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Full Stack Data Scientist Jobs in Texas (NOW HIRING)

Promantus, Inc

Full Stack Data Engineer

Plano, TX · On-site

Data Engineer Location: Plano, TX Duration: Long Term Key Responsibilities: * Architect & Develop: Design high-performance, scalable backend services using the Python stack and have a good ...

Augusta Hitech

Java Full Stack Engineer

Plano, TX · On-site

$90 - $110/hr

Utilize Adeptia to support data integration activities and EDI transactions as part of enterprise ... At least a Bachelor's degree in Computer Science, Computer Information Systems, or Engineering ...

WhiteWater Express Car Wash

Full Stack Engineer

Houston, TX · On-site

$110 - $160/hr

Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ... Bachelor's degree in Computer Science or related field, or equivalent practical experience. * Proof ...

WhiteWater Express Car Wash

Full Stack Engineer

Houston, TX · On-site

$100K - $130K/yr

Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ... Bachelor's degree in Computer Science or related field, or equivalent practical experience. * Proof ...

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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 28, 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 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 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 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, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Full Stack Data Engineer

Promantus, Inc

Plano, TX • On-site

Other

Re-posted 7 days ago

Job description

Role: Data Engineer 
Location: Plano, TX
Duration: Long Term 

Key Responsibilities: 

  • Architect & Develop: Design high-performance, scalable backend services using the Python stack and have a good understanding of Java 17+ and Spring Boot for migration projects.
  • Data Integration: Build and maintain complex data pipelines and integration layers connecting our services to Databricks.
  • Security First: Implement rigorous authentication and authorization patterns using OAuth2, OIDC in Python.
  • AI Tooling: Develop backend frameworks that enable Agentic AI—creating tools, APIs, and "skills" that LLM-based agents can autonomously invoke.
  • Data Persistence: Optimize database interactions and schema designs using Python packages, and can understand existing flows of Spring Data JPA/Hibernate.
  • Hybrid Engineering: Use Python as the primary language and support, convert legacy Java code into Python.

Required Qualifications

  • Experience: 3 to 5 years of professional experience in backend development.
  • Python Stacks: Good hands-on experience with Python Stack for building backends, APIs, or ingestion and data processing layer on Databricks.
  • The Spring Stack: Good experience of Spring Boot, Spring JPA, and Spring Security.
  • Modern Java: Deep understanding of functional programming in Java, multithreading, and JVM tuning to support existing code or migrate to Python.
  • Cloud Data Warehousing: Hands-on experience with Databricks.
  • The AI Edge: Proven exposure to or a deep project-based understanding of working with AI to code using existing Archetypes and rules with all guardrails
  • CI/CD - Working with GitHub Actions and workflows for CI/CD

Apply