Natural Language To Sql

Natural Language To Sql Engineer Jobs

3 jobs found

Today

Applied AI Engineer

Apple Austin, TX

Austin, TX

Today

$150k - $278k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Build AI agent and analytics capabilities for Apple Ads (Data Insights), connecting LLMs to internal data and decision-support workflows.

Responsibilities

Design and develop scalable AI agent systems that connect LLMs with data infrastructure, APIs, and analytical tools
Improve agent orchestration capabilities, including tool calling, memory, MCPs, context retrieval, and intelligent routing
Create reusable platform components that let teams build and extend AI-powered analytical workflows
Develop evaluation frameworks and monitoring systems to increase observability, accuracy, reliability, and performance
Use machine learning and analytical methods to define and enhance online and offline metrics that improve retrieval quality, reasoning accuracy, and traceability of AI-generated insights
Deliver AI-native solutions from concept to production with a focus on scalability, latency, and maintainability
Collaborate with engineers, data scientists, and business stakeholders to convert domain expertise and analytical workflows into reusable AI capabilities

Requirements

Experience architecting and scaling production AI agent platforms, including multi-step orchestration, tool execution, memory, and context management
Experience building LLM evaluation frameworks, regression benchmarks, and observability systems to improve agent reliability and reasoning quality
Experience with advanced retrieval methods such as embeddings, and/or model fine-tuning, and/or inference optimization
Experience building natural-language-to-SQL systems, analytical agents, or AI-enabled decision-support platforms
Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
Bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience
Experience designing, building, and deploying production software systems, with strong Python programming and software engineering fundamentals
Hands-on experience deploying LLM-powered applications using agentic workflows, tool calling, RAG, or related techniques
Experience with large-scale data platforms or distributed data systems
Strong foundation in AI, machine learning, statistics, and software engineering principles
Strong problem-solving, communication, and cross-functional collaboration skills

Technologies

Python
LLMs
MCPs
RAG
Tool calling
Embeddings
Model fine-tuning
Inference optimization
Natural-language-to-SQL

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards eligibility
Ability to purchase Apple stock at a discount with voluntary participation in the Employee Stock Purchase Plan
Discretionary bonuses or commission payments (as applicable)
Relocation (as applicable)

Pay

Base pay range: USD 150,400 - 277,600 per year
Base pay depends on skills, qualifications, experience, and location

Apple employees may be eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if participating in the Employee Stock Purchase Plan. This role might be eligible for discretionary bonuses or commission payments and relocation, subject to plan eligibility requirements and other terms.

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17d ago

Principal AI Engineer

Burrell Preferred Inc. Springfield, MO

Springfield, MO

17d ago

Full time Ai Engineering Analytics Artificial Intelligence

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Job Description

The Principal AI Engineer role at Burrell Preferred Inc. sits within Analytics as a senior technical contributor, focused on bringing enterprise AI capabilities to life on the data platform. Based in Springfield, MO (onsite), this position leads LLM-enabled analytics work, prototypes conversational access to governed enterprise data, and helps move promising ideas into production-ready architectures.

In this role, you will design and implement AI solutions with an emphasis on Snowflake integration, including natural language-to-SQL experiences and production systems that support reliable, secure decision support and analytics workflows.

Responsibilities

Lead the design and implementation of LLM-enabled analytics capabilities leveraging Snowflake and Cortex AI features
Develop natural language-to-SQL solutions and conversational interfaces for business users to query governed enterprise data
Collaborate with Data Engineering to design and maintain semantic data models that support AI-driven query generation
Build prototype AI applications to validate high-value analytics use cases and demonstrate new capabilities
Guide the transition of prototypes into scalable, production-ready solutions and establish architectural patterns and best practices for LLMs with structured data
Assist Data Engineering with prompt design, query-generation frameworks, evaluation approaches, and integration tasks
Identify high-impact opportunities for AI across analytics, reporting, and decision-support workflows
Evaluate emerging AI technologies, tools, and Snowflake platform capabilities for potential adoption
Support the development of standards for responsible, secure AI usage aligned with enterprise data governance
Document system architecture, design decisions, and implementation approaches
Provide technical guidance and mentorship to analytics and data engineering team members
Function in accordance with operational guidelines and professional ethics, participate in staff development activities, and perform other duties as assigned

Requirements

Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or related field
7+ years of experience in data, analytics, engineering, or applied AI roles
Demonstrated experience building or prototyping AI/LLM-driven solutions in enterprise environments
Experience with modern data warehouse platforms, with Snowflake preferred
Proficiency in SQL and Python
Experience with cloud platforms (AWS, Azure, or GCP) preferred
Healthcare or regulated industry experience preferred but not required
Strong understanding of modern data warehouse architecture and analytics data modeling practices
Experience designing natural language query interfaces, prompt engineering, context management, and grounding techniques for LLM systems
Knowledge of semantic data modeling and data governance principles
Ability to translate complex analytical questions into scalable technical solutions and communicate clearly to technical and non-technical stakeholders
Self-directed problem solver with leadership and mentoring experience
Successful completion of background check including criminal record, driving record, abuse/neglect, and fingerprint check required
Current driver’s license, acceptable driving record, and current auto insurance required

Technologies

LLM, Snowflake, Cortex AI
Natural language-to-SQL
Semantic data models
SQL, Python
AWS, Azure, GCP
Prompt engineering, context management, grounding techniques
LLMs with structured data

Benefits

Employee Assistance Program – 24/7 counseling services, legal assistance, and financial consultation for you and your household at no cost
Mileage Reimbursement – company paid for work functions requiring travel
Employee Discounts – Hotels, Theme Parks & Attractions, College Tuition
Workplace Culture - environment cultivating employee wellbeing, valuing each individual's humanity, and actively promoting a healthy, joyful workforce
Additional Perks & Benefits - scroll down to bottom of this post to learn more
Paid time off: full-time employees receive an attractive time off package
Employee benefits package: full-time employees receive health, dental, vision, retirement, life, and more
Top-notch training: initial, ongoing, comprehensive, and supportive
Career mobility: advancement opportunities and promoting from within
Welcoming, warm, supportive work culture emphasizing your well-being

Physical Requirements

Sedentary work: exerting up to 10 pounds of force occasionally and/or negligible force frequently; repetitive movements of hands, fingers, and arms for typing and/or writing during work shift
Primarily sitting with occasional walking or standing for brief periods

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1mo ago

Senior Data Engineer

Advanced Micro Devices, Inc Austin, TX

Austin, TX

1mo ago Closed

Full time Senior Analytics Azure Data Engineer

This position is no longer accepting applications (closed Oct 24, 2026).

Job Description

Advanced Micro Devices (AMD) is hiring a Senior Data Engineer for the People Analytics team to extend and operate a modern HR data platform built on Microsoft Fabric.

Responsibilities

Own and extend the dbt Fabric transformation layer and medallion architecture models supporting the daily employee spine, dimensions, natural keys, grains, join patterns, and a row-level security model
Develop maintainable SQL with strong performance and testability, applying patterns such as window functions, incremental loading, and slowly changing dimensions while avoiding unnecessary platform-specific logic
Build and maintain automated data quality checks, validation controls, and an evaluation framework to measure accuracy and surface issues before they impact stakeholders, including components related to the analytics assistant
Maintain and improve Bronze-layer ingestion from HRIS source systems into Azure storage and the data warehouse using Python and PySpark notebooks
Contribute to the Power BI semantic layer, including TMDL-defined models, DAX measures, and row-level security
Document data rules, models, lineage, operating procedures, and platform knowledge for shared ownership and effective knowledge transfer
Work in Git and Azure DevOps workflows with CI/CD and SOX-style controls, including pull request-based promotion with separation of author, approver, and deployer responsibilities
Partner with the platform architect and HR stakeholders to independently operate and extend core data models and support reliable day-to-day pipeline performance

Requirements

Strong SQL experience, including window functions, incremental loading, slowly changing dimensions, and query performance tuning
Production experience with dbt including models, tests, macros, and seeds, plus demonstrated focus on data quality and testing
Proficiency in Python and hands-on experience with PySpark using large datasets
Hands-on experience with a cloud lakehouse or data platform; Microsoft Fabric preferred, with Databricks, Synapse, or Snowflake valued
Git-based development with CI/CD and controlled deployment workflows; Azure DevOps preferred
Experience with Power BI semantic modeling including TMDL, DAX, and row-level security
Knowledge of HR, SuccessFactors, people analytics, or workforce data is highly desired
Experience with AI-assisted development or LLM-based data tools such as MCP or natural language-to-SQL is preferred
Experience with ServiceNow data, Snowflake, or related data integrations is desired

Technologies

Microsoft Fabric, dbt, SQL, Power BI, TMDL, DAX, Git, Azure DevOps, CI/CD, SOX-style controls
Python, PySpark, Azure storage, Azure
Window functions, incremental loading, slowly changing dimensions
ServiceNow, Snowflake, Databricks, Synapse
LLM-based data tools, MCP, natural language-to-SQL
SuccessFactors, People Analytics

Education & Certifications

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field preferred
Relevant certifications in Microsoft Fabric, Azure, Power BI, dbt, Snowflake, or cloud data engineering desired

Location: Austin, TX (hybrid)

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Natural Language To Sql Engineer Jobs

Applied AI Engineer

Principal AI Engineer

Senior Data Engineer

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