Senior Backend Engineer

urbansdk.com; Stati Uniti; Remoto; USD 120.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual bonus

Healthcare coverage (medical, dental,

401(k)

21 vacation days

Office lunch

Descrizione del lavoro

UrbanSDK.com seeks a senior backend/data engineer to own the design and delivery of Python backend services and data pipelines for analytics and visualization. You will process large datasets, optimize performance, and build APIs end-to-end for data-heavy applications.

The role supports Jacksonville, Florida or remote work, with an experience-based salary, annual bonus, and comprehensive benefits including medical, dental, vision, 401(k), and generous vacation.

Competenze

• 5+ 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.

Mansioni

• 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.

Conoscenze

Python proficiency

Dataframe libraries (Pandas/PySpark/Da

Distributed data processing

API design

Performance tuning

Strumenti

Databricks

Parquet

Descrizione del lavoro

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.

• experience-based salary
• annual bonus
• medical, dental and vision coverage
• a 401(k)
• 21 vacation days
• lunch at the office