Texas

Data Jobs in Texas

240 jobs found

Include remote jobs

1d ago

Junior Data Analyst

Morgan Stanley Dallas, TX

Dallas, TX

1d ago

$80k - $100k/yr Full time Python Data Analysis Data Analytics

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Job Description

Join Morgan Stanley’s NFR Data & Analytics team in Dallas, TX (onsite) and help power investigative analytics tied to Financial Crime Risk and Crypto. This Junior Data Analyst role supports data wrangling, reconciliation, and reporting workflows, with a focus on accuracy, data quality, and audit-ready documentation. The position’s work location is temporary and will transition to 1445 Ross Ave.

Compensation: expected base pay rates are between $80,000 and $100,000 per year at the commencement of employment. Actual base pay will be determined on an individualized basis and is only part of the total compensation package. Depending on the position, the package may include commission earnings, incentive compensation, discretionary bonuses, other short- and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

On-site process: in-person interviews will be required for the role.

What you’ll do

Perform foundational data wrangling and preparation across datasets related to Fraud, GFC, and blockchain transactions.
Assist with data reconciliation and validation to maintain accuracy and completeness of investigation datasets.
Support reporting outputs and recurring analytical deliverables, including ongoing production reporting support and recurring data refreshes.
Partner with senior analysts to structure and clean data for downstream investigative workflows.
Run data quality checks, identify basic issues or anomalies, and escalate inconsistencies as appropriate.
Collaborate with stakeholders across Fraud, GFC, and Technology teams to support cross-functional data needs.
Handle restricted datasets accessible only to US-based staff while following data governance and access controls.
Document data processes, assumptions, and transformations in a clear, audit-ready format.

What you bring

0-3+ years of experience in data analysis, data wrangling, or related analytical roles.
Working knowledge of SQL or similar query languages; exposure to data tools such as Python, Alteryx, and Excel is a plus.
Basic understanding of data validation, reconciliation, and data quality practices.
Strong attention to detail, especially in data accuracy and control-oriented environments.
Ability to work with structured and semi-structured datasets in a regulated setting.
Interest in Financial Crime and Crypto-related analytics.
Strong communication skills to follow requirements and translate data into structured outputs.
Ability to manage multiple tasks in a team-oriented, deadline-driven environment.
Willingness to learn new tools, datasets, and analytical approaches in a rapidly evolving domain.

Tools and technologies

SQL
Python
Alteryx
Excel

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1d ago

Data Analyst

Sporting Kansas City Center, TX

Center, TX

1d ago

Full time Analytics Data Data Analysis

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Job Description

Sporting Kansas City is seeking a Data Analyst based in Center, TX (onsite) to deliver performance-focused insights and support data-driven decision-making for soccer stakeholders. The role combines analysis, reporting, visualization, and the development of benchmarking and decision-support tools across the First Team.

Key Responsibilities

Provide club-wide data and analytical support to improve data understanding, adoption, and practical application.
Partner with soccer stakeholders to translate insights into performance strategies.
Build and maintain strong working relationships with coaches, analysts, scouts, physical performance coaches, and other key stakeholders.
Communicate analytical findings clearly and concisely to coaches, technical staff, leadership, and ownership.
Address performance questions by translating data into straightforward, actionable recommendations.
Support the development and delivery of pre-match, post-match, and opposition profiling reports.
Deliver high-quality individual and team research projects designed to improve performance and support decision-making.
Lead data visualization initiatives and support the creation and delivery of multiple tools.
Develop and maintain player, team, and league benchmarking frameworks to support objective decision-making.
Support recruitment and squad planning using benchmarking, profiling, and market analysis.
Query, gather, and manipulate data from multiple sources.
Work with event, tracking, and physical performance datasets to build custom metrics.
Build decision-support tools and reports that can be presented and distributed throughout the club.
Support data best practices across the club, aligning with the broader club data strategy and contributing to the continuous development of SKC’s reporting ecosystem.

Required Qualifications

Bachelor’s degree in data science or a related STEM subject.
Experience using SQL and Python and/or R for data management and analysis.
Previous experience with Tableau or comparable data visualization software.
Previous experience working with data and delivering insights within a pro soccer club.
Demonstrated strong communication skills to translate data into actionable insights.
Creative and curious problem-solving approach with a positive attitude toward new challenges.
Proactive, eager-to-learn mindset and ability to work effectively as part of a team.
Excellent attention to detail, with evidence of ongoing development of analytical skills.

Tools and Technologies

SQL, Python, R, Tableau

Preferred Qualifications

Strong understanding of the technical and tactical aspects of soccer.
Evidence of experience working in the MLS.

Physical Requirements and Work Conditions

Ability to work in an office, stadium, and outdoor environments, with travel as required.
Ability to occasionally lift up to 25 pounds.
Ability to work non-traditional hours, including evenings, weekends, and holidays.

Additional Responsibilities

Represent Sporting Kansas City professionally at all times.
Maintain confidentiality of sensitive information.
Comply with club policies and procedures.
Perform other duties as assigned.

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1d ago

Embedded AI Engineer

Gigapower Dallas, TX 🇺🇸 Remote

Dallas, TX

1d ago

Full time Agentic Ai Ai Engineer Artificial Intelligence

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Job Description

Gigapower is building AI capabilities that work alongside engineering teams, turning technical workflows into opportunities for automation and measurable productivity gains. As the dedicated Embedded AI Engineer, you will identify, develop, and deploy AI-powered solutions that support engineering operations across permit design, HLD/LLD, network planning, and day-to-day engineering processes.

Based in Dallas, TX (remote), this role partners closely with engineering, design, and permitting stakeholders to deliver practical tools such as RAG applications, intelligent agents, copilots, and internal engineering automations. You will also help drive adoption by coaching teams on AI tool usage and measuring real-world impact.

What you’ll do

Partner with Engineering, Design, and Permitting teams to understand workflows, challenges, and opportunities for AI-driven improvement.
Identify, prioritize, and deliver AI solutions that improve engineering productivity, design quality, permitting efficiency, and project execution.
Build and deploy AI-powered automations, retrieval-augmented generation (RAG) applications, intelligent agents, copilots, and internal engineering tools.
Develop solutions that streamline permit package creation, engineering documentation, design reviews, and standards compliance.
Create AI-enabled capabilities that assist with HLD and LLD development, engineering analysis, and network planning activities.
Collaborate with Data Engineering and AI teams on enterprise-scale solutions involving shared platforms, analytics, and operational data.
Coach engineering stakeholders on effective use of AI tools including Microsoft Copilot, Claude, and ChatGPT.
Measure solution adoption, quality, and business impact, continuously improving capabilities based on stakeholder feedback.
Partner with engineering leadership to identify scalable AI opportunities across network design and deployment activities.
Use AI-powered tools to improve personal productivity and accelerate solution development.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline (or equivalent practical experience).
1 to 3 years of experience developing software, analytics, automation, or AI-based solutions.
Hands-on experience building applications utilizing Large Language Models (LLMs), including prompting, retrieval-augmented generation (RAG), AI agents, automation workflows, or tool integrations.
Strong proficiency in Python.
Experience developing solutions from concept through deployment and user adoption.
Working knowledge of SQL and experience working with structured datasets.
Strong communication skills, including the ability to explain technical concepts to non-technical audiences.
Demonstrated ability to operate independently and manage competing priorities in a fast-paced environment.
Strong problem-solving, analytical, and critical-thinking skills.
Enthusiasm for learning new technologies and understanding complex business operations.

Technologies

Python, SQL
Large Language Models (LLMs)
Retrieval-augmented generation (RAG)
AI agents
Microsoft Copilot, Claude, ChatGPT
Azure, Snowflake
Cloud-based analytics platforms, engineering systems

Preferred qualifications

Experience in fiber engineering, telecommunications engineering, network design, permitting, outside plant (OSP), or broadband infrastructure.
Familiarity with high-level design (HLD), low-level design (LLD), fiber routing, network planning, or engineering documentation processes.
Working knowledge of SQL and experience with structured, geospatial, or GIS-based datasets.
Experience with Azure, Snowflake, cloud-based analytics platforms, or engineering systems.
Experience supporting change management, technology adoption, enablement, or training initiatives.

Key competencies

Engineering Process Optimization: Identifies opportunities to improve engineering efficiency, quality, and consistency through technology.
AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value.
Technical Partnership: Builds trusted relationships with engineers, designers, and technical stakeholders to solve complex operational challenges.
Problem Solving & Analysis: Applies data-driven thinking and technical expertise to address engineering and network design challenges.
Innovation & Automation: Continuously seeks opportunities to eliminate manual work and improve productivity through automation.
Communication & Influence: Clearly explains technical concepts, gains stakeholder buy-in, and drives adoption of new capabilities.
Learning Agility: Quickly learns new technologies, engineering processes, and business domains to maximize impact.

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1d ago

Embedded AI Engineer - Finance

Gigapower Dallas, TX 🇺🇸 Remote

Dallas, TX

1d ago

Full time Agentic Ai Ai Engineer Analytics

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Job Description

Embedded AI Engineer to serve as the dedicated AI partner for the Finance organization, building and deploying AI-powered solutions that improve planning, forecasting, reporting, and decision-making.

Responsibilities

Work with Finance teams to understand budgeting, forecasting, capital planning, reporting, and approval workflows
Spot and rank use cases where AI can improve financial analysis, operational efficiency, and decision-making
Design and deploy AI-powered automations, RAG applications, agents, copilots, and internal productivity tools
Streamline financial reporting, forecasting, cost analysis, and capital approval processes through solution development
Collaborate with Data Engineering and AI teams on enterprise-scale platforms and shared data initiatives
Build tools that increase visibility into spend, capital deployment, project economics, and business performance
Coach stakeholders on using Microsoft Copilot, Claude, ChatGPT, and other AI technologies effectively
Track adoption, quality, and business outcomes to iterate and continuously improve delivered solutions
Reduce manual effort using workflow automation and intelligent reporting capabilities
Identify scalable AI opportunities that can be rolled out across multiple business functions

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Finance, or a related discipline, or equivalent experience
1 to 3 years of experience building software, analytics, automation, data, or AI-based solutions
Hands-on experience with LLMs, prompt engineering, RAG, AI agents, or automation workflows
Strong proficiency in Python
Working knowledge of SQL and experience working with structured datasets
Capability to take solutions from concept through deployment and user adoption
Strong communication and stakeholder management skills
Self-starter mindset with comfort operating in fast-paced and ambiguous environments
Strong analytical, problem-solving, and critical-thinking skills
Interest in learning complex financial and business processes

Technologies

Python
SQL
LLMs
RAG
Microsoft Copilot
Claude
ChatGPT
AI agents

Preferred Qualifications

Experience in corporate finance, FP&A, capital planning, financial analytics, or infrastructure cost estimation
Experience supporting telecommunications, construction, utilities, infrastructure, or capital-intensive industries
Experience with Azure, Snowflake, cloud analytics platforms, or modern data environments
Experience with change management, user enablement, training, or technology adoption initiatives

Key Competencies

Financial Process Optimization: Improve efficiency, accuracy, and scalability of finance operations using technology
AI Solution Development: Deliver AI-powered solutions tied to measurable business value
Business Partnership: Build trusted relationships with finance and operational stakeholders
Data-Driven Decision Making: Use data, analytics, and AI to provide actionable insights
Automation & Innovation: Identify opportunities to remove manual effort and increase productivity
Communication & Influence: Explain technical concepts clearly and drive adoption across stakeholder groups
Learning Agility: Quickly build expertise in financial processes, technologies, and business domains

Location: Dallas, TX (remote). Experience: 1+ years.

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2d ago

Agentic AI Engineer

Infosys Austin, TX

Austin, TX

2d ago

Full time Agentic Ai Ai Engineer Artificial Intelligence

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Job Description

This Technology Consultant position at Infosys is focused on delivering solutions across the full software development life cycle, with an emphasis on building stable, well-documented systems. The role covers everything from early requirements work through implementation, testing, and production support, while keeping knowledge and operational reliability front and center.

What you’ll do

Support the requirements elicitation process by documenting assigned portions of business requirements according to provided guidance.
Join application design discussions and document design decisions to help the technical team move toward appropriate software solutions.
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining overall system stability.
Perform code reviews, apply changes to the codebase, and maintain code repositories.
Help implement test strategies, analyze results, and coordinate bug fixes to support software quality standards.
Develop user training, documentation, and support frameworks to support smooth adoption of new software applications.
Participate in production issue resolution and recommend preventive approaches to improve reliability.
Maintain detailed records of code, testing methods, and support activities to strengthen the knowledge base across related projects.

What you bring

Collaborative spirit and strong communication skills.
Ability to manage end-to-end SDLC activities from requirements gathering to implementation.
Capability to translate complex requirements into actionable development tasks.
Interest in design combined with hands-on coding experience.
Proactive mindset for testing, troubleshooting, and iterating on application improvements.
Experience working with cross-functional teams and supporting software integration.

Location: Austin, TX (onsite)

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2d ago

Associate AI Engineer

Pogue Construction McKinney, TX

McKinney, TX

2d ago

Full time Ai Automation Ai Engineer Artificial Intelligence

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Job Description

Build and support governed, bounded AI and automation solutions on Microsoft Fabric at Pogue in McKinney, TX.

Responsibilities

Develop, test, and improve bounded AI and automation capabilities using VS Code, SQL, APIs, Git, and Pogue-approved cloud services
Support solutions including permission-aware enterprise search, retrieval-augmented generation (RAG), internal assistants, workflow support, and AI-enabled analytics
Convert approved backlog items into requirements, technical tasks, acceptance criteria, and small releases that are measurable and safely supported
Create prototypes during discovery, then help transform validated prototypes into maintainable services and reusable patterns
Participate in design review with the Principal Solutions Architect before development starts, then move approved designs through to release
Work with Microsoft Fabric lakehouse data, governed Gold business objects, semantic models, metadata, and shared business definitions
Connect structured data with approved documents using secure APIs and retrieval patterns while preserving source permissions, citations, versions, and effective dates
Contribute to Pogue’s enterprise ontology and knowledge foundation by documenting objects, relationships, definitions, ownership, and authoritative sources
Build only on data confirmed as validated in the Gold layer
Document architecture, assumptions, decisions, data flows, interfaces, tests, deployment steps, and operating runbooks for ongoing support
Evaluate accuracy, failure modes, access behavior, latency, cost, and usefulness; convert results into clear release recommendations
Follow Pogue requirements for identity, role-based access, data-classification, approved-model use, logging, monitoring, and human-approval steps
Raise uncertainty, security concerns, and data-quality issues early and propose practical options instead of hiding risk
Work with business owners and subject-matter experts to understand the decision or workflow before selecting a technical approach
Communicate tradeoffs in plain language, ask focused questions, demonstrate progress, and incorporate feedback from technical and nontechnical teammates
Support adoption with concise guides, examples, training materials, and responsive follow-through after launch
Support the AI Champions Network as solutions roll out to project teams

Requirements

Team player mindset
Teachable and capable of learning through feedback
Curious and self-directed
Can write and troubleshoot code in VS Code
Working knowledge of SQL
Working understanding of REST APIs, Git-based collaboration, testing, and basic cloud concepts
Secure handling of credentials and data
Ability to explain a technical project, including decisions made, tradeoffs, and how results were validated
Clear written communication
Able to relate to and communicate with a diverse group of professionals
Can work both individually and as part of a team
Self-motivated and driven
Highly organized and detail oriented
Highly analytical thinker
Positive attitude
Internal and external customer service orientation
Willingness to ask for context when requirements are incomplete
Minimum 20 hrs of Continued Education (yearly)

Technologies

VS Code, SQL, APIs, Git
Microsoft Fabric, OneLake
Azure AI Search, Azure OpenAI, Azure AI Foundry
Power BI
LLM applications, RAG, embeddings
Prompt or model lifecycle management
Agents or workflow automation
Protégé, OWL, RDF, SPARQL
TypeScript, C#, CI/CD
Containerized services, monitoring

Technical Program Experience (Not Required)

Microsoft Azure or Fabric, OneLake or lakehouse patterns, Power BI, Azure AI Search, Azure OpenAI or Azure AI Foundry
LLM applications, RAG, embeddings, evaluation, prompt or model lifecycle management, agents or workflow automation
Knowledge representation, semantic modeling, enterprise ontologies, or knowledge graphs coursework or projects, including Protégé, OWL, RDF, or SPARQL
Metadata, data lineage, document management, or construction and project-control systems
TypeScript, C#, or another modern language
CI/CD, containerized services, monitoring, cost management, or secure enterprise integration

Location: McKinney, TX (onsite)

Education: Bachelor’s degree in computer science, software engineering, information systems, data science, or a related field (or co…)

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4d ago

Data Engineer

Wyyerd Group LLC Texas

Texas

4d ago

Full time Data Data Analysis Data Engineer

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Job Description

The Data Engineer position at Wyyerd Group LLC focuses on delivering and improving data integration capabilities across ETL/ELT pipelines, databases, and workflow automation. The role is based in Texas and requires hands-on experience building reliable data flows that support reporting and warehouse updates.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines.
Build and support integrations between internal systems and third-party applications.
Write, optimize, and troubleshoot complex PostgreSQL queries and database objects.
Ensure data quality, integrity, and reliability across integrations.
Monitor, troubleshoot, and optimize existing data pipelines for performance and stability.
Develop and maintain REST API integrations.
Create and maintain data workflows using SnapLogic.
Collaborate with business stakeholders, analysts, and application teams to understand reporting and integration requirements.
Document data flows, integration processes, and technical solutions.
Participate in code reviews and contribute to data engineering best practices.
Expand data warehouse and analytics capabilities.
Transform program data for use in the reporting warehouse.
Monitor emails from automation and handle errors when they occur.
Monitor server performance and identify poorly designed queries that can be optimized.
Analyze refresh cycles that take too long and implement optimizations to reduce execution time.
Support database upgrades.
Prioritize tasks in the work queue.
Implement required automation to keep the data warehouse up to date with daily, hourly, and real-time data updates.
Work with external vendors for regulatory (FCC) reporting.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, IT, or a related field.
5-9 years of hands-on data engineering experience.
Strong SQL skills.
PostgreSQL experience.
Strong database design skills.
Strong query optimization skills.
Basic script skills for Linux/MacOS.
Working knowledge of GIT.
Working knowledge of AWS.
Python experience preferred.