
Education
Amplify is a pioneering company in K–12 education, dedicated to providing next-generation curriculum and assessment solutions. Since 2000, Amplify has been developing programs that empower educators with powerful tools, facilitating the development of comprehensive literacy and math systems for students in thousands of school districts globally. Their suite includes the Amplify CKLA literacy program, Desmos Math, and Amplify Science, all designed to align educational practices with the Science of Reading and evidence-based strategies. Amplify also offers professional development through podcasts and webinars, supporting teachers with insight and innovation.
November 19

Education
Amplify is a pioneering company in K–12 education, dedicated to providing next-generation curriculum and assessment solutions. Since 2000, Amplify has been developing programs that empower educators with powerful tools, facilitating the development of comprehensive literacy and math systems for students in thousands of school districts globally. Their suite includes the Amplify CKLA literacy program, Desmos Math, and Amplify Science, all designed to align educational practices with the Science of Reading and evidence-based strategies. Amplify also offers professional development through podcasts and webinars, supporting teachers with insight and innovation.
• Work with data scientists, data analysts, data engineers, and software engineers to provide clean, accurate, reliable models and metrics for our products • Architect data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots • Create data solutions using tools like Snowflake, Airflow, DBT, SQL, Python, Cube.dev • Lead collaboration, pull request-ing, CI/CD processes, and mentoring on a cross-functional team • Participate in cross-team share-outs, brownbags, and workshop series • Become an expert in the data models and standards within Amplify to deliver quality and consistent solutions
• 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 preferably with automation skills • Expertise in analytical modeling architectures, including the Kimball design • Strong communication skills in writing and conversation, including writing engineering training documentation • Fluency in a development language such as Python (preferred) • Familiarity with metadata management tools such as Atlan (preferred) • 3+ years Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker (preferred)
• Competitive health insurance and mental health options • 401(k) plan • Basic life insurance • Paid time off • Parental leave • Access to best-in-class development programs
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