Senior Backend Engineer

Role overview Own the design and delivery of backend services and data pipelines that process large datasets for analytics and visualization applications. The work is strongly data-focused, using Python, distributed processing, and columnar storage, with responsibility for performance, reliability, and APIs end to end.

Responsibilities - Build and maintain Python backend services and data pipelines. - Process large datasets with dataframe tools such as Pandas, PySpark, or Dask. - Develop and tune Databricks workflows and pipelines using Parquet and other columnar formats. - Improve performance and resource use in distributed data processing. - Design and maintain REST or gRPC APIs for data-heavy applications. - Work with product, front-end, and data teams to protect data quality and observability; contribute to architecture, reviews, and mentoring.

Requirements - At least five years of backend or data engineering experience. - Strong Python proficiency and substantial experience with dataframe libraries. - Practical experience with distributed systems and large-scale data processing. - Strong knowledge of Parquet or comparable columnar formats, plus production Databricks experience. - Understanding of data modeling, performance tuning, and memory optimization. - Experience building APIs, with strong debugging, testing, and problem-solving skills.

Nice to have - Experience operating systems on AWS, using infrastructure-as-code, or deploying with Docker and Kubernetes. - Familiarity with CI/CD, streaming systems such as Kafka or Kinesis, or analytics, geospatial, and data platform work.

Benefits and work setup Full-time position, based in Jacksonville, Florida, or remote. The stated package includes an experience-based salary, annual bonus, medical, dental and vision coverage, a 401(k), 21 vacation days, and lunch at the office.