Job Title - AI/Data Engineer
100% Remote
Position Type - Contract to Hire
Location - New Orleans, LA
Rate - $58/hourly on c2c
*All candidates selected for an interview are required to complete our mandatory identity verification process.
Job Description
We are seeking an AI Data Integration Engineer with strong hands-on experience in Snowflake, healthcare claims data, and practical AI/LLM integration. This role will lead the creation of a sanitized claims data layer (Snowflake views, models, and pipelines) used by internal and external AI systems to identify insights, patterns, savings opportunities, and potential issues for our members and clients. Preferred candidates will also have experience integrating AI solutions in Azure AI Foundry, enabling us to scale toward enterprise-level AI agents, copilots, and analytics capabilities in the future. This role sits at the intersection of data engineering, AI development, and healthcare domain expertise.
MINIMUM REQUIREMENTS (REQUIRED TO HIRE)
Technical
3+ years of hands-on Snowflake experience, including:
SQL, semi-structured data (JSON), UDFs
Secure Views & Masking Policies
Data modeling (Star/Snowflake schemas)
Performance optimization
Strong experience building ETL/ELT pipelines in a modern data stack.
At least 1 2 years of applied AI/LLM development, including:
Designing prompt pipelines
Calling LLM APIs (Azure OpenAI, OpenAI, Anthropic, etc.)
Integrating structured data into LLM workflows
Previous work with healthcare or claims datasets (medical or pharmacy).
Strong understanding of HIPAA privacy principles, de-identification strategy, and PHI minimization.
Soft Skills
Clear written and verbal communication.
Ability to translate product requirements into technical solutions.
Comfortable working in a fast-paced, evolving environment.
Highly collaborative; strong problem-solving mindset.
PREFERRED QUALIFICATIONS (STRONG PLUS)
Azure & Enterprise AI
Experience with Azure AI Foundry, including:
Model catalog & deployments
Agents / tool-calling workflows
Responses API
Vector indexing and retrieval
Experience with Azure OpenAI in a HIPAA environment.
Familiarity with Health Data Services, FHIR, or Fabric Healthcare Data Solutions.
Advanced Data & AI
Experience building RAG pipelines, vector embeddings, semantic search.
Experience designing AI-driven analytics, copilot-style solutions, or automated insights tools.
Background in ML Ops, data governance, or data privacy engineering.
Healthcare Domain
PBM or payer experience (pharmacy claims, accumulators, benefit design).
Experience generating insights such as:
Cost driver analysis
Adherence metrics
Trend & utilization insights
Plan optimization / savings recommendations
Previous work supporting clinical, actuarial, or analytics teams.
SUCCESS CRITERIA (HOW PERFORMANCE WILL BE EVALUATED)
Snowflake sanitized views delivered, validated, and securely deployed.
AI integration produces accurate, explainable insights consistently.
Reduction in manual analysis time for internal team
High-quality documentation and reproducible pipelines.
Successful prototype or pilot for Azure AI Foundry based expansion.
Trusted partnership with product, clinical, and engineering teams.
TOOLS & TECHNOLOGIES USED
Required: Snowflake, SQL, ETL/ELT tools (DBT, Matillion, Airflow, etc.), Python, APIs, LLMs (Azure OpenAI or OpenAI), Git.
Preferred: Azure AI Foundry, Azure Functions, Azure Service Bus, Fabric, FHIR APIs, Databricks (optional), Vector DBs.
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