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)

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

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.

• 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 elevate issues
• Contribute to CI/CD pipelines, code quality, and security remediation
• Mentor team members and collaborate within Agile environments

• 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

• 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

• SQL
• Python
• Py Spark
• Data Pipelines / Big Data Processing

• 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

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