Analytics Engineer

BS in Computer Science, Data Science, or equivalent experience.

3+ years of professional software development or data engineering experience

Strong computer, data, and analytics engineering fundamentals.

Proven fluency in SQL and its use in code-based ETL frameworks preferably dbt

Understanding of ETL/ELT pipelines, analytical data modeling, aggregations, and metrics

Strong understanding of analytical modeling architectures, including the Kimball dimensional data model design

Our analytics engineering team ingests, transforms, models, and aggregates the data that empowers teams across Amplify and our customers to make sense of and tell stories with their data.  You’ll be working with data scientists, data analysts, and data engineers to provide clean, accurate, reliable models and metrics for our products and internal business partners.

Impress the toughest customers around – students – by building the analytical models which drive the design cycle for fun and compelling apps, helping them understand their students by building modular data models

Help school administrators build great schools by:

respecting privacy and ensuring security while offering useful insights by making inquisitive choices in tech stack, database design, masking policies, and encryption

helping school principals understand how teachers are teaching and how students are learning by architecting data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots

analyzing performance and squashing tricky bugs using tools like Fivetran, Snowflake, Airflow, DBT, SQL, Python, Looker and Tableau.