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Full Stack Data Scientist Jobs in Texas (NOW HIRING)

NEWMARK

IT Engineering Manager

Dallas, TX · On-site

$200K - $250K/yr

Lead, grow, and retain multiple high-performing engineering teams spanning full-stack, data ... Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred. * 12+ years of ...

Cymertek

Full Stack Software Engineer

San Antonio, TX · On-site

Full Stack Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Development, Computer Engineering, Data Science, Information Systems, Cloud Computing ...

Staffingine LLC

Full Stack Developer

Austin, TX · On-site

Job Title: Sr. Full stack Developer Job Location: Austin, Texas Job Type: Contract * Architect and ... Collaborate with product managers data engineers data analysts data scientists and other ...

3M

Full Stack / IOT Developer

Austin, TX · On-site

Full Stack / IOT Engineer Collaborate with Innovative 3Mers Around the World Choosing where to ... Collaborate closely with firmware, hardware, data-science and product teams, and coordinate with ...

Jobtailor

Principal Data Scientist

Atlanta, TX · On-site

$140 - $190/hr

Collaborating with full stack engineers to integrate AI models into business workflows, using AI ... Requirements * 7-10 years of demonstrated experience in data science or machine learning, with a ...

iTech US, Inc.

Java Full Stack Developer

Dallas, TX · On-site

$52.25 - $67.25/hr

They act as a bridge between the unseen data and the visible interface. Key Responsibilities ... At least a bachelor s degree (or equivalent experience) in Computer Science, Software Engineering ...

New

3M

Full Stack / IOT Developer

Austin, TX · On-site

Full Stack / IOT Engineer Collaborate with Innovative 3Mers Around the World Choosing where to ... Collaborate closely with firmware, hardware, data-science and product teams, and coordinate with ...

Saronic Technologies

Full Stack Engineer

Austin, TX · On-site

Required : • Bachelor's degree in Computer Science, Engineering, or related field; Master ... data structures, and algorithms • Experience with server-side development using Node.js and ...

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Showing results 21-40

All JobsFull Stack Data Scientist JobsFull Stack Data Scientist Jobs in Texas

Full Stack Data Scientist information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do full stack data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full stack data scientist in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full stack data scientist?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a full stack data scientist?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do full stack data scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

What are the most commonly searched types of Full Stack Data Scientist jobs in Texas? The most popular types of Full Stack Data Scientist jobs in Texas are:
What are popular job titles related to Full Stack Data Scientist jobs in Texas? For Full Stack Data Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Scientist jobs in Texas look for? The top searched job categories for Full Stack Data Scientist jobs in Texas are:
Full Stack Data Scientist jobs near you
Infographic showing various Full Stack Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

IT Engineering Manager

NEWMARK

Dallas, TX • On-site

$200K - $250K/yr

Full-time

Medical, Dental, Vision

Posted 8 days ago

Newmark rating

9.2

Company rating: 9.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

9th of 201 rated real estate companies

Job description

Responsibilities
  • Lead, grow, and retain multiple high-performing engineering teams spanning full-stack, data engineering, and AI/agentic AI builders.
  • Own end-to-end delivery, quality, reliability, and operational health of cloud-native platforms across front-end, backend, data, and AI layers.
  • Manage, mentor, and develop engineers and senior engineers; set clear goals, deliver performance reviews, and drive career growth.
  • Own hiring end to end, building strong, diverse teams through effective recruiting, interviewing, onboarding, and workforce planning.
  • Set and enforce engineering standards and best practices for architecture, code quality, testing, security, and deployment, including responsible use of AI-assisted development tools.
  • Partner with product, design, data, and business leadership to translate strategy into scalable technical roadmaps and prioritized execution plans.
  • Drive adoption of agentic AI, LLM tooling, and modern engineering practices to increase developer velocity and unlock new product capabilities.
  • Provide architectural guidance and lead technical design reviews across full-stack, data engineering, and AI initiatives.
  • Establish healthy Agile and delivery processes, metrics, and operational rigor, including planning, estimation, on-call, and incident management.
  • Manage cross-team dependencies, risks, and coordination for complex, multi-quarter initiatives.
  • Foster a culture of ownership, inclusion, technical excellence, and continuous learning.
  • Communicate status, tradeoffs, and technical concepts clearly to both engineers and senior or executive stakeholders.
  • Balance hands-on technical involvement with people leadership, remaining credible and close to the work while leading through others.

Qualifications
Basic Qualifications
  • Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred.
  • 12+ years of experience in software or data engineering, including 4+ years directly managing engineering teams.
  • Proven track record of building, scaling, and retaining high-performing engineering teams.
  • Broad technical breadth across full-stack web development (JavaScript/TypeScript, React; backend languages such as C#, Node.js, or Java), data engineering (SQL, Python, cloud data platforms, ETL/ELT), and AI (LLM and agentic AI, RAG).
  • Strong understanding of distributed systems, microservices, API design (REST/GraphQL), and cloud-native architecture (Azure, AWS, or GCP).
  • Experience delivering data platforms and pipelines, with familiarity with data modeling, governance, and/or master data management (MDM) concepts.
  • Hands-on familiarity building or integrating agentic AI and LLM-powered systems and orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP).
  • Strong grasp of CI/CD, infrastructure as code, and DevOps/DataOps practices.
  • Excellent people leadership, communication, and stakeholder-management skills.
  • Proven ability to drive delivery across multiple teams and influence technical direction across the organization.

Preferred Qualifications
  • Experience managing managers or team leads within a multi-team organization.
  • Experience leading teams that have shipped AI/ML or agentic AI products to production at scale.
  • Experience with event-driven and streaming architectures and real-time data processing (e.g., Kafka, Event Hubs, Kinesis).
  • Familiarity with containerization and orchestration (Docker, Kubernetes) and workflow orchestration (Airflow, Dagster, dbt).
  • Prior experience in commercial real estate, fintech, or operations/transaction systems.
  • Track record of speaking, writing, or open-source and community leadership, especially in applied AI.

Why Join Us?
  • Lead and shape the technical direction of business-critical platforms at enterprise scale, spanning full-stack, data, and next-generation agentic AI initiatives.
  • Build and grow a high-impact organization where ownership, innovation, and technical excellence drive success.
  • Competitive compensation, growth opportunities, and access to world-class engineering, data, and AI resources.
  • Collaborative Culture: Lead a high-caliber team with deep expertise across full-stack development, cloud, data engineering, and agentic AI.
  • Growth & Learning: Access world-class learning resources and mentorship to advance your career and those of your team.
  • Work-Life Balance: Flexible working hours and hybrid options.
  • Benefits: Comprehensive health, dental and vision insurance.

If you're passionate about building high-performing teams, delivering scalable systems across full-stack, data, and AI, and shaping engineering culture, we'd love to hear from you!
Apply now and help lead the future of engineering and AI at scale!
Salary
The expected base salary for this position ranges from $200,000 to $250,000 annually. The actual base salary will be determined on an individualized basis taking into account a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package, this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.).

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