Senior Data Engineer
October 22
Description
• Develop and maintain data pipelines using Databricks, Airflow, or similar orchestration systems. • Write robust, maintainable code in Python, following best practices and coding standards. • Design and implement solutions using Kubernetes, ensuring high availability and scalability. • Gather product data requirements and implement solutions to ingest, process, and serve that data to applications at scale • Collaborate closely with Data Science and Engineering teams to build production-ready applications, optimizing for performance and scale. • Cultivate data from a wide range of sources for use by our data scientists and maintain documentation for data. • Design a modern data stack, with a keen focus on providing a platform for data scientists and ML engineers to develop production ready models and pipelines. • Work across Data Science and Engineering teams to ensure effective collaboration and communication.
Requirements
• Proven experience as a data engineer, preferably with at least 3 or more years of relevant experience. • Some exposure designing cloud native solutions and implementations with Kubernetes • Experience with Airflow or similar pipeline orchestration tools. • Strong background in Python programming. • Demonstrated experience in collaborating with Data Science and Engineering teams in a production environment. • Firm grasp on SQL and knowledge of relational data modeling schemas. • Preference for experience with Databricks or Spark • Familiarity with modern data stack design and strong opinions on data lifecycle management, testing, and governance. • Passion for coaching and working in a team-oriented environment. • Experience with distributed systems, microservices architecture, and cloud platforms (e.g., AWS, Azure, Google Cloud). • Excellent problem-solving skills and the ability to analyze and debug complex issues. • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Benefits
• Competitive compensation with benefits, paid vacation, and sick leave. • The opportunity to work with a globally diverse team of top Engineering or other talent on the industry’s toughest Engineering or other challenges. • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary. • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development. • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.
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