Top Tech Jobs & Startup Jobs in Charlotte, NC

Provide technical support for business applications, monitor system performance, support business and financial reporting, query and validate data with SQL, assist with data pipelines and basic bug fixes, use Git for version control, work with Azure and Excel/XLSX, and collaborate with technical and business stakeholders.

The Full Stack Engineer will optimize cloud infrastructure, develop and maintain hybrid mobile applications, and enhance backend systems using Java and Spring Boot.

Lead and improve engineering practices for a global pricing platform: design and build scalable Java Spring Boot microservices and React frontends, own APIs and data integrations (Kafka, BigQuery), mentor engineers, drive testability, CI/CD, observability, and adoption of AI-assisted development workflows.

Own quality for a large mobile platform through hands-on exploratory/manual testing and automation advocacy. Shift testing left with dev/product/design, build and scale automation frameworks (Appium/Java/Cucumber), push coverage into unit/component/contract layers, use AI-augmented tooling for test design and triage, and influence distributed teams to increase automation and improve QA processes.

Work with clients to gather and document requirements, rapidly prototype solutions (including AI tools), present and iterate on designs, bridge business and technical teams, collect user feedback, and support product quality and decision-making.

Design, build, and maintain end-to-end batch and streaming data pipelines; develop ETL/ELT workflows and modular Python code; write and optimize SQL; implement analytics data models; monitor data quality, troubleshoot failures, and document pipelines; collaborate with stakeholders and mentor teammates. Remote role for candidates based in Latin America.

Designs, builds, and maintains scalable batch and streaming data pipelines, ETL/ELT workflows, data models, and Python transformations. Writes optimized SQL, monitors pipeline reliability, troubleshoots failures, implements data-quality validation, and supports security and governance practices. Collaborates with engineers, analysts, stakeholders, and clients to define data contracts, improve platforms, document lineage, and deliver reliable analytics data.

Own the technical direction, architecture, and delivery of an LLM-powered chatbot. Lead agent workflows, tool integrations, memory strategies, prompt engineering, evaluation, reliability, scalability, and cost optimization. Mentor engineers, coordinate complex initiatives, collaborate with product stakeholders, and translate ambiguous business needs into effective AI solutions while exploring emerging AI techniques.

Participate in a practical internship developing web, mobile, and digital applications. Build software development skills, apply programming logic to solve business problems, learn software architecture concepts, and collaborate in agile environments alongside experienced professionals on real-world projects.

Participate in an internship focused on database modeling and optimization, data analysis and consolidation, data quality, and data support. Work alongside experienced professionals on real-world projects while developing technical and professional skills. The program requires prior knowledge of data concepts, spreadsheets, databases, programming logic, and analytical problem-solving.