Senior Data Engineer, Data Platform

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 solving 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.

What You’ll Do

Our data team designs, builds, augments, and maintains the infrastructure that empowers teams across Amplify and our customers to make sense of and tell stories with their data. We believe strongly in teaching our teammates to serve themselves, within a safe, reliable, and agile environment. 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:

  • Designing, Developing, Automating and Maintaining a scalable and secure data platform.

  • Implementing and managing data storage solutions (e.g. data lakes, databases).

  • Optimizing data processing and retrieval workflows.

  • 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, Fivetran, dbt, SQL, Python, Looker, Terraform, and Datadog

• Learn every day by:

  • immersing oneself in agile rituals and using our infrastructure

  • leading collaboration, pull request-ing, and mentoring on a multi-functional team

  • participating in cross-team share-outs, brown bags, and workshop series

  • becoming an expert in the data models, architecture and standards within Amplify and the educational industry in order to deliver quality and consistent solutions

Example Projects You Might Work On

• Building well-tested and optimized ETL data pipelines for both full and delta extraction

• Collaborating with data analysts and learning scientists to gather, design, and implement ETL and Data Warehousing requirements

• Contributing to leading industry data standards within our organization, communities or open source projects (e.g. dbt, terraform)

• Improving deployment and testing automation data platform services and infrastructure

Basic Requirements

• BS in Computer Science, Data Science, or equivalent

• 4+ years of professional software development, site reliability, or data engineering experience

• Strong CS and data engineering fundamentals with advanced knowledge in core data areas

• Proven expertise in SQL and a development language such as Python

• Deep understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support

• Solid experience working with a modern data stack (