Staff Data Engineer

CookUnity is a rapidly growing company focused on connecting people with great food through chefs. The Staff Data Engineer will design and build new data pipelines and systems, collaborating closely with teams to create scalable, production-ready solutions that support the company's mission of empowering chefs to nourish the world.

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!