Amplify · 7 hours ago
Analytics Engineer
United States
Full-time
Remote
Mid Level
$115K/yr - $129K/yr
3+ years expAmplify is a pioneer in K–12 education, leading the way in next-generation curriculum and assessment. As an Analytics Engineer, you will work with a talented team to ingest, transform, and model data that empowers teams across Amplify and its customers, ensuring clean and reliable data for decision-making.
EdTechEducationHigher Education
Responsibilities
Our analytics engineering team ingests, transforms, models, and aggregates 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
Impress the toughest customers around – students – by building the analytical models which 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
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
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
Qualification
Required
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
Experience working with Looker for explore and dashboards
Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form
Preferred
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, Fivetran
BI: Looker
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 using LLMs for dev work like claude or co-pilot
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
Company
Amplify
A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and formative assessment.
1001-5000 employees
H1B Sponsorship
Amplify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (10)
2023 (5)
2022 (9)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$215MKey Investors
Cox Enterprises
2023-05-23Series C
2021-10-26Series Unknown· $215M
Leadership Team
Nathan Potter
Senior Vice President Engineering
Philipp Legner
VP of Mathigon
Recent News
Google Patent
2024-11-02
Company data provided by crunchbase