Senior Data & AI Engineer
Radcube is hiring a hands-on Senior Data & AI Engineer in Carmel, Indiana to model enterprise data, build semantic layers and metadata that make AI systems (text-to-SQL, generative BI) accurate, and contribute to RADLabs accelerators and pharma/healthcare client work. Core stack: SQL, Python, AWS/Azure, Databricks/Snowflake.
- Compensation
- Not disclosed
- Location
- Carmel, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 6+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 6+ years in data engineering, analytics engineering, or BI development (6-10 years experience)
- Strong SQL and solid understanding of relational and dimensional modeling
- Demonstrated ability to learn and navigate large enterprise schemas (SAP, Salesforce, MES, or similar)
- Hands-on experience with AWS (Redshift, Glue, Athena, S3) and/or Azure (Synapse, Fabric, Data Factory), plus Databricks or Snowflake
- Proficiency in Python for data work
- Practical exposure to LLMs on structured data, such as text-to-SQL, semantic layers, or AI-assisted analytics
- Good business sense and comfort talking with stakeholders about KPIs and processes
Nice to have
- Experience in pharma, life sciences, manufacturing and quality, or healthcare data
- dbt, or semantic layer tools such as Cube, dbt Semantic Layer, or LookML
- Familiarity with vector databases, knowledge graphs, or agentic frameworks (LangChain/LangGraph, Bedrock Agents, MCP)
- Data catalog tools such as Unity Catalog, Collibra, or AWS DataZone
- AWS, Azure, or Databricks certifications
Full description
**Senior Data & AI
EngineerLocation:** Carmel, Indiana
Experience: 6–10 years
Employment Type: Full-time
About the Role**
RADcube is hiring a hands-on
Senior Engineer who knows data, AI, and the business. You will dig into complex
enterprise schemas, work out what the data means to the business, and build the
models, semantic layers, and metadata that let AI systems answer questions
accurately. You will contribute directly to our RADLabs accelerators, including
generative BI and agentic platforms, and to client work in pharma, life
sciences, and healthcare.
What You'll DoSchema & Data Modeling**
- Build and maintain data models
(dimensional, relational, lakehouse) that follow team standards.
- Explore and document unfamiliar or
legacy schemas, producing ER diagrams, data dictionaries, join paths, and
lineage.
- Develop and optimize SQL,
transformations, and pipelines on cloud data platforms.
**Semantic Layer & AI
Enablement**
- Translate raw tables into business-friendly
semantic models: metrics, dimensions, hierarchies, and relationships.
- Write and enrich schema metadata and
descriptions to improve LLM text-to-SQL and generative BI accuracy.
- Work with AI engineers on RAG pipelines,
agent tools, and prompt design where structured data is involved.
- Test and evaluate AI-generated queries
for correctness, and help build test sets and guardrails.
Business Understanding
- Take part in client discovery sessions
to understand processes, KPIs, and reporting needs.
- Turn business questions into data
requirements and validate metric definitions with stakeholders.
- Explain data findings clearly to both
technical and non-technical audiences.
Quality & Collaboration
- Apply data quality checks, naming
standards, and documentation practices.
- Follow governance and compliance