Senior Software Engineer - Data & Analytics

Senior Software Engineer Data & Analytics

Location

• Charlotte, NC (preferred)
• Dallas, TX (Irving) secondary option
• Hybrid (3 Days in and 2 days remote)

Duration

• 12-month contract (potential to extend) W2 ONLY NO C2C

Overview

We are seeking a Senior Software Engineer Data & Analytics to design and build scalable, enterprise-grade data pipelines. This role goes beyond hands-on development you will take full ownership of deliverables, proactively communicate risks, and drive initiatives from concept through production.

This is an ideal opportunity for engineers who thrive in fast-paced, large-scale environments and enjoy influencing architecture, improving performance, and leading through action.

Key Responsibilities

• Design, build, and maintain high-performance, scalable data pipelines
• Develop solutions using Python, PySpark, and SQL
• Own deliverables end-to-end: design, development, testing, and production support
• Translate business requirements into data-driven technical solutions
• Improve pipeline reliability, scalability, and performance
• Partner with product managers and cross-functional teams
• Proactively identify risks, communicate status, and escalate issues
• Contribute to CI/CD pipelines, code quality, and security remediation
• Mentor team members and collaborate within Agile environments

Required Qualifications

• 7+ years of experience in Software Engineering
• 4+ years building big data pipelines
• 4+ years of experience with:
  
  
  
  • Apache Spark (PySpark / Spark SQL)
  • Hive and Iceberg tables
  • SQL / SQL Server or other RDBMS
  
  
• Strong programming experience in:
  
  
  
  • Python
  • PySpark / Spark SQL
  • Scala
  • Bash / Shell scripting
  
  
• Experience with CI/CD pipelines, testing, and code quality practices
• 2+ years working in Agile (Scrum or SAFe) environments

Preferred Qualifications

• Experience in financial services or large enterprise environments
• Familiarity with:
  
  
  
  • REST APIs
  • Dremio
  • Object storage solutions
  
  
• Experience with streaming/event-driven architectures (Kafka)
• Workflow orchestration tools such as:
  
  
  
  • Airflow
  • Oozie
  • Autosys
  
  

Key Skills

• SQL
• Python
• PySpark
• Data Pipelines / Big Data Processing

What We re Looking For

• Strong communication skills clear, concise, and proactive
• Proven ability to own and drive projects to completion
• Self-starter who identifies issues and takes action
• Experience leading initiatives, not just executing tasks
• Comfortable working in enterprise-scale, fast-paced environments

Why Join

This role offers the opportunity to:

• Own impactful, large-scale data initiatives
• Influence architecture and engineering best practices
• Work in a highly collaborative, fast-moving environment
• Gain visibility with senior stakeholders