Senior Data Engineer

Summary

Join Age of Learning as a Senior Data Engineer specializing in Digital Marketing Analytics! You will design, implement, and manage data solutions to provide marketing and user acquisition insights. Collaborate with data analysts, marketing teams, and engineers to ensure seamless data integration and accessibility for analytics. Develop and optimize data models, build and maintain data warehouse infrastructure using Snowflake, and manage ELT processes with dbt. Mentor team members and proactively identify and resolve operational issues. This role requires extensive experience in data engineering, digital marketing data, and specific technologies like dbt and Snowflake.

Requirements

• 5+ years of data engineering experience
• Able to leverage abstraction to solve complex problems
• Excellent SQL, Python, and data modeling skills
• Extensive experience with digital marketing data such as campaign performance, user acquisition, and attribution models, preferably for a mobile app
• Experience with dbt and Snowflake
• Experience designing and building scalable data systems
• Strong communication and collaboration skills
• Experience managing projects and 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 transformation pipelines
• Manage and monitor data ingestion including API integrations and event streams
• Work closely with data analysts, product engineers, and business stakeholders to understand their requirements and deliver actionable insights
• Mentor and support analysts and peers, fostering a culture of learning and continuous improvement
• Proactively identify and resolve operational issues with evolutionary recommendations
• 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 building 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), 12 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