WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Senior Backend Engineer

Urban, Ltd.
Jacksonville, FL, United States
4 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

Geographic Information Systems Application Programming Interfaces (APIs) Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Big Data Software Code Optimization Code Review Information Engineering Data Files Software Debugging Distributed Computing Environment
+27 more
Distributed Systems Design of User Interfaces Human-Computer Interaction Identity and Access Management Python (Programming Language) Performance Tuning Systems Development Life Cycle Parquet Data Processing Scripting Backend Cloudformation Pandas Build Management Containerization Pyspark Kubernetes Deployment Automation Dask Apache Kafka Data Management Front End Software Development Terraform Stream Processing Data Pipelines Docker Databricks

Job description

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

Requirements

Machine Tool, Data Management, Application Programming Interface (API), Scalable System Development, Data Sets, Python Programming/Scripting Language, Big Data, Performance Tuning/Optimization, Data Processing, User Interface/Experience (UI/UX), * 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…