Lead Data Engineer - Remote

Overview

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), we’re 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 90+ 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.

In Short

• Develop and implement a comprehensive data strategy.
• Lead the design and maintenance of scalable data models and architectures.
• Collaborate with Product to identify data needs.
• Champion the use of data visualization tools.
• Establish robust data lineage and quality frameworks.
• Drive the adoption of best practices in data management.
• Support and grow AI/ML initiatives.
• Foster a culture of continuous improvement.

Requirements

• Expertise in data modeling and data visualization tools.
• Extensive experience with database management systems (SQL and NoSQL).
• Strong proficiency in programming languages relevant to data engineering.
• Strong understanding of data governance and quality standards.
• Ability to develop and execute data strategies.
• Excellent communication and collaboration skills.
• Experience with AI/ML data projects.
• 10+ years of experience in programming and development.

Benefits

• Work from anywhere in the US.
• Access to a beautiful office in Washington, DC.
• Regular team meet-ups and events.
• Opportunity to make a substantial impact.
• Inclusive and supportive work environment.