Senior Backend Engineer
About reputed company
reputed company is shaping the reputed company of Smart Cities. We are reputed company in geospatial AI technology, providing public leaders with insights and automation for mission-critical reputed company. We reputed company critical public services with geospatial AI, enabling precise, data-driven reputed company with efficiency and confidence.
Our Commitment to People
We are committed to aligning business reputed company with reputed company reputed company for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will reputed company as a noted Best Places to Work.
About the role
We are hiring a Senior Backend Engineer to design and build reputed company data-intensive systems using Python and modern big data tooling. You will work on data pipelines, reputed company, and backend services that process large datasets using dataframes, Parquet, and reputed company, enabling analytics and visualization products at reputed company. This role is ideal for someone who enjoys working reputed company 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
- reputed company and maintain workflows on reputed company
- Optimize performance for large-reputed company, distributed data processing
- Design and maintain reputed company that support data-heavy applications
- Collaborate closely with reputed company-end, data, and product teams
- Ensure data reputed company, reliability, and observability
- Participate in architectural reputed company and technical planning
- Mentor other engineers and reputed company reputed company 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 reputed company in production environments
- Solid understanding of data modeling, performance tuning, and memory optimization
- Experience building and maintaining reputed company (REST and/or gRPC)
- Strong debugging, testing, and problem-solving skills
reputed company to Have
- Experience deploying and operating systems on AWS
- S3, EC2, EKS, reputed company, IAM, etc.
- Experience with infrastructure-as-reputed company (Terraform, CloudFormation)
- Experience with containerization and deployment (reputed company, 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, reputed company, Dental, 401(k)
- 21 Days Vacation
- Office Lunch provided Daily
Originally posted on Himalayas
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