Data Engineer, Growth

  • Full-time
  • Alternate Location: New York, United States

Company Description

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.

Job Description

Square’s Growth team builds intelligent and scalable solutions that empower various communication channels like Scalable Marketing, Sales and Account Management to drive seller growth and retention. 

As a Data Engineer on the Growth team, you will be the expert on the data solutions that enable the team to build and roll out Machine Learning models, effectively design and launch experimentation, and provide stakeholders the visibility into the direct business impact.

You will:

  • Partner closely with data scientists, business Intelligence analysts and machine learning engineers to power machine learning models, experimentation and a suite of analytical data products

  • Work with channel specific teams to build a roadmap for foundational data sets and metrics that are aligned with business goals and that enable self-service

  • Architect, build, and launch scalable data pipelines to support the Growth team’s growing experimentation needs across multiple channels

  • Understand and implement data logging best practices to support our data flow

  • Build integrations with 3rd party vendors

  • Identify opportunities to streamline, automate tasks, and build reusable components across multiple use cases and teams

  • Create dashboards that help our stakeholders understand the performance of the experiments and help them make decisions

Qualifications

You have:

  • 2-5 years of experience as a Data Engineer of related specialty (e.g., Business Intelligence, Data Science, etc.) with a track record of delivering large data solutions

  • Expert knowledge of data warehouse architecture and hands on experience of data modeling design, building complex, scalable ETLs using SQL and Python for a variety of different business and product use cases

  • Hands on experience on cloud-based computing services and data warehouses like Snowflake, Redshift, Azure, or similar

  • Experience building reports with Looker or similar BI visualization tools

  • Excellent communication skills with strong business intuition and ability to understand complex business systems; versatility and willingness to learn new technologies on the job

  • Familiarity with predictive modeling and impact measurement a plus

  • Salesforce (SFDC) experience a plus

Additional Information

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.

Perks

At Square, we want you to be well and thrive. Our global benefits package includes:
  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

At Square, we want you to be well and thrive. Our global benefits package includes:

  • Healthcare coverage
  • Retirement Plans
  • Employee Stock Purchase Program
  • Wellness perks
  • Paid parental leave
  • Paid time off
  • Learning and Development resources

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.

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