We believe everyone should be able to participate and thrive in the economy. So we’re building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let’s shorten the distance between having an idea and making a living from it. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.

At Square, data powers all the decisions we make at Square. Data at Square is the secret sauce to the company’s growth potentials. The combination of the financial industry standards and the fast growing mobile application usage makes data flow at Square complex and challenging. Our Core Data Analytics team, which includes data science and engineering, is looking for a Data Engineer to build data pipelines that efficiently and reliably move data across systems. In this role, you will get the opportunity to build a state-of-the-art data platform and pipeline to tackle some of the most challenging problems in the industry and contribute to the vision of data infrastructure.

You will:

• Learn the end-to-end data flow at Square.

• Design, model and build a scalable data warehouse, using ETL and other related technologies.

• Improve the efficiency, scalability, and stability of our Vertica and Hadoop data warehouse.

• Work closely with data scientists to optimize and productize machine learning models.

• Implement systems for tracking data quality, usage, and consistency.

• Design and develop new data products, using languages, such as Ruby.

You have:

• 5+ years of industry experience in data engineering or 3+ years with a Master's degree.

• Basic programming skillset.

• Expertise with query optimization skills including SQL.

• Expertise with various ETL technologies and familiar with ETL tools.

• A solid understanding of both relational and NoSQL database technologies.

• Experience with visualization, data mining, or statistical tools.

• Experience with Vertica, in particular, is a plus.

• The ability to deliver a project from start to finish.
  

• An excellent critical thinking, problem solving and analytical skills.

• Excellent communication skills, and the ability to work effectively with others.

• BS or MS degree in Computer Science or a related technical field.

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.