Senior Backend Engineer

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