Senior Data Engineer

We are looking for a thoughtful and highly capable Senior Data Engineer to join GiveCampus and help scale and evolve our data platform. You will sit at the center of our data ecosystem, building the models, pipelines, and semantic layers that power decision-making across the company. As a key member of the team, you’ll partner closely with stakeholders across BI, Product, and Data Science to deliver reliable, high-quality data and unlock new capabilities—including LLM-driven features. You’re someone who enjoys turning complex business needs into elegant data solutions, thrives in a fast-moving environment, and is excited to have a meaningful impact.

Responsibilities will include:

• Partnering with BI to design, build, and iterate on analytics models in Snowflake using dbt
• Owning the end-to-end lifecycle of data models, from intake and development to testing, deployment, and documentation
• Translating business requirements into clean, performant SQL and dbt models that enable self-serve reporting
• Maintaining and improving our dbt project structure, testing framework, and CI/CD practices
• Monitoring pipeline health and serving as a first responder for data quality and freshness issues across Airbyte, Fivetran, Prefect, and Snowflake
• Managing existing data integrations and building new pipelines using Prefect for orchestration
• Improving data observability and alerting to ensure reliability and adherence to SLAs for business-critical reporting
• Building and maintaining semantic models in Snowflake that power LLM-driven product features
• Developing evaluation pipelines (including LLM-as-judge patterns) to monitor output quality and prevent degradation
• Collaborating with Data Science and ML teams to ensure clean, well-modeled data is available for training and inference workloads
• Leveraging AI-assisted development tools to improve speed and efficiency, and identifying opportunities to automate repetitive data engineering tasks

What we are looking for:

• Strong experience writing production-grade SQL and working with modern data warehouses (e.g., Snowflake)
• Hands-on experience with dbt for data modeling, testing, and documentation
• Familiarity with data pipeline and orchestration tools such as Prefect, Airbyte, or Fivetran
• Experience designing and maintaining reliable, scalable data systems with a focus on data quality and observability
• Ability to translate ambiguous business problems into structured data solutions
• Comfort working cross-functionally in a fast-paced, collaborative environment
• Experience supporting analytics, reporting, and/or machine learning use cases
• A proactive mindset with strong ownership and attention to detail

Bonus points if you have:

• Experience building semantic layers or data models that support AI/LLM applications
• Familiarity with evaluation frameworks for LLM outputs (e.g., LLM-as-judge patterns)
• Experience implementing CI/CD workflows for data projects
• Exposure to data observability tools and best practices
• Experience in a SaaS or mission-driven organization
• Interest in leveraging AI tools to accelerate development and improve workflows