Engineering at Crunchbase

We’re working to build an unparalleled innovative company data graph, and are continually improving that scalable, flexible platform and rich client application to connect the world's companies and entrepreneurs. Our mission is to turn data into knowledge and make it accessible for everyone to explore and search.

What You’ll Do:

• Design and develop innovative services, features, and schema enhancements to elevate the accessibility, efficiency, consistency, and quality of data for both internal use and our customers.
• Craft, deploy, oversee, and refine data ETL (Extract, Transform, Load) pipelines that are the engines behind our product and analytical capabilities.
• Act as a catalyst for scaling and enhancing our data operations to keep pace with Crunchbase's growth.
• Foster a data-centric culture by equipping engineers and the Product team with the tools to interrogate our datasets effortlessly and reliably.
• Empower data scientists to deploy NLP (Natural Language Processing) and ML (Machine Learning) algorithms at scale within systems that prioritize fault tolerance and high availability.

What We’re Looking For:

• A solid grasp of computer science and software engineering principles is evident in your background.
• Proficiency in Python programming is essential.
• Exposure to technologies like Kubernetes, Kafka, Spark, data warehousing solutions, or Airflow is highly beneficial.
• Prior experience in constructing data pipelines or operationalizing machine learning algorithms is advantageous.
• A dedication to engineering excellence, maintenance best practices, and the creation of outstanding software.
• You are articulate, with exemplary verbal and written communication skills.
• A passion for agile methodologies, cross-functional team collaborations, and a data-informed approach to development and decision-making.