Staff Data Engineer

CookUnity

$180K — $200K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of backend software engineering experience
  • Proficient in Java, Scala, or Python, with strong SQL skills
  • Successfully driven innovation in technical, distributed teams
  • Experience in designing and operating robust distributed data platforms like Snowflake or Kafka
  • Skilled in building and optimizing data pipelines for real-time and batch processing

Responsibilities

  • Design and build resilient batch and real-time data pipelines for critical products
  • Facilitate migration from disparate data models to new production models
  • Champion data reliability and performance through proactive monitoring
  • Optimize data models for efficient decision-making across business use cases
  • Collaborate with product, engineering, and data teams to develop scalable solutions
  • Define the long-term data engineering roadmap and best practices
  • Coach teammates to foster a culture of learning and continuous improvement

Benefits

  • Health Insurance coverage
  • 401k Plan
  • Unlimited PTO
  • 5-year Sabbatical offering a 4-week paid break
  • Paid Family leave
  • Compassionate Leave for personal needs
  • Generous monthly credits for CookUnity meals
  • Access to AI tools like ChatGPT and Claude for enhanced productivity
  • Wellness perks including fitness subsidies
  • Personalized Spanish coaching
  • Unique opportunity to influence the future of food and chef work at CookUnity
Full Job Description
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 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!
Benefits:

Health Insurance coverage

401k Plan

Unlimited PTO

5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

Paid Family leave

Compassionate Leave: 3-5 days each time the need arises

A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly

AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

Wellness perks: access to fitness subsidies to build a healthy lifestyle

Personalized Spanish coach

Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

Compensation
All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.

Pay Range for this position

$180,000-$200,000 USD

If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time!

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