Senior Data Engineer (Series A Startup) @ Recruiting From Scratch - Menlo Park, CA

Job Overview

13 days ago

Senior Data Engineer (Series A Startup)

Recruiting From Scratch - Menlo Park, CA

Who is Recruiting from Scratch:
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
Our client is on a mission to revive and modernize the American Dream by bringing the homebuilding process online.

They are not taking a traditional approach, and are not looking for traditional thinkers. Our client is looking for talented individuals who not only challenge the norm, but challenge us as a team.

Individuals at our client's company come from companies like NASA, Facebook, Cameo, Root Insurance, Opendoor, CBRE, Toll Brothers, etc. They are backed by top tier investors and are building a real business fueled by real revenue — not just venture capital.

About the Role

You'll be an early engineer, joining a team of 4 exceptional engineers.


You'll be shipping major services and features often, owning a large part of our early data infrastructure and working closely with leadership to define the data team as it grows.


We mean what we say: we want you to do the best work of your life. We want to give you the responsibility to build the future of living, and we take this commitment seriously.


About You

You are a data-minded engineer focused on building robust data systems that improve the backbone of data-first applications.


You can boil down complex problems into elegant solutions and implement them.


You're able to ideate on new services/features and build them from scratch; you can take a problem and run with it until deployment.


You have designed, built, and maintained production-grade data systems (pipelines, pass-through systems, models, etc.) and infrastructure (storage, ETL, API for analysis and user-facing services, etc.).


You have a strong grasp of engineering fundamentals.


You are excited about working on a small team and helping us set the long term vision for our engineering organization and data direction.


You care more about solving a problem and building the right system than about using a particular technology to do it.


Technical Requirements

Experience in Python


Experience in general data engineering concepts/services (ETL, storage, analysis tools, various data architectures)


Experience with some pipeline orchestration tool, preferably Airflow


Experience in developing REST APIs to serve backend and web clients, preferably using Flask


Experience working with various teams to understand data requirements/use-cases to define applications


Nice-to-haves include experience in Airflow, data science, Google Cloud Platform, DevOps


Tech Stack

Vue


Webpack



node.js + Express


PostgreSQL


Google Cloud Platform


Data


Airflow

GCP BigQuery

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