Software Engineer, Data Engineering, SQL Developer

Position: Software Engineer 3
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 Git Hub 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
  • Py Spark
  • 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 Dev Ops 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

• Py Spark
• 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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