Transform, model, and aggregate data to empower customers to make sense of and tell stories with their data, working with cross-functional teams to provide clean, accurate, reliable models and metrics
Job Summary
Transform, model, and aggregate data to empower customers to make sense of and tell stories with their data, working with cross-functional teams to provide clean, accurate, reliable models and metrics.
Architect data warehouse schemas and SQL transforms, and create data solutions using tools like Snowflake, Airflow, DBT, SQL, Python, and Cube.dev.
Immerse yourself in agile rituals, leverage infrastructure, lead collaboration, participate in CI/CD processes, and mentor on a cross-functional team.
Matching Summary
Transform, model, and aggregate data to empower customers to make sense of and tell stories with their data, working with cross-functional teams to provide clean, accurate, reliable models and metrics.
Salary
$175,000 - $185,000; Bonus eligible; Competitive health insurance, 401(k) plan, paid time off, parental leave
Skills & Requirements
Must-have
SQL and code-based ETL
ETL/ELT pipelines, analytical data modeling
analytical modeling architectures
data warehouse schemas
data solutions using Snowflake, Airflow, DBT, SQL, Python
Nice-to-have
passion for teaching engineers
passion for building and learning
technical leadership in project delivery
familiarity with metadata management tools
experience in education or ed-tech
Key Requirements
BS in Computer Science, Data Science, or equivalent experience
8+ years of professional software development or data engineering experience
5+ years experience in computer, data, and analytics engineering
Expertise in SQL and its use in code-based ETL frameworks, preferably dbt
Expertise in ETL/ELT pipelines, analytical data modeling, aggregations, and metrics
Expertise in dbt and git
Expertise in analytical modeling architectures, including the Kimball design
Strong communication skills in writing and conversation