Senior Python Data Platform Engineer - Remote

Urban SDK; United States; Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

21 days vacation

Office lunch provided daily

Job summary

A tech company specializing in geospatial AI is looking for a Senior Backend Engineer to design and build scalable systems. The role involves working with data pipelines, APIs, and large datasets using Python, Databricks, and Parquet. Candidates should have over 5 years of experience and a strong command of backend engineering and data processing. This position offers a flexible remote option and a comprehensive benefits package including annual bonuses and vacation days.

Qualifications

• 5+ years of backend or data engineering experience required.
• Strong proficiency in Python is essential.
• Experience with dataframes like Pandas or PySpark is crucial.
• Familiarity with developing APIs (REST or gRPC) is a must.
• Hands-on experience with big data processing is needed.

Responsibilities

• Design, implement, and maintain backend services using Python.
• Work with dataframes to process large datasets.
• Build and optimize data pipelines with Parquet.
• Develop workflows on Databricks.
• Ensure data quality and reliability.

Skills

Backend engineering

Python

Data engineering

Dataframe processing

Performance tuning

Tools

Pandas

PySpark

Databricks

Parquet

AWS

Job description

A tech company specializing in geospatial AI is looking for a Senior Backend Engineer to design and build scalable systems. The role involves working with data pipelines, APIs, and large datasets using Python, Databricks, and Parquet. Candidates should have over 5 years of experience and a strong command of backend engineering and data processing. This position offers a flexible remote option and a comprehensive benefits package including annual bonuses and vacation days.