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Data Engineer

4 months ago

Mountain View, United States kea Full time
About kea

Launched in 2018, kea is one of the fastest-growing companies changing the way restaurants operate. We've raised $29 million from Tier 1 Silicon Valley investors, and we're not stopping there. Originating in Mountain View, California, and now fully remote, we are building a team that is excited about our mission: drive the world's commerce by empowering restaurants to operate more intelligently and own their relationship with customers. The first product in our platform, kea Voice, takes orders over the phone at a high level of efficiency and consistency so that restaurants can focus on making delicious food. That's a win-win

Our Commitment as a team

At kea, we live our values--we are committed to innovation while moving as one unit at high velocity. We are compassionate and care for others. We are open and transparent. We play to win the long game. As you review the below keep Our Commitment in mind. Your uniqueness is valued and differences of opinion, background, and ability are welcomed. If you think you satisfy even just a few of the below points, please apply

About the role

You will be joining the autosquad team, focusing on automating the order-taking process through AI. Your role will be pivotal in storing, organizing, and transforming data to train and experiment with new models, ensuring our AI can handle increasingly complex orders.

What your day-to-day looks like
  • Designing, constructing, and managing data warehouses and lakes
  • Ensuring data quality and accessibility by cleaning and preprocessing datasets
  • Developing and maintaining ETL pipelines in a cloud environment
  • Collaborating closely with ML Ops, ML, and software engineers to support data access for model experimentation
What sets you up for success
  • Basic experience in data storage, data manipulation, and programming
  • At least 4 years of experience as a data engineer
  • A Bachelor's degree in Computer Science, Data Science, Physics, Mathematics, or a related field
  • Proficiency in data modeling, warehousing, SQL/NoSQL databases, Apache Spark or Flink, Pandas, NumPy, cloud services (AWS, GCP), and DevOps practices
  • Software engineering skills in Python, JavaScript, and familiarity with CI/CD tools
What we offer
  • Generous stock option plan
  • 100% employer-paid medical and mental health care benefits. Vision and dental are also available
  • Flexible time off
  • Remote work
  • 401K
  • Ownership, responsibility, and empowerment in what you do
  • Incredible teammates and a caring workplace culture