Geospatial Data Engineer - AWS & PySpark (Hybrid)

Pacer Group; Charlotte (NC); Hybrid; USD 95,000 - 116,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

Pacer Group is seeking an experienced AWS Data Engineer to design and optimize geospatial data solutions using AWS, PySpark, and Python. You will solve complex spatial analytics and scalable data pipeline challenges to support location intelligence and urban initiatives.

Hybrid role in Charlotte, NC with contract-length of 3+ years. Strong focus on scalable data processing and secure hosting of geospatial workloads on AWS.

Qualifications

• Spatial analytics expertise in geospatial data processing.

Responsibilities

• Design scalable geospatial data pipelines on AWS.
• Develop PySpark-based data workflows for location intelligence.
• Create reusable Python modules for spatial computations and coordinate transformations.
• Configure AWS services for secure, cost-efficient hosting of geospatial solutions.
• Optimize geospatial queries and indexing for maps, dashboards, and APIs.

Skills

Spatial Analytics

Tools

AWS

PySpark

Python

Job description

Pacer Group is seeking an experienced AWS Data Engineer to design and optimize geospatial data solutions using AWS, PySpark, and Python. You will solve complex spatial analytics and scalable data pipeline challenges to support location intelligence and urban initiatives.

Hybrid role in Charlotte, NC with contract-length of 3+ years. Strong focus on scalable data processing and secure hosting of geospatial workloads on AWS.