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# AI Data Engineer

- **Company:** Conch Technologies
- **Location:** Frisco, TX, United States
- **Experience:** Expert
- **Salary:** $107,480.0 - $143,307.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Standard Sql, Enterprise Data Management, Data Processing, Cloud Platform System, Snowflake, Data Management, Data Pipelines, Databricks
- **Published:** July 23, 2026
- **Apply:** https://www.careerjet.com/jobad/us3c125bea5e9389bae2555a7903ce0d63

## About the Role

* 7+ years of experience in Data Engineering.
 * Hands-on experience implementing AI solutions in production environments.
 * Strong experience building and maintaining enterprise-scale data pipelines.
 * Experience working in regulated industries such as:
 * Healthcare
 * Financial Services
 * Solid understanding of:
 * Data Governance
 * Enterprise Data Architecture
 * Cloud-based Data Platforms
 * Hands-on experience with:
 * Databricks
 * Snowflake
 * Experience designing scalable ETL/ELT pipelines.
 * Strong SQL and Python programming skills.
 * Experience with cloud platforms such as Azure, AWS, or GCP.
 * Excellent analytical, problem-solving, and communication skills.

## Description

We are looking for an experienced AI Data Engineer to join a growing enterprise data team. The ideal candidate will have strong experience building enterprise-scale data solutions and implementing AI capabilities in production environments. This is a hybrid role requiring candidates to work from either Frisco, TX or Louisville, KY. Required Skills, * Design, develop, and maintain enterprise data pipelines and data platforms.

 * Implement AI and machine learning solutions into production environments.
 * Build scalable ETL/ELT processes using Databricks and Snowflake.
 * Ensure data quality, security, governance, and compliance across enterprise data platforms.
 * Collaborate with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.
 * Optimize data processing performance and cloud-based data infrastructure.
 * Support enterprise data architecture and best practices for data engineering.


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