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Azure Data Engineer with AI || United States Citizenship is required for this role

SolveIT Services IncUnited States🇺🇸United StatesPosted Oct 1, 2026

Why This Role Stands Out

This fully remote, contract-to-hire role offers an exciting opportunity to leverage your Snowflake and AI/LLM integration skills to drive innovation in the healthcare sector, with a competitive hourly rate of $58. You'll thrive here if you are a mid-senior level professional with a passion for building robust data pipelines and integrating cutting-edge AI solutions within a supportive and forward-thinking team. Apply now to contribute to impactful projects and grow your career at the intersection of data engineering and artificial intelligence.

Quick Overview

Salary
$58/hr
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
21 hours ago
SQLETLSnowflakeAirflowAzureDatabricksGitHIPAALLMPythondbt

Job Description

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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