> Markdown version of [/jobs/ext/2661041-data-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2661041-data-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data AI Engineer - **Company:** Propertyvalue Quantum Technologies Llc - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Extract Transform Load (ETL), Data Structures, Python (Programming Language), Machine Learning, Tableau (Software), ReactJS, Snowflake, Information Technology, Machine Learning Operations, Streamlit Framework, Data Pipelines - **Published:** August 12, 2026 - **Apply:** https://www.dice.com/job-detail/3bc09e3f-2716-4c90-812b-868466fd2d07 ## About the Role * Snowflake and Data pipelines * Python * AI/ML and Advanced Analytics * Building and deployment AI agents on UI (Streamlit, react) * Tableau, * 5+ years of relevant experience in the required technologies and 10+ years of overall IT experience. ## Description AI engineer who has experience in deploying models and hosting them on UI like streamline, react and monitoring them and making any necessary changes. Work with business users to troubleshot the issues., * The individual will work three days per week from the Austin office. Responsibilities include developing ETL pipelines, designing Snowflake data structures, creating Tableau reports, and identifying process automation opportunities using Python. * The candidate will work closely with the Operations team, as well as data scientists and software engineers, on Python-based applications, machine learning models, and optimization solutions that support both development and operational activities. * The candidate will also collaborate with business teams to understand reporting requirements and build the corresponding data science pipelines. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)