GiveCampus
Senior Data Engineer
Edtech.com's Summary
- Design, build, and iterate on analytics models using Snowflake and dbt.
- Own the full lifecycle of data models from development to deployment and documentation.
- Maintain data pipeline health and respond to data quality issues using Airbyte, Fivetran, Prefect, and Snowflake.
- Develop semantic models powering AI/LLM product features and evaluation pipelines for output quality.
- Collaborate with BI, Product, and Data Science teams to deliver data supporting reporting, machine learning, and inference workloads.
- Proficient in SQL, Snowflake, dbt, and familiar with data orchestration tools like Prefect, Airbyte, or Fivetran.
- Experience designing scalable, reliable data systems emphasizing data quality and observability.
- Bonus skills include building semantic layers for AI applications, LLM evaluation frameworks, CI/CD workflows, and data observability tools.
- Works in a mission-driven organization focused on fundraising for educational institutions.
- Supports remote work with expected participation in periodic on-site meetings.
Senior Data Engineer Full Description
GiveCampus is the world's leading fundraising platform for non-profit educational institutions. Trusted by 1,300+ colleges, universities, and K-12 schools, our mission is to help advance the quality, the affordability, and the accessibility of education. We received a seed investment from Y Combinator in 2015 and have pursued a strategy of 'Sustainable Growth' ever since: achieving six consecutive years of profitability and positive cash-flow while more than quadrupling our revenue, our customer base, and our team. In 2022, we raised $50 million to accelerate the next stage of our growth.
Through The GiveCampus Social Mobility Initiative, we've donated $1 million in free fundraising support for programs that help low-income students, first-generation students, and underrepresented minorities. And in 2022 and 2023, we were named to Y Combinator's Top Companies list and the Inc. 5000 list of America's fastest-growing private companies.
While we operate at meaningful scale (we've facilitated more than $6 billion in charitable giving), weâre still small relative to the commercial and social good opportunities in front of us. Every GiveCampus employee has a substantial impact on our trajectory, and we're growing to help schools achieve even greater results.
Our purpose-driven team of 120+ is located across the US: team members work from anywhere they choose. We have a beautiful 12,000 sf office in Washington, DC that is available for people to use whenever they want, and we regularly organize team meet-ups, events, and retreats in various locations. We're looking to expand our team with diverse and collaborative doers who believe in our mission and the transformative power of affordable, high-quality education.
Location: This is a remote-first role based in the U.S. While we embrace flexible, distributed work, we also value in-person connection. Team members are expected to attend multiple company-wide and team-specific onsites throughout the year.
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, youâll partner closely with stakeholders across BI, Product, and Data Science to deliver reliable, high-quality data and unlock new capabilitiesâincluding LLM-driven features. Youâre 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
Be sure to keep an eye on your spam and promotions boxes in case our emails end up there!
At GiveCampus, we value diversity and we pledge to foster an environment of support, inclusivity, and learning, both on the job and throughout the application process. In this spirit, we encourage candidates of all backgrounds to apply.
GiveCampus is an Equal Opportunity Employer. Applicants and employees are not discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.
If you feel like you don't meet all of the requirements for this role, please apply anyways. We know confidence gaps and imposter syndrome often get in the way of connecting with incredible people, and we don't want them to prevent us from meeting you.
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