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