Age of LearningRemote
Senior Data Engineer
United States of America
Full Time
4 hours ago
$160,000 - $190,000 USD
H1B Sponsor Likely
Key skills
Data EngineeringSQLPythonData ModelingdbtSnowflakeClickstream DataEvent DataAI Tools Claude CodeAI Tools CursorAI Tools similarData Warehouse DesignData TransformationData QualitySemantic LayersMetric StoresData ContractsA/B TestingExperimentation FrameworksInternal AI ToolingGoAIClaudeAnalyticsCommunication
About this role
Age of Learning® is the leading developer of engaging and effective Pre-K through 2nd grade learning resources. As a Senior Data Engineer on the Analytics team, you’ll help shape the architecture and long-term direction of our data platform while building and maintaining reliable, scalable data systems that power decision-making across the company.
Responsibilities:
- 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
- Experience building A/B testing or experimentation frameworks
- Experience building or contributing to internal AI tooling — skills, agents