Staff Data Engineer

About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you’ve found the right job posting. About the Team: Our Data Team is a highly dynamic and innovative group that excels in solving complex business challenges and propelling the growth of an enterprise through analytical expertise. We provide crucial insights that empower individuals across the company to make better decisions, ultimately increasing efficiency. If you have a passion for shaping the future of an organization with your analytical skills, this role offers an exciting opportunity to fulfill your aspirations. The Role: This is a rare opportunity to work at a rapid growth scale-up company and build on an entirely new system to set the engineering foundation and principles across the org. You will partner closely with the engineering team to translate data needs into scalable, production-ready solutions. You will design build net new data pipelines and systems that form the future base of our B2C data engineering stack, and set in place best practices and patterns for the entire CookUnity data engineering org to adopt. We’re looking for someone excited about the prospect of taking an existing product that’s growing rapidly and helping to rebuild key components of our system. This will help set CookUnity up to scale gracefully for our next years of rapid growth, reduce overall system complexity, enable greater product experimentation, and enable product teams to build incredible features faster. 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. Minimum Requirements: 7+ years of experience in backend software engineering. 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. Preferred requirements: Experience designing data architectures to power a var ... (truncated, view full listing at source)