AWS Data Engineer with Python & PySpark

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

Job Title: AWS Data Engineer with Python & PySpark

Location: Charlotte, NC 28202

Work Arrangement: Hybrid

Employment Type: Contract

Duration: 3+ Year

Pay Rate: $69.00/hr W2 | $84.00/hr C2C

Application Deadline: August 24, 2026

SKILLS REQUIRED

Primary (Must-Have):

Secondary (Good to Have):

• Spatial Analytics | Spatial Indexing & Coordinate Transformations

POSITION OVERVIEW

Seeking an experienced Data Engineer within the Geospatial Analytics Department reporting to the Director of Cloud Engineering to design, build, and optimize cloud-based geospatial data solutions using AWS, PySpark, and Python. This role solves complex spatial analytics and scalable data pipeline challenges to support location intelligence, business decisions, and sustainable urban and environmental initiatives.

ROLES & RESPONSIBILITIES

• Design and implement scalable geospatial data pipelines on AWS that ingest, transform, and store complex spatial datasets to enable reliable analytics.
• Develop and maintain high-performing PySpark-based data workflows that process large volumes of location intelligence data and deliver accurate outputs for mapping platforms.
• Create efficient Python modules and reusable libraries that handle spatial computations, coordinate transformations, and geospatial business rules.
• Configure and manage AWS services for data storage, computation, and orchestration to ensure secure, resilient, and cost-efficient hosting of geospatial solutions.
• Optimize geospatial queries and spatial indexing strategies to improve the performance of interactive maps, dashboards, and APIs.

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.