Senior Software Engineer, Data

  • Full-time

Company Description

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. And make it easier for customers to shop and pay at their favorite businesses. 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.

Job Description

Data powers all the decisions we make at Square. Data Infrastructure team provides self service tools for ingesting data from various sources into datastores that are suitable for analytics, reporting and machine learning. We leverage many open source technologies including Hadoop/Hive, Kafka, Spark, Avro, and also AWS data stack and write our own.

As a team member of Square Data Infrastructure team, you will spend time designing and scaling our existing infrastructure, developing new systems and tools, and educating people efficient ways to use data and analytics at the company.

Qualifications

You will:

  • Design and improve real-time data ingestion infrastructure.
  • Design and develop data pipelines and streaming systems that are correct, scalable and fast.
  • Design and build machine learning infrastructure including model training and real-time serving.
  • Help customers design and implement data schemas and product logging.
  • Optimize datastore architecture and configurations to improve performance efficiency.
  • Work with engineering organization to define data ingestion standards, work with your customers to develop suitable data solutions.
  • Responsible for operating the entire platform, from data pipelines to data stores to analytics to machine learning.

You have:

  • 5+ years of industry experience developing highly scalable production services or 3+ years with a Master's degree.
  • Industry experience preferably in Java, Ruby, SQL.
  • Preferable experience with Hadoop/Hive, Kafka, Spark, AWS, etc.
  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • Experience with OLAP data warehouses like Vertica, Redshift.
  • Experience with distributed systems like kafka,hadoop/spark/storm.

Additional Information

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.

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