Senior Data Engineer

Age of Learning

Senior Data Engineer building scalable data warehouse systems for Age of Learning. Collaborating with teams to deliver high-quality data solutions and mentoring analysts.

Posted 4/30/2026full-time🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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
Preferred Qualifications:
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

Benefits

Comp & perks

90% of employee health and welfare benefits premiums & 65% 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
Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata modelingdbtSnowflakedata transformationdata qualitydata observabilityAI toolingA/B testing

Soft Skills

written communicationproject ownershipmentoringproblem-solvingcollaborationcontinuous improvementscope definitiontechnical tradeoff explanationoperational issue identificationsolution proposal