Senior Data Engineer, Amplify

• BS in Computer Science, Data Science, or equivalent
• 4+ years of professional software development, site reliability, or data engineering experience
• Strong CS and data engineering fundamentals with advanced knowledge in core data areas
• Proven expertise in SQL and a development language such as Python
• Deep understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support
• Solid experience working with a modern data stack (Airflow, Snowflake, cube.dev and dbt)
• Able to mentor different data formatting (JSON, CSV, XML) and data storage techniques (3NF, EAV Model, Star Schema, Data Lake)
• Solid experience working with infrastructure or configuration as-code (IAC) frameworks (Terraform)
• Strong communication skills in writing, conversation, and design documents

Desirable

• Our data team designs, builds, augments, and maintains the infrastructure that empowers teams across Amplify and our customers to make sense of and tell stories with their data
• We believe strongly in teaching our teammates to serve themselves, within a safe, reliable, and agile environment
• You’ll be building data systems, but also the sharing-and-learning culture so that every team uses these tools to improve their own lives, and those of our students and teachers
• Helping teams create fun, compelling apps by using millions of data points
• Helping teachers understand their students by building reusable data pipelines
• Designing, Developing, Automating and Maintaining a scalable and secure data platform
• Implementing and managing data storage solutions (e.g. data lakes, databases)
• Optimizing data processing and retrieval workflows
• Collaborating with data scientists and analysts to facilitate data access and utilization
• Ensuring data privacy and compliance with relevant regulations
• Analyzing and Improving performance and squashing tricky bugs using tools like Snowflake, Fivetran, dbt, SQL, Python, Looker, Terraform, and Datadog
• Immersing oneself in agile rituals and using our infrastructure
• Leading collaboration, pull request-ing, and mentoring on a multi-functional team
• Participating in cross-team share-outs, brown bags, and workshop series
• Becoming an expert in the data models, architecture and standards within Amplify and the educational industry in order to deliver quality and consistent solutions
• Example Projects You Might Work On:
• Building well-tested and optimized ETL data pipelines for both full and delta extraction
• Collaborating with data analysts and learning scientists to gather, design, and implement ETL and Data Warehousing requirements
• Contributing to leading industry data standards within our organization, communities or open source projects (e.g. dbt, terraform)
• Improving deployment and testing automation data platform services and infrastructure