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Software Engineer 3

Judge Group, Inc.Charlotte, NC🇺🇸United StatesPosted 20 Jul 2026

Why This Role Stands Out

This hybrid Software Engineer role offers an excellent opportunity to modernize critical data platforms and lead migration initiatives, with competitive hourly compensation between $53-$57. You'll thrive here if you possess strong ETL, Ab Initio, PySpark, and Python skills and enjoy collaborative problem-solving in an Agile environment. Apply now to leverage your data engineering expertise and contribute to impactful projects.

Quick Overview

Salary
$53 - $57/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Location: Charlotte, NC Salary: $53.00 USD Hourly - $57.00 USD Hourly Description: Our client is currently seeking a ETL Ab Initio Production Support and Engineering candidate.

We are not considering Corp to Corp or 1099 candidates for this role

Software Engineer - ETL / Data Engineering (Ab Initio, PySpark, Python, Oracle)

Location: Charlotte, NC 28202 or Charlotte, NC 28262 (Hybrid)
Duration: 12+ Month Contract (Potential Extension)
Employment Type: W2 Contract
About the Role

We are seeking a Senior Software Engineer with deep expertise in ETL development, data integration, and large-scale data processing. This role will focus on supporting existing enterprise data platforms, modernizing legacy ETL solutions, and leading migration initiatives from Ab Initio to PySpark-based frameworks. The ideal candidate brings strong technical expertise in Python, Oracle Database, and data engineering best practices while operating effectively within an Agile environment.

This position requires a hands-on engineer who can partner with business and technology stakeholders to design, build, optimize, and support enterprise data solutions that are scalable, reliable, and aligned with strategic modernization objectives.
Responsibilities
  • Design, develop, maintain, and enhance enterprise ETL and data integration solutions.
  • Provide production support for critical data processing applications, including incident resolution, troubleshooting, and root cause analysis.
  • Develop and optimize data pipelines using Ab Initio, PySpark, Python, and Oracle technologies.
  • Analyze existing ETL workflows and recommend modernization opportunities.
  • Lead migration efforts from legacy ETL frameworks, including Ab Initio, to modern PySpark-based architectures.
  • Collaborate with business analysts, architects, data engineers, and application teams to gather requirements and deliver high-quality solutions.
  • Create technical design documentation, support procedures, and operational runbooks.
  • Ensure data quality, performance optimization, and adherence to enterprise standards.
  • Participate in Agile ceremonies, sprint planning, code reviews, and release activities.
  • Utilize AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or equivalent solutions to improve productivity, code quality, testing, and documentation.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
  • 4+ years of experience in ETL development, data integration, or data engineering.
  • Hands-on experience with:
    • Ab Initio
    • PySpark
    • Python
    • Oracle Database
  • Strong SQL development and query optimization skills.
  • Experience supporting enterprise-scale batch and data processing applications.
  • Experience with production support, issue triage, incident management, and root cause analysis.
  • Knowledge of software development lifecycle (SDLC) processes and best practices.
  • Excellent analytical, troubleshooting, and communication skills.
Preferred Qualifications
  • Experience migrating ETL workloads from legacy platforms to modern data engineering frameworks.
  • Experience with cloud-based data platforms and distributed data processing environments.
  • Knowledge of DevOps practices, CI/CD pipelines, source control systems, and automated testing.
  • Experience working in Agile/Scrum delivery models.
  • Familiarity with data governance, data quality, and operational excellence practices.
  • Experience leveraging AI-powered development and productivity tools.
  • Ability to work independently while effectively collaborating across cross-functional teams.
Required Technical Skills
ETL & Data Engineering
  • ETL Development
  • Data Integration
  • Data Pipeline Design
  • Data Transformation
  • ETL Modernization
Programming & Databases
  • PySpark
  • Python
  • Oracle Database
  • SQL
Platforms & Tools
  • Ab Initio
  • Git/Version Control
  • CI/CD Tools
  • AI-Assisted Development Tools
Methodologies
  • Agile/Scrum
  • Production Support
  • Incident Management
  • Root Cause Analysis
Nice-to-Have Skills
  • Hadoop Ecosystem
  • Spark Optimization
  • AWS, Azure, or Google Cloud Platform
  • Data Warehousing Concepts
  • Performance Tuning
  • Automated Testing Frameworks


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Contact:
This job and many more are available through The Judge Group. Please apply with us today!

Skills

Oracle
SQL
AWS
ETL
Scrum
Agile
Azure
Data Pipeline
Git
Google Cloud
Hadoop
Python

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