Texas

Engineer Jobs in Texas

972 jobs found

Include remote jobs

Today

Junior Data Engineer, CRM

Cheil Dallas Plano, TX

Plano, TX

Today

Full time Analytics Analytics Engineer Crm Analytics

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Job Description

The Junior Data Engineer, CRM supports the Samsung Mobile (MX) CRM program by handling day-to-day data extraction, preparation, and data quality tasks under the Senior Data Engineer.

Responsibilities

Extract CRM-related data from C360, Tableau, Adobe Analytics, and Adobe Campaign based on request and on schedule.
Clean, join, and format datasets to match analysts’ specifications.
Support audience counts and segment checks before deployment.
Run data quality checks and reconcile numbers across multiple sources.
Maintain documentation for data sources, fields, and recurring jobs.
Help build and maintain data pipelines on the Cheil data server using Google Cloud or AWS.

Requirements

2 to 3 years of experience in data engineering or data analysis.
Working knowledge of Python and SQL.
Exposure to Google Cloud or AWS.
Careful, organized working style with strong attention to data accuracy.
Marketing data or Adobe tools experience is a plus.
Ability to work on a hybrid schedule at the agency in Plano, Texas.

Technology & Tools

Python, SQL
C360, Tableau
Adobe Analytics, Adobe Campaign
Google Cloud, AWS

Team & Reporting

CRM Data & Analytics (Data-driven Strategy)
Reports to the Data Lead

Role Logistics

Client account: Samsung
Location: Plano, TX (Hybrid)
Employment type: Full-Time
Start date: Immediate

Technologies: Python, SQL, C360, Tableau, Adobe Analytics, Adobe Campaign, Google Cloud, AWS.

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Today

Senior Data Engineer, CRM

Cheil Dallas Plano, TX

Plano, TX

Today

Full time Senior Apache Airflow Aws Cloud

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Job Description

Own the data foundation for the Samsung Mobile (MX) CRM program, connecting client sources, delivering analyst-ready datasets, and enabling secure analytics and automation on Google Cloud or AWS.

Responsibilities

Extract and integrate data from C360, Tableau, Adobe Analytics, and Adobe Campaign
Build repeatable data pipelines that transform data to match the analysts’ specifications
Design, build, and maintain the Cheil CRM data server on Google Cloud or AWS
Set up external API access to support analytics, modeling, and AI tooling
Define data models, create and maintain documentation, and implement access controls
Ensure client data handling meets security and privacy requirements; lead security reviews with the client
Automate recurring extracts, audience counts, and reporting feeds
Provide technical guidance for the Junior Data Engineer and review their work

Requirements

6+ years of data engineering experience; marketing or customer data exposure preferred
Advanced Python and SQL
Hands-on experience building data platforms on Google Cloud (BigQuery) or AWS (Redshift, S3)
Experience building pipelines and APIs, plus familiarity with orchestration using Airflow
Strong understanding of data governance, security, and privacy
Experience with Adobe Campaign, Adobe Analytics, or customer data platforms is a plus
Ability to work the hybrid schedule at the agency in Plano, Texas

Key Focus Areas

Data extraction and integration
Cheil data environment
Governance and security
Automation and leadership

Technologies

Python, SQL
Google Cloud, BigQuery
AWS, Redshift, S3
Airflow
C360, Tableau, Adobe Analytics, Adobe Campaign
Cheil CRM data server
External API

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Today

Software Engineer - Clinical Software

Caris MPI, Inc. Irving, TX

Irving, TX

Today

Full time Backend Developer CI/CD Clinical Software

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Job Description

Software Engineer, Clinical Software role focused on building and maintaining regulated clinical applications with strong emphasis on data integrity and controlled change.

Responsibilities

Design, implement, and maintain features and components across Caris clinical software platforms with well-structured, testable, documented code suitable for regulated production use.
Participate in design and architecture discussions, evaluating technical options and trade-offs that guide team decisions.
Perform and receive peer code reviews to uphold code quality and surface risks related to correctness, performance, or compliance.
Partner with product management to clarify requirements, understand technical constraints, and estimate backlog items.
Maintain the technical record, including design documents, architecture decision records, and operational runbooks aligned with SOX and FDA change-control obligations.
Instrument, monitor, and support production systems; join incident response and root-cause analysis for production issues.
Develop automated test coverage across unit, integration, and end-to-end levels as first-class engineering deliverables.
Automate recurring engineering and operational work uncovered by delivery, turning repeated manual steps into scripted automation with review and quality controls.
Engage in pair programming and structured knowledge sharing; escalate complex architectural or compliance topics to senior engineers.
Identify technical debt and reliability concerns and drive remediation that improves maintainability and compliance posture.
Work AI-first using AI coding assistants and agentic workflows for daily design, implementation, and test generation, with peer and engineering review as the quality gate.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
3+ years of professional software engineering experience building and maintaining production software systems.
Hands-on experience across the full SDLC in a team environment, including requirements refinement, design, implementation, testing, and release.
Proven experience writing and maintaining automated tests for production software at unit, integration, and/or end-to-end levels.
Working proficiency in code review and applying engineering standards to shared codebases.
Hands-on experience with AI coding assistants and agentic development workflows in real engineering work.
Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Technologies

Java
TypeScript
Browser-based application frameworks
Server-side JavaScript
Enterprise Java components
CI/CD
Application-level observability

Preferred Qualifications

Experience in healthcare, clinical laboratory, diagnostics, or life sciences software environments.
Familiarity with agile delivery frameworks and associated tooling.
Exposure to cloud-native application development and deployment patterns.
Interest in growing into technical design and architecture discussions, including clear communication to technical and non-technical audiences.
Willingness to participate in pair programming, knowledge sharing, or structured peer learning.
Strong analytical and problem-solving skills applied to complex, regulated production systems.
Experience in regulated environments governed by FDA requirements, SOX controls, CLIA, or HIPAA (regulated-domain experience preferred, not required).

Training

All job-specific, safety, and compliance training is assigned based on the job functions associated with this employee.

Other Details

Periodic travel to other Caris sites or partner locations may be required.
After-hours response to emergency production issues and participation in periodic scheduled on-call rotations may be required.

Conditions of Employment

Successful completion of the pre-employment process, including criminal background check, drug screening, credit check (applicable for certain positions), and reference verification.

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Today

Lead Software Engineer - Python

Wells Fargo Irving, TX

Irving, TX

Today

Full time Backend Developer Python API

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Job Description

Wells Fargo is hiring a Lead Software Engineer (Python) for Secured Network Services in Irving, TX with a hybrid schedule.

Responsibilities

Lead complex technology initiatives with broad, companywide impact
Design and build API-driven integrations between network platforms and internal systems
Develop and maintain Python-based automation frameworks to improve reliability, scalability, and operational efficiency
Convert manual operational processes into automated, repeatable, and maintainable workflows
Create automation solutions that meet performance, security, reliability, and maintainability standards
Collaborate with network engineering, platform, and other technology teams to align automation with architecture and infrastructure strategies
Drive automation work that supports product deployments, service delivery, customer journeys, and API development
Use approved AI-assisted development tools, including GitHub Copilot and code-focused AI agents, to support engineering tasks
Apply AI capabilities to accelerate solution design, development, testing, analysis, and troubleshooting
Use technical judgment to review, validate, and integrate AI-assisted outputs into production solutions
Lead projects and teams, or act as a peer mentor

Requirements

5+ years of software engineering experience (or equivalent via work experience, training, military experience, or education)
4+ years of Python development experience, including building automation tools, system integrations, APIs, or workflow orchestration
Experience designing, developing, testing, and supporting software solutions in an enterprise environment
Experience with REST APIs, including authentication, schema validation, error handling, and versioning
Source control and modern software development practices, preferably GitHub

Technologies

Python; REST APIs
GitHub; GitHub Copilot
FastAPI; Django; GraphQL
PostgreSQL; NoSQL databases; MongoDB
React
OAuth
Model Context Protocol (MCP); OpenAI API
Microservices; event-driven architectures
Red Hat OpenShift; Cloud Foundry; Kubernetes
Unix/Linux
Postman

Desired Qualifications

Network engineering concepts and network infrastructure automation
Nautobot experience for network source-of-truth, automation, or infrastructure management
API-driven integrations between network platforms and enterprise systems
Experience with FastAPI, Django, GraphQL, PostgreSQL, NoSQL databases, React, and OAuth
Model Context Protocol (MCP) experience and integrating applications with enterprise AI models or model APIs
Experience using OpenAI API specifications or similar API-based AI integrations
Microservices, RESTful APIs, and event-driven architectures
Container and cloud-native platforms such as Red Hat OpenShift, Cloud Foundry, and Kubernetes
Working knowledge of Unix/Linux, MongoDB, and Postman
Experience with legacy infrastructure as well as modern cloud and container-based infrastructure
Enterprise experience with structured change management, security, risk, and release processes aligned with broader Senior Software Engineer expectations
Experience using GitHub Copilot or other approved AI-assisted development tools for design, coding, testing, troubleshooting, and analysis
Ability to evaluate AI-generated code or recommendations for accuracy, maintainability, security, and operational risk

Job Expectations

Hybrid work schedule
Not eligible for telecommuting
Not eligible for visa sponsorship

Posting End Date

8 Nov 2026
May come down early due to volume of applicants

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Today

Software Engineer

Robotics Technologies Irving, TX

Irving, TX

Today

Full time Ai Engineer Applied Ai Engineer Artificial Intelligence

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Job Description

Robotics Technologies is seeking a Lead Software Engineer to drive performance and scalability across simulation foundation platforms, GPU computing, and agentic AI. This onsite role in Irving, TX focuses on optimizing workloads from NVIDIA Omniverse and Isaac Sim to distributed multi-GPU and containerized GPU execution.

Focus Areas

Simulation performance optimization across NVIDIA Omniverse and Isaac Sim
GPU computing performance engineering in distributed multi-GPU environments
Agentic AI systems for automated code analysis and runtime performance optimization
Operational scaling for containerized GPU workloads and GPU cloud infrastructure

Key Responsibilities

Analyze and optimize workloads across CPU, GPU, memory, I/O, storage, and networking using NVIDIA Nsight tools
Refactor and optimize simulation codebases using CUDA, C++, and Python to improve hardware utilization and execution performance
Design and implement agentic AI systems for automated code analysis and runtime performance optimization
Optimize and scale simulation workloads using NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed computing environments
Manage and optimize containerized GPU workloads using Docker, Kubernetes, and Slurm
Collaborate on GPU cloud infrastructure work, including CoreWeave, AWS, and Azure
Develop automated regression testing, observability, and performance benchmarking solutions
Partner with robotics, perception, and AI engineering teams to improve simulation performance and scalability

Required Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline
Minimum 7+ years of relevant software engineering experience
Strong programming proficiency in C++ and Python
Deep expertise in CUDA programming, GPU performance optimization, and NVIDIA GPU architecture
Strong experience with agentic AI and autonomous agents for automated code and runtime optimization
Hands-on experience with NVIDIA Omniverse, Isaac Sim, or equivalent simulation engines
Practical experience with NVIDIA Nsight tools, including Nsight Systems, Nsight Compute, and Nsight Graphics
Strong understanding of multi-GPU systems, parallel processing, and distributed computing
Experience with Linux, Docker, Kubernetes, and Slurm
Proven ability to benchmark, debug, and optimize compute-intensive workloads
Experience optimizing RTX and real-time rendering workloads
Background in robotics, autonomous systems, digital twins, or simulation platforms
Knowledge of High-Performance Computing (HPC) environments and large-scale GPU clusters
Experience with CI/CD pipelines and automated performance benchmarking frameworks
Familiarity with machine learning infrastructure, AI training, and synthetic data generation

Technology & Tools

Programming and acceleration: CUDA, C++, Python, NVIDIA GPU architecture
Simulation platforms: NVIDIA Omniverse, Isaac Sim
Profiling and analysis: NVIDIA Nsight, Nsight Systems, Nsight Compute, Nsight Graphics
Deployment and orchestration: Docker, Kubernetes, Slurm
Cloud and infrastructure: CoreWeave, AWS, Azure
Operating environment: Linux
Delivery and ML tooling: CI/CD, machine learning infrastructure, AI training, synthetic data generation
Rendering: RTX, real-time rendering workloads

Work Environment

CUDA, C++, Python, Agentic AI
NVIDIA Omniverse, NVIDIA Isaac Sim, NVIDIA Nsight
GPU Computing, Docker, Kubernetes, Slurm
Linux, CoreWeave, AWS, Azure

Location

Irving, TX (onsite)

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Today

Engineering Recruiter

Enchanted Rock Management LLC Houston, TX

Houston, TX

Today

Full time Application Tracking System Candidate Pipeline CRM

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Job Description

Enchanted Rock Management LLC has a temporary hybrid opportunity for an Engineering Recruiter focused on full-cycle recruiting and engineering talent pipeline development.

Responsibilities

Own full recruitment lifecycle for roles across ERock’s Engineering organization, from intake meetings and sourcing strategy through candidate assessment, interview management, offer negotiation, and offer acceptance.
Partner with Engineering leaders, hiring managers, and HR Business Partners to align on hiring priorities, workforce needs, candidate profiles, and recruiting strategies.
Lead intake meetings to define role requirements, success profiles, interview process, hiring timeline, and sourcing approach.
Build and execute proactive sourcing strategies to identify and attract engineering and technical talent, especially for niche and hard-to-fill positions.
Manage multiple concurrent requisitions while maintaining conversion-ready candidate pipelines and consistent candidate flow.
Drive high-volume outreach and engagement using channels such as LinkedIn Recruiter, networking, referrals, email campaigns, direct sourcing, and industry engagement.
Conduct outbound calls and direct candidate engagement to increase response rates and accelerate pipeline conversion.
Identify, engage, assess, and convert both passive and active candidates through targeted outreach and relationship-building.
Run recruiter screens and evaluate candidates on qualifications, experience, compensation expectations, motivation, and fit.
Present qualified candidates and share hiring manager-ready assessments, recommendations, and recruiting insights.
Facilitate interview scheduling, candidate communications, debriefs, and hiring decisions across the recruitment process.
Provide real-time market intelligence, including talent availability, compensation insights, competitive hiring trends, and market conditions.
Partner with hiring managers, HR, and compensation stakeholders to develop offer strategies and close candidates.
Track recruiting activity, response rates, pipeline health, conversion metrics, and hiring progress using ATS and sourcing tools.
Maintain a high-quality candidate experience through timely communication, follow-ups, transparency, and professional engagement.
Continuously improve sourcing strategies, outreach messaging, recruiting process execution, and stakeholder coordination to increase efficiency and results.
Support workforce planning efforts, talent mapping, succession planning discussions, and proactive pipeline development.
Attend and support local job fairs, hiring events, military recruiting initiatives, networking events, and community outreach activities.

Requirements

Bachelor’s degree or equivalent professional experience.
5+ years of experience in full-cycle recruiting in fast-paced, fast-growth environments.
Proven experience supporting engineering, technical, manufacturing, industrial, energy, infrastructure, or technology hiring.
Demonstrated ability to manage 15+ concurrent requisitions while maintaining candidate quality and strong pipeline activity.
Proven track record of high-volume outreach (messages, emails, and calls) with strong engagement and conversion rates.
Strong proficiency with LinkedIn Recruiter and other sourcing platforms.
Experience partnering directly with hiring managers, business leaders, and HR partners on hiring strategy and talent acquisition initiatives.
Demonstrated success sourcing, assessing, and closing passive talent.
Data-driven mindset for tracking recruiting metrics, pipeline conversion, hiring outcomes, and time-to-fill.
Excellent communication, stakeholder management, and relationship-building skills.
Strong organizational skills with ability to prioritize and execute with urgency.

Technology

LinkedIn Recruiter
Applicant Tracking Systems (ATS)
CRM tools

Benefits

Competitive Pay
Medical, Dental, Vision, and Prescription Drug Insurance
Company-Paid Life Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA) with a company contribution
Wellness Programs and Incentives
401(k) Retirement Plan & Company Match
Paid Time Off – Sick & Vacation Time
Paid Holidays

Location and Work Model

Houston, TX (hybrid)
This is a temporary hybrid position based in the Houston area.
Team members may work from either of ERock’s Houston office locations based on business needs, collaboration opportunities, and interview activities.

Preferred Qualifications

Experience recruiting within power generation, energy, industrial services, manufacturing, infrastructure, engineering, or technology environments.
Familiarity with Applicant Tracking Systems (ATS) and CRM tools.
Experience with talent mapping, competitive intelligence, and workforce planning.
Experience supporting high-growth or scaling organizations.
Strong reporting and analytics experience.
Experience partnering directly with senior leaders and technical hiring managers.

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Today

Associate, Mechanical Engineer

L3Harris Technologies Greenville, TX

Greenville, TX

Today

Full time Design Design Engineering Engineering

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Job Description

The Associate, Mechanical Engineer will support mechanical design efforts for aircraft-related structures, mission equipment installations, and mechanical systems. The role involves research, layout development, engineering drawing preparation, and coordination of design activities using 3D solid modeling CAD tools.

Onsite Location and Schedule

Location: Greenville, TX (onsite)
Schedule: 9/80

Key Responsibilities

Participate in the design of detail parts, assemblies, and installations for aircraft structures, mission equipment installations, and mechanical systems installations.
Apply basic engineering design and/or analytical theory, including understanding of structural analysis, for use in integrated system design.
Conduct research and develop layouts; prepare engineering drawings; and coordinate design activities with Tooling, Flight Sciences, Manufacturing, and Production to help ensure designs meet requirements at minimum cost.
Complete mechanical design using world-class three-dimensional solid modeling CAD tools.
Work with senior-level design engineers on assigned tasks.
Support a wide range of tasks and aircraft systems across various aircraft platforms.

Required Education

Pursuing a Bachelor’s degree in Mechanical, Aerospace, Aeronautical, or Civil Engineering, or completed a Bachelor’s degree within the last 12 months.
Completion status applies regardless of age.

Tools and Technologies

Three-dimensional solid modeling CAD tools

Security Clearance Notice

Please note that many positions may require the ability to obtain a security clearance.

Security clearances may only be granted to U.S. citizens.
Applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.