About CData Software, Inc.

At CData, we believe data should work for people—and that starts with the team building the technology behind it. In a world where data is increasingly complex and distributed, we’re helping organizations bring clarity and connection through real-time data integration. Our products make it easier to access and work with data anywhere, empowering teams to focus on innovation instead of infrastructure.

More than 10,000 organizations worldwide rely on CData to power their most important business decisions. Behind that impact is a global team of passionate problem-solvers, engineers, and innovators who are redefining what’s possible in data connectivity.

Headquartered in Chapel Hill, North Carolina, CData has over 500 team members, with offices in North America, Europe, and Asia. We take pride not just in what we build, but in how we build it: together, with curiosity, creativity, and a shared drive to push boundaries.

Our AI Promise

As we look ahead, AI has become a central pillar of what we do. CData is evolving to be AI-native: we’re embedding advanced AI tools into our platform, including semantic layers that let the business side and technical side speak the same language, AI connectivity that enables real-time access to data from across your enterprise, and user-friendly, governed ways for teams to ask and act on business questions with conversational tools and intelligent agents.

If you want to work somewhere where your engineering, data, or product work directly enables organizations to turn ambiguous, siloed data into trusted intelligence—and where AI is not just hype, but deeply woven into our mission—CData is the place for you.

Role Description:

We are seeking an experienced Technical Support Engineer II engineer to help assist with technical issues through email, chat support, and on the phone. This position requires exceptional problem-solving skills as you will be tackling new and unique challenges every day with no set script to resolve an issue. The ability to research both alone and in a team to reproduce and debug customer issues is essential. As being the first point of contact of the company, applicants should have excellent communication skills as well as being able to quickly learn new topics. Programming knowledge is required as well as a bachelor's degree in a STEM field (Computer Science, Engineering, etc.).

Key Duties Responsibilities:

Responsibilities include but are not limited to:

• Diagnose and troubleshoot technical issues, including account setup and network configuration.
• Ask customers targeted questions to quickly understand the root of the problem.
• Track computer system issues through to resolution, within agreed time limits.
• Talk clients through a series of actions, either via phone, email, or chat, until they have solved a technical issue.
• Escalate ongoing support issues to higher management in the Technical Support or Engineering Department.
• Refer to internal or external resources to provide accurate tech solutions.
• Ensure all issues are properly logged.
• Prioritize and manage several open issues at one time.
• Prepare accurate and timely reports.
• Document technical knowledge in the form of notes and manuals.
• Perform basic code analysis or setup debug projects to troubleshoot low-level coding issues
• To understand customer requirements and design a mapping flow accordingly.

Requirements - Knowledge, Skills, & Experience:

• Excellent communication skills (both verbal and written).
• Exceptional problem-solving skills.
• Ability to read and write code to solve basic problems in at least 1 language.
• Ability to work independently and in a team.
• Experience with C# or Java or Python preferred but any other previous programming experience is a plus.
• A good understanding of relational databases.
• Strong Knowledge of SQL concepts such as JOIN, aggregation, etc.
• Having experience in any Linux environment, Cloud infrastructure, DevOps is a plus.
• Have 2 to 3 years of experience in a client-facing (Technical) role.
• Knowledge about data models and querying.
• Able to prioritize projects/tasks based on the SLAs and Client Requirements.
• Solid understanding of APIs