Senior Data Engineer

🔥 9 minutes ago

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Age of Learning

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

📚 Education

👥 B2C

☁️ SaaS

Education • B2C • SaaS

Age of Learning is a digital education company that builds interactive, research-driven learning products for children and educators. Its flagship offerings include ABCmouse, Adventure Academy, My Math Academy, and My Reading Academy (including a Spanish edition), delivering curriculum-aligned activities across reading, math, science, art, and coding. The company emphasizes measurable learning gains, wide reach (reported metrics include tens of millions of learners and billions of activities completed), partnerships with institutions like NASA and the San Diego Zoo, and distribution to families, schools, and public libraries through ad-free subscription products and educator solutions.

📋 Description

• Design, build, and maintain a simple, effective, and scalable data warehouse on Snowflake — with clean models, well-named fields, and documentation that makes the warehouse easy to use by downstream users and systems • Implement and manage data transformation with dbt to ensure reliable, well-tested pipelines • Develop and evolve data models, semantic layers, and metric definitions that support a wide range of business needs while keeping data consistent and accurate across the organization • Own data quality, observability, and testing that protects downstream consumers from broken or misleading data • Build and evolve internal AI tooling (skills, agents, etc) that makes the Data Engineering team more effective • Partner with analysts, product engineers, and business stakeholders to understand their needs, scope the right solution, and deliver outcomes • Mentor analysts and peers, fostering a culture of learning, rigor, and continuous improvement • Proactively identify operational issues and propose evolutionary solutions

🎯 Requirements

• 5+ years of data engineering experience, with a track record of owning systems end-to-end • Strong SQL, Python, and data modeling skills — opinionated about design strategies and best practices • Hands-on experience with dbt and Snowflake • Experience with clickstream / event data • Demonstrated ability to design and ship scalable data systems • Comfort using AI tools (Claude Code, Cursor, or similar) as part of your daily workflow • Excellent written communication — clear documentation, well-scoped specs, and the ability to explain technical tradeoffs to non-technical partners • Strong project ownership: defining requirements as you go, communicating tradeoffs, and delivering results within timelines • Ability to leverage abstraction to solve complex problems • Experience designing semantic layers, metric stores, or data contracts (preferred) • Experience building A/B testing or experimentation frameworks (preferred) • Experience building or contributing to internal AI tooling — skills, agents (preferred)

🏖️ Benefits

• 91% of employee health and welfare benefits premiums & 70% of dependent benefits premiums • A 401(k) program with employer match • 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year • 7 paid days for company-wide year end closure (includes 3 observed paid holidays) • Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions