Age of Learning
Senior Data Engineer
🇺🇸
Remote - US
🕑
Full-Time
💰
$160K - $190K
💻
Data Science
🗓️
May 1st, 2026
SQL
Python
DBT
Edtech.com's Summary
Age of Learning is hiring a Senior Data Engineer. The role requires setting the architectural direction for the data platform, ensuring data reliability, and collaborating with cross-functional teams to build scalable data systems. The Senior Data Engineer also mentors peers, designs data warehouses, and develops AI tooling to enhance team effectiveness.
Highlights
- Design and maintain a scalable data warehouse using Snowflake.
- Implement data pipelines with dbt for reliable data transformation.
- Develop data models, semantic layers, and metric definitions for business needs.
- Ensure data quality, observability, and testing to protect data consumers.
- Build internal AI tools to increase Data Engineering team productivity.
- Collaborate with analysts, engineers, and stakeholders to deliver data solutions.
- Mentor analysts and peers to promote continuous improvement.
- 5+ years of data engineering experience with strong SQL, Python, and data modeling skills.
- Hands-on experience with dbt, Snowflake, clickstream/event data, and AI tools like Claude Code or Cursor.
- Compensation range: $160,000 to $190,000 USD annually.
Senior Data Engineer Full Description
Company Overview:
Summary:
Age of Learning® is the leading developer of engaging and effective Pre-K through 5th grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The companyâs research-based curriculum, developed by education experts, includes the award-winning programs ABCmouse.com® Early Learning Academy and Adventure Academyâ¢, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español. Having served over 50 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit www.AgeofLearning.com.
As a Senior Data Engineer on the Data and Analytics team, you set the architectural direction for our data platform and own the trustworthiness of the data layer the company relies on. You partner closely with data analysts, product managers, designers, and production engineers, translating their needs into durable systems, mentoring the people around you, and continuously raising the bar for what "good" looks like in our data org.
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
Required Qualifications:• 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
• 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
• 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
Total Compensation:
The estimated salary range for a new hire in this position is $160,000 USD to $190,000 USD. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location.
Age of Learning currently provides:
⢠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
Security Advisory
At Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts â be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom â never through messaging apps. Job offers are communicated verbally and followed by written documentation via Docusign. Any requests for personal information will occur through secure channels only.
An Equal Opportunity Employer
Age of Learning, Inc. (the âCompanyâ) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the âCompanyâ) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act.
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