AI-powered checkout for retail.

Data Engineer

Job Type
3+ years
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Jordan Fisher
Jordan Fisher

About the role

At Standard Cognition, we’re revolutionizing the way the world shops. By replacing cash registers with computer vision-powered checkout, we’re creating a frictionless experience for shoppers. Since launching in 2017, Standard has contracts with multiple global retailers and is in the process of deploying our Standard Checkout solution across thousands of stores globally. We’re backed by some of Silicon Valley’s leading investors including Softbank, CRV, Initialized, EQT, Draper Associates and YCombinator. We just announced our series C in February 2021!

Data is central to decision-making at Standard, and our data infrastructure plays a critical role in informing and evangelizing data-driven decision making across our operations, product, and engineering teams.

The Systems team colocates and queries data across many disparate engineering and operations teams at Standard. Their goal is to better understand product metrics like receipt accuracy. As a Data Engineer on the Systems team, you will be tasked with building data pipelines that underlie our product metrics. You will be focused on building ETL pipelines, data processing jobs and developing data schemas that enable downstream analysts and data scientists.

This is a FULL-TIME remote role located in the United States.

What you'll do here:

Build and maintain the data infrastructure underlying our key product metrics like receipt accuracy Work with engineering and operations teams to ingest, join and clean data sources for downstream analysts/data scientists Support, spec and optimize the queries and datasets needed for downstream analysis Democratize our data by exposing derived data sources as APIs to other engineering and operations teams

Who you are:

You are an expert with building, maintaining and optimizing data pipelines, architectures, queries and datasets You have worked extensively with SQL and NoSQL databases You have experience querying large structure/unstructured datasets in SQL/Hive, Redshift, Spark etc. You are proficient in Python or another scripting language You are skilled in manipulating, processing and extracting value from large disconnected datasets You are accomplished in writing and maintaining ETL jobs for ingesting data across systems into a data warehouse You are knowledgable of GCP cloud services: Cloud SQL, BigQuery, Spanner

Only meet some of these traits or experiences? We'd still love to hear from you!

Why you might want to work with us:

We take care of you and your family with health, vision, and dental insurance. You will have the option to contribute to a 401k. You're excited to work on a product that will impact almost any consumer, almost anywhere. Standard is a remote first company. We trust you to get your job done in the location that works best for you. We dress casually. Some of us wear slippers in the office. In current work from home standings, we’re super comfy. We believe in a culture of learning, and want to keep building our skills, experiences, and capabilities. We offer flexible work schedules. We trust our team to know how they will do their best work. We're family friendly. We want our teammates to focus on what they need to when they need to. We offer very competitive compensation, including equity in Standard, to each one of our employees.

Standard provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Why you should join Standard Cognition

Standard Cognition
Team Size:2
Location:San Francisco
Jordan Fisher
Jordan Fisher
John Novak
John Novak
Head of Hardware Engineering
Michael Suswal
Michael Suswal
David Valdman
David Valdman