Data Engineer

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

If you are a fit, the team will reach out to you about this role or any others that may be a fit for our clients.

Our Client

A pioneer in K–12 education since 2000, our client is leading the way in next-generation curriculum and assessment. Their captivating 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. Their formative assessment products turn data into practical instructional support to help students at every skill level build a strong foundation in early reading and math. Their programs provide teachers with powerful tools that help them understand and respond to the needs of all their students. Today, our client serves five million students in all 50 states.

Our client is a leader in creating immersive, rigorous digital learning experiences that look great, play great, and help students expect great things of themselves. Our client has been described as the best tech company in education, and the best education company in tech.

What You’ll Do

Our data team builds, augments, and maintains the infrastructure that empowers teams 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 leveraging 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, Marketing and Sales teams by:

using REST APIs for sourcing/sending data to SaaS like Salesforce and HubSpot

Help school administrators build great schools by:

respecting privacy and ensuring security while offering useful insights by making smart choices in tech stack, database design, 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 Snowflake, Matillion, SQL, Python, Looker, and Datadog

Learn every day by:

immersing oneself in agile rituals and leveraging our infrastructure

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

participating in cross-team share-outs, brownbags, and workshop series

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

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

Collaborating with data scientists to store, aggregate, and calculate captured students’ work

Contributing to leading industry data standards, such as Caliper Analytics or xAPI

Improving our deployment and testing automation data pipelines

Basic Requirements

BS in Computer Science, Data Science, or equivalent

2+ years of professional software development or data engineering experience

Strong CS and data engineering fundamentals

Proven fluency in SQL and a development language such as Python

Understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support

Understanding of different data formatting (JSON, CSV, XML) and data storage techniques (3NF, EAV Model, Star Schema, Data Lake)

Strong communication skills in writing, conversation, and maybe silly gifs

Extra Credit For

Experience with tools we use every day:

Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)

ETL/BI: Matillion, Looker

Cloud Infrastructure: AWS Kinesis, Lambda, API Gateway, Terraform

Experience with tools we don’t use

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

Experience in education or ed-tech