Senior Data Engineer

🕒 il y a 10 jours

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Age of Learning

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2007

📚 Éducation

👥 B2C

☁️ SaaS

Education • B2C • SaaS

Age of Learning est une entreprise d'éducation numérique qui développe des produits d'apprentissage interactifs et basés sur la recherche pour les enfants et les éducateurs. Ses offres phares incluent ABCmouse, Adventure Academy, My Math Academy et My Reading Academy (y compris une édition en espagnol), fournissant des activités alignées sur les programmes scolaires dans la lecture, les mathématiques, les sciences, l'art et le codage. L'entreprise met l'accent sur les gains d'apprentissage mesurables, une large portée (ses métriques reportées comprennent des dizaines de millions d'apprenants et des milliards d'activités complétées), des partenariats avec des institutions comme la NASA et le Zoo de San Diego, et la distribution aux familles, aux écoles et aux bibliothèques publiques à travers des produits par abonnement sans publicité et des solutions pour les éducateurs.

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

🎯 Exigences

• 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)

🏖️ Avantages

• 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