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.
Make life better for passionate, Marketing and Sales teams by building cohesive, common data marts from ERP and CRM source systems like Salesforce, Netsuite and HubSpot
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 closely with sales on logistics pipeline forecasting and sales pipeline tracking to help focus our sales teams in the right areas for the biggest impact.
Align with finance on making sure we have well audited data inline with established financial best practices.
Engineer novel datasets which express a student's progress and performance through an adaptive learning experience which allows for flexible comparison across students and deep analysis of individual students.
Work with the data science team to measure the impact of design changes on an administrator reporting application.
Contribute to leading industry data standards, such as Caliper Analytics, EdFi, or xAPI
Craft slowly changing dimensional models that take into account the nuances of K-12 education such as School Year changes and students moving schools or classes.
Basic Requirements of the Analytics Engineer (Contractor):
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, including the Kimball dimensional data model design
Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form
Preferred Requirements of the Analytics Engineer (Contractor):
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 such as Tableau or Looker
Experience with tools we use every day:
Storage: Snowflake, AWS Storage Services/DBs (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
Experience in recommending standards and practice to streamline the pipeline processes
Proven passion for building and learning: open source contributions, stretch goals and projects, and self-education
Experience in education or ed-tech
Compensation:
The hourly rate range for this role is $100 - $125.
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.
