Senior Software Engineer (Python)

About this role

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 ...