Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards.
Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more.
We’re working to find new and better ways to help businesses succeed on their own terms and we’re looking for people like you to help shape tomorrow at Square.
Square began with a simple yet revolutionary piece of hardware the Square Reader. We have expanded that vision to give our merchants access to the latest secure payment technologies (contactless and chip cards) and easy-to-use Point of Sale products.
Today our hardware carries over $30 billion in transactions annually. Measuring the performance of our hardware, and the journey in getting the hardware to our merchants, is essential in ensuring that our merchants’ experience with Square is as seamless as possible.
We need your help to collect data about our hardware, organize that data, and make it available to analysts across Square.
As a member of the Hardware data engineering team, you will define, develop, and manage a variety of data infrastructure components and pipelines so that our analytics teams and collaborators have trusted data to inform decisions and insights.
You will :
Join the small but mighty Hardware data engineering team that partners with internal Hardware data consumers to understand their needs and to source the right data sets to work on
Work in a remote environment that allows you to build scalable Hardware data pipelines and tools to ingest data from internal / external sources to our cloud data stack (Snowflake / AWS)
Develop data structures to support flexible analysis of this data, including creating data models, structuring optimized ETLs, designing validation scripts
Troubleshoot technical issues with platforms, data discrepancies, alerts, etc.
Be a voice between the Hardware team and Square’s data community. Help the hardware team’s data producers embrace best-practices, represent the hardware team’s voice in data infrastructure planning discussions.
Report into a data engineering manager on the Platform Infrastructure Engineering team
You have :
3+ years building and supporting reporting data systems built on columnar oriented RDBMS systems (e.g. Snowflake, BigQuery, Redshift, Vertica, etc.)
Strong experience building data pipelines from heterogeneous data sources (e.g. Event streams, Flat Files, RDBMS, REST APIs, SFTP, etc.
to support real-time operational and analytical workloads
Technical accomplishments working with SQL, ETL, and Apache Airflow; and knowledge of at least one mature programming language (Ruby (and Rails), Python, Java, Go, or similar)
Experience with Linux / OSX command line, version control software (git), and general software development
Experience with cloud based data tools and services (e.g. AWS Lambda / S3 / Transfer, GCP Cloud Functions / GCS, Fivetran, etc.)
At Square, our purpose is to empower within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers.
To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications.
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.
com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.
At Square, we want you to be well and thrive. Our global benefits package includes :