Analytics Engineer

- Mid Level

About the position

A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. For more information, visit amplify.com. Amplify is a leader in creating immersive, rigorous digital learning experiences that look great, play great, and help students expect great things of themselves. Amplify has been described as the best tech company in education, and the best education company in tech. As an engineer at Amplify, you will join a talented team tackling the toughest problems in education with the best ideas in technology – including user experience, APIs and services, data analysis, and deployment pipelines. You’ll play an active role in imagining and improving product design and the classroom experience.

Responsibilities

• Ingest, transform, model, and aggregate data to empower teams across Amplify and customers.
• Build analytical models to drive the design cycle for apps.
• Architect data warehouse schemas and SQL transforms.
• Analyze performance and troubleshoot bugs using various tools.
• Build cohesive data marts from ERP and CRM source systems.
• Participate in agile rituals and collaborate with multi-functional teams.
• Contribute to leading industry data standards.

Requirements

• 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.

Nice-to-haves

• Fluency in a development language such as Python.
• Familiarity with metadata management tools such as Atlan.
• Experience building dashboards, reports, and models in business intelligence tools.
• Experience with tools like Snowflake, AWS Storage Services, and Postgres.
• Proven passion and talent for teaching fellow engineers and non-engineers.
• Experience in education or ed-tech.

Benefits

• 401(k) plan
• Competitive health insurance and mental health options
• Basic life insurance
• Paid time off
• Parental leave
• Access to best-in-class development programs
• Annual discretionary bonus based on performance