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 10 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.

What You’ll Do

Our data analytics teams ingest, transform, model, and aggregate 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. You will be looking across projects to improve processes and tools with automations that improve or simplify everyone's work.

Impress the toughest customers around – students – by building the analytical models that 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.
Work across the data organization to improve overall data team standards and practices while improving process.
Learn every day by:
immersing yourself in agile rituals and leveraging our infrastructure
collaboration, pull request-ing, CI/CD processes and mentoring on a multi-functional team
participating in cross-team share-outs, brownbags, and workshop series
becoming an expert in the data models and standards within Amplify and demonstrating the educational industry in order to deliver quality and consistent solutions

Example Projects You Might Work On

Build well-tested and documented ELT data pipelines for both full and incremental dbt models to funnel into a fact and dimensional data mart.
Work with analytics Engineers to come up with time saving macros to streamline common dbt processes.
Help improve our release and deployment process with automation
Implement and manage blue / green deployments
Design and review data model ERDs
Develop strategy for automated tests for freshness and dirty data.
Establish coding, architecture, and naming standards for models

Basic Requirements of the Staff Analytics Engineer

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 with a focus on reuse and efficiency.
Expertise in ETL/ELT pipelines, analytical data modeling, aggregations, and metrics
Expertise in dbt and git preferably with automation skills.
Expertise of analytical modeling architectures, including the Kimball design
Strong communication skills in writing and conversation, including writing engineering training documentation.

Preferred Requirements of the Staff Analytics Engineer

Fluency in a development language such as Python
Familiarity with metadata management tools such as Atlan
3+ years experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker
Expertise with tools we use every day:
Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) and Postgres
ETL/ELT: Airflow, dbt, Matillion, Fivetran
BI: Looker, Tableau
Experience with tools we don’t use, but should
Proven passion and talent for teaching fellow engineers and non-engineers
Proven passion for building and learning: open source contributions, pet projects, self-education, Stack Overflow
Proven technical leadership in project delivery.
Experience in education or ed-tech

What we offer:

Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross annualized salary range for this role is $150,000 - $175,000. This role is eligible to receive an annual discretionary bonus that rewards individual and company performance.

We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Amplify is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

This position may be funded, in whole or in part, through American Recovery & Reinvestment Act funds.

Amplify Education, Inc. is an E-Verify participant.

If selected, a background check will be required. As required by state and local laws and district policies, you may also be required to provide additional documentation, such as proof of vaccination or submit to enhanced background screening, including fingerprints.

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Staff Analytics Engineer