inKind

Data Engineer

Austin, in-person

Sponsorship not specified$135k-$155kDetected 19 days ago

PythonSQLSnowflakeVector DatabasesAWSMachine LearningdbtData EngineeringData ScienceNLPLLMsRAGLeadershipCommunicationProblem Solving

About the role

We're committed to creating an environment where our team can thrive both professionally and personally.
Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding.
From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat.

Responsible for the design, deployment, and maintenance of the business's data and AI platforms
Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases
Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture
The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation (RAG) systems.

Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
5+ years professional database development experience, preferably as a Data Engineer in a fast-paced environment and complex business setting
Expert level knowledge of SQL with focus on writing and optimizing queries
Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic, OpenAI, etc.)
vast experience designing & architecting new features and solutions from scratch - especially those that blend traditional data systems with AI-powered components
Proactive communication, both written and spoken, and excellent ability to work well with others, in-person and remotely

Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine-tuning, and continuous evaluation
An equivalent of this educational requirement in working experience is also acceptable

inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards.
Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often.
Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community.
inKind is an Equal Opportunity Employer.
We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment.
Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions.
By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process.

This listing is sourced directly from inKind's careers page and normalized into a canonical job model.