AI Engineer

• Build and maintain data pipelines for AI-ready data delivery
• Structure data for downstream AI ingestion and use
• Partner on data governance and quality standards
• Translate business needs into usable data definitions
• Support Databricks-based data engineering efforts
• Help improve data usability beyond reporting and analytics
• Collaborate with internal and third-party AI resources, * Hybrid schedule with three onsite days and two remote days
• Friday is expected to be an onsite day
• Role is open due to growing AI data needs
• Pay expectations should be shared with submitted candidates
• Client is open to reviewing candidates now

• 6-8+ years of strong experience in data engineering
• Hands-on experience with Databricks
• Experience preparing data for AI use cases
• Understanding of data governance and data quality
• Ability to define data from a business perspective
• Experience working beyond traditional analytics reporting
• Ability to work onsite in Houston three days weekly

Nice to Have Skills & Experience:

• Direct experience in AI engineering
• Experience supporting AI data strategy
• Background owning internal data initiatives
• Experience working with distributed teams
• Familiarity with enterprise governance practices

3.63.6 out of 5 stars Houston, TX Hybrid work $80 - $85 an hour - Temp-to-hire, Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Disability insurance
• Paid holidays, Perks & Benefits:
• 3 different medical health insurance plans, dental, and vision insurance
• Voluntary, Short-term and Long-term disability insurance
• Paid time off, 401k, and holiday pay
• Weekly direct deposit or pay card deposit