Kick is taking an AI-first approach to build the world’s first freemium bookkeeping experience.
Started by the growth Co-Founder of Teachable ($250m exit in March 2020 with 100,000 customers) we’ve raised $5M from OpenAI and other leading investors.
We’re an experienced 9-person team with product-market fit looking to expand our team to help fulfill significant demand.
Ideal Candidate:
- They should also have a passion for building robust and scalable data systems and be comfortable working in a fast-paced startup environment.
- We are looking for a Data Engineer who can take ownership of our data infrastructure and optimize it for scalability, reliability, and performance.
- 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