Software Engineer

Overview

On Site
USD 53.00 - 57.00 per hour
Full Time

Skills

Big Data
Accountability
PySpark
Amazon S3
Storage
Data Modeling
Data Architecture
Management
Dashboard
Microsoft Power BI
Unix
Shell
Scripting
Continuous Integration
Continuous Delivery
Collaboration
Workflow
Conflict Resolution
Problem Solving
Military
Extract
Transform
Load
Python
Apache Spark
Apache Hadoop
Apache Hive
SQL
CA Workload Automation AE
Job Scheduling
Database Design
MySQL
Google Cloud
Google Cloud Platform
Cloud Computing
Data Engineering
Financial Services
Communication
Articulate
Privacy
Marketing

Job Details

Location: Chandler, AZ
Salary: $53.00 USD Hourly - $57.00 USD Hourly
Description:
Job Title: Data Engineer (Contract)
Location: Chandler, AZ (Hybrid - 3 days/week onsite)
Duration: 24-month contract with potential for full-time conversion

About the Role

We are seeking a highly motivated and experienced Data Engineer to join our engineering team as part of a pilot program. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and solutions using modern big data technologies. You will work closely with engineering leads and cross-functional teams to transform raw data into actionable insights.

This is a hands-on engineering role requiring strong technical expertise, accountability, and a proactive mindset.
Key Responsibilities
  • Design and develop robust data pipelines using technologies such as Hadoop, Hive, PySpark, and Python
  • Integrate and manage data services with Amazon S3, ensuring secure and efficient object storage
  • Perform data modeling and database design to support scalable data architecture
  • Implement and manage job scheduling using Autosys
  • Develop and maintain dashboards and data visualizations using Power BI and Dremio
  • Write and maintain Unix shell scripts and contribute to CI/CD pipelines
  • Collaborate with stakeholders to understand data requirements and deliver high-quality solutions
  • Troubleshoot and optimize data workflows and transformations
  • Participate in technical assessments and problem-solving discussions
Preferred Qualifications
  • 4+ years of hands-on experience in software/data engineering or equivalent (e.g., consulting, military, education)
  • Strong understanding of data pipeline architecture, ETL processes, and data transformation logic
  • Proficiency in Python, Spark, Hadoop/Hive, and SQL
  • Experience with Autosys job scheduling and automation
  • Solid foundation in database design (e.g., MySQL or similar)
  • Exposure to Google Cloud Platform (Google Cloud Platform) or other cloud data engineering tools is a plus
  • Familiarity with financial services or domain-specific data is advantageous but not required
  • Excellent communication skills and ability to articulate technical work clearly

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Contact:

This job and many more are available through The Judge Group. Please apply with us today!
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About Judge Group, Inc.