# Data Engineer

**Company:** [inKind](https://hotfix.jobs/companies/inkind)
**Location:** Austin, TX
**Role:** Data Engineering
**Salary:** $135k – $155k/yr
**Experience:** 5+ years
**Skills:** SQL, Snowflake, dbt, AWS, Python, ETL, ELT, LLM APIs, Anthropic, OpenAI, Machine Learning, vector stores, RAG
**Posted:** 2026-07-02

> Build and maintain AI-ready data platforms, pipelines, and architectures (schemas, vector stores, embeddings) that power ML models, LLM applications, and RAG systems at inKind. Requires 5+ years data engineering experience, expert SQL, Snowflake/dbt/AWS, Python, and LLM integration skills.

## Job Description

## 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

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