AI Data Engineer

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.

• 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.

• $107,480-143,307 per year Line of Business: Service & Support About Us Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over…

• 7 days ago