About SchoolAI

We make school awesome everyday for students and the people supporting them by finding out what they need and making it happen.

We believe in the power of working shoulder to shoulder with great people on important problems, which means that this role is based out of our beautiful Lehi, Utah office 3 days per week, with at home days twice per week.

Values

We want everyone at SchoolAI to make a competitive wage, have fun, and do good. As we build out the team, we optimize for, and invest in, great people who:

• 🪄 Make Magic: You're making magic when you dream big, sweat the details, make the complex look elegant, and the final result is one that puts a smile on everyone's face. People are drawn to working with you and your work.
• ☀️ Rise to the Moment: You're rising to the moment when you show up, answer the call, make the extra effort, and appreciate the fact that we are working with the coolest technology, in the biggest space it’ll impact, and we’re in pole position.
• 🔗 Connect the Dots: You've done the work to prioritize, understand, and tie your work to your team, to students, and to the people who support them. You're driving tangible outcomes and can connect your work to meaningful, tangible business results and goals. You're connecting the dots when you've thought deeply and have a throughline narrative for your work.
• 🚀 Make High Leverage Bets: Always consider the board in front of you – using data, instinct, honed expertise, and user problems to pick the best move and maximize the impact of every resource. When the moment is right – go all in.
• ➡️ Simplify and Go: Cut through the noise. Focus on what’s essential and act with urgency. Speed is your ally, simplicity your tool. Embrace clarity and let it guide you to swift victories.

We use our core values to make decisions, evaluate work, and win. We expect that every team member demonstrate these values. In turn, we'll invest in you and your impact at SchoolAI.

SchoolAI is seeking a skilled Data Engineer to design, build, and maintain our data infrastructure and pipelines. We believe in working as cross functional teams to build delightful products. You'll work closely with Fullstack Software Engineers, AI/ML Engineers, Product Management, and other stakeholders to ensure efficient data delivery and processing across the organization.

An ideal candidate understands software development best practices and isn’t fooled into thinking that the outputs of what they build outweigh the outcomes of what they build. They’ll work well with others and be excited about the opportunity to work at an early stage startup.

About the role

• Design, develop, and maintain scalable ETL & ELT data pipelines, using modern data engineering tools and best practices
• Build and optimize data models and architectures to support analytics, model training, and business intelligence needs
• Implement data quality controls and monitoring systems to ensure data accuracy and reliability
• Collaborate with cross-functional teams to understand data requirements and provide technical solutions
• Write efficient SQL queries and optimize database performance
• Deploy and maintain cloud-based data infrastructure
• Create and maintain technical documentation for data systems and processes

We'd love to hear from you if you have:

• A deep understanding of and extensive experience with distributed systems
• Built and maintained large scale ETL and ELT pipelines
• 3+ years of experience in data engineering or similar role
• Strong programming skills in Python, SQL, and shell scripting
• Experience with ETL tools and data pipeline orchestration (e.g., Airflow)
• Proficiency in working with both relational and NoSQL databases
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of data warehousing concepts and dimensional modeling

If you’d like to apply for this role, fill out the info below and upload your resume. In lieu of a cover letter, click here to try out one of our spaces. Fill in your first and last name and then tell us about the best teacher you’ve ever had.