Age of Learning is hiring a
Data Engineer

Summary

The job is for a Data Engineer at Age of Learning who will focus on supporting finance and digital marketing stakeholders by building data warehouses and evolving the data infrastructure. The role requires 2+ years of Data Engineering experience, excellent SQL, Python, and data modeling skills, experience with dbt and Snowflake, strong communication and collaboration skills, and the ability to work iteratively.

Requirements

• 2+ years of Data Engineering experience
• Able to leverage abstraction to solve complex problems
• Excellent SQL, Python, and data modeling skills
• Experience with dbt and Snowflake
• Experience contributing to scalable data systems
• Strong communication and collaboration skills
• Experience delivering results within set timelines
• Can work iteratively, defining requirements as needed

Responsibilities

• Develop and optimize data models to support various business needs, ensuring data consistency and accuracy across the organization
• Design, build, and maintain a simple, effective, and scalable data warehouse infrastructure using Snowflake
• Implement and manage ELT processes with dbt to ensure reliable data pipelines
• Manage data integrations with external systems
• Work closely with data analysts and business stakeholders to understand their requirements and deliver actionable insights
• Collaborate with and learn from experienced team members, fostering a culture of learning and continuous improvement
• Ensure testing and validation mechanisms are in place so that data transformations are verified, complete, documented, and meet SLAs

Preferred Qualifications

• Extensive experience with dbt
• Extensive experience with Snowflake
• Experience working with finance and/or digital marketing data
• Experience building and/or maintaining A/B Testing frameworks
• Familiarity with DevOps practices and tools for managing data infrastructure
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Understanding of machine learning and data science concepts

Benefits

• 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 3-year anniversary), 11 observed national paid holidays plus 9 sick days
• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions