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Data Engineer

Engineering

,

Full time

,

Remote

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Kick is an applied machine learning company building the first self-driving bookkeeping experience. We’ve raised from leadings investors like OpenAI to reimagine the way millions of business owners work.

Started by the Co-Founder of Teachable ($250m exit in March 2020) we’re an experienced team with overwhelming market demand looking to create the data layer for finance.

Ideal Candidate

We are looking for a Data Engineer who can take ownership of our data infrastructure and optimize it for scalability, reliability, and performance. They should also have a passion for building robust and scalable data systems and be comfortable working in a fast-paced startup environment. The ideal candidate should have experience working with large datasets and designing and implementing data pipelines for real-time data processing.

You will

  • Design and build scalable data pipelines to collect and process large volumes of data from various sources
  • Develop data models and schema designs to support both structured and unstructured data
  • Implement data quality checks and validation processes to ensure data accuracy and integrity
  • Optimize data storage and retrieval processes to ensure high performance and availability
  • Collaborate with cross-functional teams such as Data Scientists, Machine Learning Engineers, and Product Managers to understand data requirements
  • Create and maintain documentation of data infrastructure, processes, and standards

We're Looking For Someone Who

  • Has 5+ years of experience in data engineering
  • Has a strong background in computer science, mathematics, or related fields
  • Has strong programming skills in languages such as Python
  • Has experience with data warehousing technologies such as Redshift, Snowflake, or BigQuery
  • Has knowledge of ETL tools and techniques for data integration
  • Is familiar with cloud computing platforms such as AWS, Azure, or GCP
  • Has excellent problem-solving skills and attention to detail
  • Has strong communication and collaboration skills to work effectively in a team environment

Qualifications

Bonus if

  • You have experience with real-time data processing technologies such as Kafka, Kinesis, or Spark Streaming
  • You have experience with NoSQL databases such as MongoDB or Cassandra
  • You have experience with distributed computing frameworks such as Hadoop or Spark

Compensation

  • Competitive salary and equity package based on experience

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