Our data team builds, augments, and maintains the infrastructure that empowers teams across Amplify and our customers to make sense of and tell stories with their data.
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.
Impress the toughest customers around – students – by: helping teams create fun, compelling apps by using millions of data points
Make life better for passionate teachers by: helping teachers understand their students by building reusable data pipelines
Make life better for passionate Data Science, Governance and Analyst teams by: Implementing and managing data storage solutions (e.g., data lakes, databases)
Building and maintaining ETL & machine learning pipelines on AWS
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, Airflow, dbt, SQL, Python, Looker, Terraform, and Datadog

BS in Computer Science, Data Science, or equivalent
2+ years of professional software development, site reliability, devops, or data engineering experience
Strong CS and data engineering fundamentals
Proven fluency in SQL and a development language such as Python
Understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support
Understanding of different data formatting (JSON, CSV, XML) and data storage techniques (3NF, EAV Model, Star Schema, Data Lake)
Strong communication skills in writing and conversation

Data Engineer

Key skills