Staff Data Engineer

CookUnity is a rapidly growing company that connects the world with great food through chefs. The role involves designing and building data pipelines and systems to support the company's growth and improve decision-making across the organization.

Responsibilities:

• Design and build net new resilient batch and real-time data pipelines that power critical products and drive rapid business growth
• Design and build data pipelines facilitating the migration from existing disparate data models and data sources, into new data models and databases in production
• Champion data reliability and performance by implementing proactive monitoring and quality-first engineering practices
• Optimize data models to support fast, efficient decision-making across high-impact product and business use cases
• Partner closely with product, engineering, and data science teams to quickly translate evolving business needs into scalable, production-ready data solutions
• Shape the future of data engineering at scale, helping define the long-term roadmap and setting best practices as we grow
• Coach and level up teammates, fostering a culture of learning, ownership, and continuous improvement
• Demonstrate strong self-direction and thrive in environments with high ambiguity, making sound decisions even when clear solutions are not readily apparent

Requirements:

• 7+ years of relevant industry experience
• Proficient in Java, Scala, or Python, with deep expertise in data processing tech and in writing complex SQL queries
• Proven track record of driving innovation within highly technical, distributed teams. You have driven complex projects to completion and are motivated by solving high-impact problems and building for the best user UX
• Proven track record in designing, building, and operating robust distributed data platforms (e.g., Snowflake, Spark, Flink, Kafka), and handling large data sets
• Demonstrable experience of building, productionalizing, and optimizing real-time and batch data pipelines
• Experience designing data architectures to power a variety of use cases, including enabling experimentation
• Be opinionated on engineering best practices and help contribute to our strong engineering culture
• Experience with cloud-native technologies (Kubernetes, containers, etc)
• Past experience working in a rapid growth company or an early stage startup environment
• A passion for food!