AI Data Engineer

Key Responsibilities:

• Translate business requirements into logical data models to support entity relationships and data flows.
• Design and implement scalable data pipelines for AI and machine learning workloads.
• Develop and maintain data architectures to ensure data quality, availability, and security.
• Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
• Optimize data workflows for real-time analytics and decision-making.
• Ensure adherence to data governance policies and security protocols.
• Stay current on data engineering, AI, and machine learning advancements.
• Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
• Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
• Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
• Contribute to the successful delivery of programs and projects.

Qualifications
Required Education:

• Bachelors degree and five (5) years or more related experience; Masters and three (3) years or more experience; four (4) years of experience considered in lieu of degree.

Qualifications:

• 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
• Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
• Strong knowledge of data pipeline design, ETL processes, and database management.
• Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
• Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
• Familiarity with data governance, security practices, and compliance standards.
  
  

  Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.