Data Engineer

Responsibilities

• Design, deploy, and maintain the business’s data and AI platforms.
• Own architectural processes and decisions for various data models, including schemas, vector stores, and knowledge bases that support AI and LLM use cases.
• Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine-tuning, and continuous evaluation.
• Work cross-functionally with leadership, development, finance, and data science teams to convert data into understandable information and AI-ready inputs.
• Ensure implemented data and AI systems have relevant security, privacy, and data-governance controls, particularly around data flowing into and out of third-party LLM providers.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related field (or equivalent professional experience).
• 5+ years professional database development experience, preferably as a Data Engineer in a fast-paced environment.
• Expert level knowledge of SQL with focus on writing and optimizing queries.
• Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture.
• Proficiency in Python and modern AI/ML tooling; experience integrating with LLM APIs (Anthropic, OpenAI, etc.).
• Expert problem solving ability and maker’s mentality; experience designing & architecting new features and solutions from scratch, especially blending traditional data systems with AI-powered components.
• Eagerness to leverage AI coding assistants and agents while balancing tech debt, cost, security, and complexity.
• Proactive communication and excellent ability to collaborate in-person and remotely.
• Courage to raise concerns and ask questions.
• Ability to stay up-to-date with new frameworks and tools in the AI/ML space while monitoring for vulnerabilities and edge cases (e.g., prompt injection, data leakage).

Benefits & Perks

• 100% employer-paid medical coverage (base plan) and Dental PPO.
• Vision coverage available.
• Company-paid Short-Term Disability.
• Unlimited Paid Time Off and 9 paid company holidays.
• Generous parental leave and child care benefits.
• Career development and training opportunities.
• Daily catered lunches, office snacks, and credits to dine within the inKind restaurant network.
• Collaborative, in-person, dog-friendly office with downtown Austin views.

Compensation

$135,000 - $155,000, DOE