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Text To Sql Engineer Jobs

2 jobs found

1mo ago

Senior Data & AI Engineer

RADcube Carmel, IN

Carmel, IN

1mo ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Oct 31, 2026).

Job Description

RADcube is looking for a Senior Data & AI Engineer to help build the data foundation that makes AI-driven answers reliable. In this onsite role in Carmel, Indiana, you will design semantic models, create high-quality metadata, and connect structured data with AI capabilities like text-to-SQL and RAG.

You’ll work across cloud data platforms, collaborate with AI engineers on structured-data use cases, and partner with clients to translate business questions into well-defined data requirements. The focus is on accuracy, clarity, and governance, including environments where GxP and HIPAA may apply.

What you’ll do

Build and maintain data models (dimensional, relational, and lakehouse) aligned with team standards.
Investigate and document unfamiliar or legacy schemas, including ER diagrams, data dictionaries, join paths, and lineage.
Develop and optimize SQL, transformations, and pipelines on cloud data platforms.
Create business-friendly semantic models by translating raw tables into metrics, dimensions, hierarchies, and relationships.
Write and enrich schema metadata and descriptions to support LLM text-to-SQL and generative BI accuracy.
Collaborate with AI engineers on RAG pipelines, agent tools, and prompt design when structured data is involved.
Test and evaluate AI-generated queries for correctness, including help building test sets and guardrails.
Participate in client discovery sessions to understand processes, KPIs, and reporting needs.
Convert business questions into data requirements, validating metric definitions with stakeholders.
Communicate data findings clearly to technical and non-technical audiences.
Apply data quality checks, naming standards, and documentation practices.
Follow governance and compliance requirements where relevant (GxP, HIPAA).
Review peers’ work and support junior engineers as needed.

Skills and experience

6+ years of experience in data engineering, analytics engineering, or BI development.
Strong SQL and a solid understanding of relational and dimensional modeling.
Proven ability to learn and navigate large enterprise schemas such as SAP, Salesforce, MES, or similar systems.
Hands-on experience with AWS (Redshift, Glue, Athena, S3) and/or Azure (Synapse, Fabric, Data Factory), plus Databricks or Snowflake.
Working proficiency in Python for data work.
Practical exposure to LLMs on structured data, including text-to-SQL, semantic layers, or AI-assisted analytics.
Business awareness and comfort discussing KPIs and processes with stakeholders.

Technologies you may work with

SQL, Python
AWS: Redshift, Glue, Athena, S3, AWS DataZone
Azure: Synapse, Fabric, Data Factory
Databricks, Snowflake
SAP, Salesforce, MES
LLMs, text-to-SQL, RAG
LangChain, LangGraph, Bedrock Agents, MCP
Unity Catalog, Collibra
dbt, Cube, dbt Semantic Layer, LookML
Vector databases, knowledge graphs, agentic frameworks

Nice-to-have

Experience with pharma, life sciences, manufacturing and quality, or healthcare data.
Experience with dbt and/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).
Experience with data catalog tools such as Unity Catalog, Collibra, or AWS DataZone.
AWS, Azure, or Databricks certifications.

What success looks like in the first 6 months

Deliver semantic models and metadata for at least one accelerator or client use case.
Achieve measurable improvements in AI-generated query accuracy on datasets you own.
Produce documentation that enables others on the team to pick up and extend the work.
Earning stakeholder trust by demonstrating strength in both their data and their business context.

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2mo ago

Machine Learning Engineer

Apple Cupertino, CA

Cupertino, CA

2mo ago Closed

$150k - $225k/yr Full time Ai Ml Artificial Intelligence Generative AI

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

Location: Cupertino, CA (onsite). Salary: USD 150,400 - 225,300 per year.

Responsibilities

Partner with business and product teams to identify high-impact opportunities and translate ambiguous requirements into GenAI-powered features and workflows delivered through a shared AI platform and embedded across products
Design, build, and own end-to-end GenAI capabilities that support both a centralized AI platform and product teams, covering all aspects from prompt and tool design to agent orchestration, retrieval strategies, model selection, and system evaluation
Develop reliable, scalable, and cost-aware GenAI features in collaboration with platform, data, and application engineering teams, ensuring strong performance, observability, and maintainability in production environments
Establish evaluation and monitoring strategies for GenAI-driven features, focusing on output quality, correctness, safety, and business relevance through offline benchmarks, automated checks, and human-in-the-loop review
Develop Text-to-SQL and structured reasoning capabilities that enable natural-language interaction with structured data, ensuring accuracy, security, and alignment with business semantics
Leverage agentic AI patterns (multi-step reasoning, tool use, planning, memory, feedback loops) to support complex workflows, while establishing guardrails for reliable and predictable behavior
Communicate trade-offs, system behavior, and limitations clearly to technical and non-technical stakeholders, enabling informed product and business decisions
Continuously research, prototype, and operationalize emerging GenAI techniques to improve platform capabilities and accelerate adoption across teams

Requirements

Bachelors degree
PhD/MS in Computer Science, Statistics, Applied Math or a related field
3+ years of industry experience

Technologies

PyTorch
TensorFlow
LangChain

Benefits

Base pay range between $150,400 and $225,300, depending on skills, qualifications, experience, and location
Eligibility for discretionary employee stock programs, including discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount through Apple's Employee Stock Purchase Plan
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses including tuition
Possible discretionary bonuses or commission payments and relocation

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