defy today >> create tomorrow


Senior Data Engineer



Data Science
San Francisco, CA, USA
Posted on Wednesday, June 8, 2022
Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, file their taxes and lots, lots more.
Grid is a fast growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that a merit driven culture allows every team member to play a big role. Join our growing team in our Bay Area headquarters or additional offices across the US.
Our Data Engineers are responsible for converting the data surrounding a customer's financial life into tools that make our customers smarter and better equipped financially for the future. We value making intelligent decisions backed by good data and tools. We're looking for people who share our values, particularly if you have experience analyzing, processing, and learning from large data sets.
We’re looking for a seasoned Senior Data Engineer who can help us lay the foundation of an exceptional data engineering practice. The ideal candidate will be confident with a programming language of their choice, be able to learn new technologies quickly, have strong software engineering and computer science fundamentals and have extensive experience with common big data workflow frameworks and solutions. You will be writing code, setting style guides and collaborating cross-functionally with product, engineering and leadership.

Problems we work on:

  • Analytics: Collect all the data for a user into tools that help our customers
  • Machine Learning: Using a variety of techniques to reach better insights
  • Data Processing: Managing data & statistics using scalable and efficient technologies
  • Visualization: Envision our data as beautiful graphs and tools that allow customers to explore their data & ask their own questions
  • Risk: Analyze data for anomalous patterns and build tools that allow us to find bad actors quickly

We Practice:

  • Open collaboration
  • Code reviews
  • Testing
  • Agile development

We Use:

  • Go
  • Python
  • MySQL
  • Google Cloud Platform
  • Kubernetes
  • Kubeflow
  • Docker
  • Google Pubsub
  • BigQuery
  • Firebase

We’re looking for Engineers to:

  • Design and implement platform services, frameworks and ecosystems
  • Build a scalable, reliable, operable and performant big data workflow platform for data scientists/engineers, AI/ML engineers, and product/operation team members
  • Drive efficiency and reliability improvements through design and automation: performance, scaling, observability, and monitoring


  • Strong programming skills with Python
  • Strong programming skills with a typed programming language, such as Java, Scala, Go, etc.
  • Disciplined approach to development, testing, and quality assurance
  • Excellent communication skills, capable of explaining highly technical problems in English
  • Understand data processing and ETL, hands on experience building pipelines and using frameworks such as Hive hdfs, Presto, Spark, etc.

Really strong candidates may have:

  • Really strong candidates may have:
  • Actively contribute to open source software
  • Worked with a strong, lean-based development environment
  • Previous work experience in a start-up environment
  • Ability to recognize the right tool for the right situation/problem.
  • Will have strong programming skill in Go