Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead multiple Scrum teams by coaching them in Lean-Agile principles, facilitating sprint ceremonies, and managing program increments. Collaborate with cross-functional teams to achieve project goals and improve operational efficiency.

The Functional Test Lead will manage a team to develop and execute test strategies, ensuring software quality through functional testing and test automation.

The role involves developing training material, supporting threat modeling for applications, collaborating with InfoSec teams, and contributing to security strategies and roadmaps.

Lead the development of data pipelines and transformations in Azure Databricks, converting Scala programs to PySpark while leveraging various Azure technologies.

This role involves designing automation strategies, supporting delivery efforts, participating in code reviews, and advising on test automation best practices.

Provide post-production support for Workday HCM, assist clients with implementations, manage client relationships, and mentor team members.

The Big Data Lead will manage database development, ETL/ELT processes, and data warehousing, optimizing performance and ensuring data pipelines work reliably.

Serve as a Workday functional SME for Finance and HR: gather client requirements, configure Workday Financials and HR modules, conduct testing and UAT, lead training, provide post-implementation support, perform fit-gap analysis and change management, document solutions, and collaborate on integrations and project delivery.

Develop, test, and maintain applications using Java, Python, or Node.js. Write clean, efficient code, debug and optimize, collaborate with cross-functional teams, use data structures/algorithms, work with SQL/NoSQL databases, participate in code reviews, and stay current on AI/ML concepts, agents, and automation tools.

Design, build, and optimize end-to-end ETL/ELT pipelines using Python and PySpark for large structured and unstructured datasets. Ensure data quality through validation and reconciliation, troubleshoot performance issues, implement CI/CD and code review practices, and collaborate with IT and business stakeholders to translate requirements into scalable data solutions.