Data engineer Jobs in Irving, TX

Job Title: Data Scientist

Job Location: Irving, TX, USA, 75038

Employment Type: Temporary

Estimated Duration: 1 Year

Skills/Attributes: AWS, Python, Snowflake

Position Description

Education

Bachelor's degree in AI, Data Science, or Computer Science (required)

Internships accepted as job experience

Acceptable equivalent technical degrees: Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Computer Science, Computer Science + X, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics

Master's or PhD also acceptable

Experience

5 7 years of professional experience

2+ years of experience applying Python (NumPy, SciPy, pandas, etc.) to solve business challenges

Experience with cloud technologies (AWS, Azure, Google Cloud, etc.)

Top 3 Critical Skills

Built agents in Dataiku & Snowflake Cortex (structured data) - critical

Workflow automation in Dataiku recipes & Python (writing programming logic)

Experience with LangGraph, Langchain, CrewAI

Technical Requirements

Multi-agent architecture and orchestration patterns (agent collaboration, planning, delegation, workflow orchestration)

Reusable agent frameworks and reference architectures

Security, access control, and governance (RBAC, personas, authorization models, guardrails)

Auditability and compliance considerations

Enterprise integrations (Microsoft Teams, SharePoint, email, PDFs, enterprise data sources)

Event-driven and batch processing architectures

API and workflow integration best practices

Agent evaluation, testing, and observability (offline/online evaluation, groundedness, relevance, hallucination detection, task success measurement)

Automated regression testing, monitoring, observability, and performance tracking

Prompt engineering and agent design patterns (prompt optimization, reusable prompts, skills, tools, agent design frameworks)

Human-in-the-loop workflows (approval processes, escalation paths, feedback loops, continuous improvement)

Dataiku application development and UX (Dataiku WebApps, production-ready front-end development, enterprise adoption best practices)

Deployment, operationalization, and scalability (deployment automation, monitoring, governance)

Cost and performance optimization (LLM selection, latency, token consumption, operational cost management, performance tuning)

MCP experience in multi-agent systems for Agent-to-Agent communication (desired)

Advanced data analysis and statistical methods (regression, hypothesis testing, ANOVA, statistical process control) (desired)

Machine learning techniques (Clustering, Logistic Regression, CART, Random Forests, SVM, Neural Networks) (desired)

Design/development of heavy equipment (automotive, aerospace, engine, transmission, construction, mining, industrial) (desired)

Soft Skills

Team player (required)

Good communication skills (desired)

Strong initiative

Interpersonal skills

Ability to communicate effectively

Planning and organization skills

Teamwork

Decision-making skills

Strong concern for customers

Strong focus on continual learning in the Analytics field

Strong initiative to research and apply new methods and digital technologies

Job Responsibilities

Understand the objective (of the assigned project/use case)

Write code in Snowflake & Dataiku to build AI Agents

Test output and update code

Build AI Agents in Dataiku & Snowflake Cortex using structured data

Use AI Agents to create alerts and automate workflows

Perform workflow automation in Dataiku recipes & Python (write programming logic)

Apply multi-agent architecture and orchestration patterns (agent collaboration, planning, delegation, workflow orchestration)

Develop reusable agent frameworks and reference architectures

Implement security, access control, and governance (RBAC, personas, authorization models, guardrails)

Ensure auditability and compliance considerations

Build enterprise integrations and data access patterns (Microsoft Teams, SharePoint, email, PDFs, enterprise data sources)

Work with event-driven and batch processing architectures

Apply API and workflow integration best practices

Conduct agent evaluation, testing, and observability (offline/online evaluation, groundedness, relevance, hallucination detection, task success measurement)

Perform automated regression testing, monitoring, observability, and performance tracking

Apply prompt engineering and agent design patterns (prompt optimization, reusable prompts, skills, tools, agent design frameworks)

Design human-in-the-loop workflows (approval processes, escalation paths, feedback loops, continuous improvement mechanisms)

Develop Dataiku applications and user experience (Dataiku WebApps, production-ready front-end development, enterprise adoption best practices)

Handle deployment, operationalization, and scalability (deployment automation, monitoring, governance)

Perform cost and performance optimization (LLM selection, latency, token consumption, operational cost management, performance tuning)

Upskill the current team in the latest Dataiku Agentic AI technology

Share knowledge and teach this new technology to team members

Establish best practices reusable across multiple AI programs and use cases

Apply theory and concept in contributing to solutions in the assigned area

Perform data collection and analysis

Conduct development, validation, application, and refinement of statistical models

Apply related digital technologies in processing both inputs and outputs from models

Participate in daily standup meetings

Collaborate on a project with 3 other people (including project leader)

Disqualifiers / Red Flags / Overqualifications

Remote work

No past or additional job titles/roles that would provide comparable background