, Dask); big data processing; Parquet; Databricks; API development.Technical Tools Mentioned:Python, Pandas, PySpark, Dask, Databricks, Parquet, REST, gRPC, AWS
About the roleWe 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.ResponsibilitiesDesign, implement, and maintain backend services and data pipelines using PythonWork extensively with dataframes (Pandas, PySpark, or similar) to process large datasetsBuild and optimize data pipelines using Parquet and columnar storage formatsDevelop and maintain workflows on DatabricksOptimize performance for large-scale, distributed data processingDesign and maintain APIs that support data-heavy applicationsCollaborate closely with front-end, data, and product teamsEnsure data quality, reliability, and observabilityParticipate in architectural decisions and technical planningMentor other engineers and lead code reviewsRequired Qualifications5+ years of backend or data engineering experienceStrong proficiency in PythonDeep experience with dataframes (Pandas, PySpark, Dask, or similar)Hands-on experience with big data processing and distributed systemsStrong experience working with Parquet and columnar data formatsExperience using Databricks in production environmentsSolid understanding of data modeling, performance tuning, and memory optimizationExperience building and maintaining APIs (REST and/or gRPC)Strong debugging, testing, and problem-solving skillsNice to HaveExperience deploying and operating systems on AWSS3, 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 deploymentsExperience with streaming systems (Kafka, Kinesis)Background in analytics, geospatial data, or data platformsCompensationLocation: Jacksonville, FL (Town Center Area) or RemoteType:  Full-timeReports to: Director of EngineeringSalary Based on Experience Annual BonusMedical, Vision, Dental, 401(k)  21 Days VacationOffice Lunch provided Daily