Remote Geospatial Data Engineer – Pipelines & ML

Urban SDK

United States

Remote

USD 80,000 - 110,000

Full time

14 days+
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Benefits offered by this job

21 Days Vacation
Annual Bonus
Office Lunch provided Daily

Job summary

A geospatial technology firm is seeking a skilled Data Engineer to design and maintain scalable data pipelines that support its traffic analytics applications. The role requires strong proficiency in Python and hands-on experience with Databricks and AWS S3, alongside a solid background in data engineering practices. You will collaborate with cross-functional teams to ensure efficient data workflows and optimize processing strategies for high-volume datasets. This full-time position is available remotely or from Jacksonville, FL.

Qualifications

  • 3+ years of experience as a data engineer or in a similar role.
  • Strong proficiency in Python and associated libraries for data engineering.
  • Hands-on experience with Databricks and Spark for large-scale data processing.
  • Experience with AWS services, especially S3.

Responsibilities

  • Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks.
  • Manage large-scale geospatial and temporal datasets stored in AWS S3.
  • Collaborate with data scientists to productionize machine learning models.

Skills

Python
Databricks
AWS S3
SQL
NoSQL
Data Engineering Practices
ETL/ELT Workflows

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Tools

PySpark
Docker
Kubernetes
PostGIS
Prefect

Job description

A geospatial technology firm is seeking a skilled Data Engineer to design and maintain scalable data pipelines that support its traffic analytics applications. The role requires strong proficiency in Python and hands-on experience with Databricks and AWS S3, alongside a solid background in data engineering practices. You will collaborate with cross-functional teams to ensure efficient data workflows and optimize processing strategies for high-volume datasets. This full-time position is available remotely or from Jacksonville, FL.
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