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Full Stack Data Engineer Jobs in Texas (NOW HIRING)

Full Stack Engineer

Houston, TX ยท On-site

$100/hr

The Full Stack Engineer develops, integrates, and maintains robust web and mobile applications that power modern digital experiences. This role bridges product vision and technical execution ...

Full Stack Engineer - Rust

Coppell, TX ยท On-site

$170K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role: Full-Stack Engineer (Rust) Who You Are: You're a senior full-stack engineer who ... Build data-dense, real-time interfaces - dashboards, map views, status panels - that stay ...

Full Stack Engineer

Westlake, TX ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and troubleshoot application, integration, and data quality issues to ensure system ... Full Stack Engineer, Software Engineer, or related development role supporting enterprise ...

They are seeking a Full Stack Developer to design, build, and maintain full-stack features across ... Data teams to translate ideas into impactful solutions, demonstrating ownership from concept to ...

Full-Stack Developers Type: Contract-to-Hire Location: Hybrid - Dallas Tech Hub (Dallas, TX) or ... Write and optimize SQL queries for data validation, reporting, and backend support. * Collaborate ...

Looking for a strong full stack developer with experience in developing angular based data heavy web applications with Java, spring boot, hibernate in middle layer. * Experience in developing web ...

Software Engineer - Full Stack & AI Build Intelligent Software That Drives Innovation We're looking ... Knowledge of data science or data engineering concepts. Why Join Us * Build modern, cloud-native ...

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

Showing results 21-40

Full Stack Data Engineer information

See Texas salary details

$41.5K

$125.6K

$177.5K

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

As of Aug 18, 2026, the average yearly pay for full stack data engineer in Texas is $125,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What cities in Texas are hiring for Full Stack Data Engineer jobs?

Cities in Texas with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,560 per year, or $60.4 per hour.

Senior Full Stack Software Engineer

Mariana Minerals

Houston, TX โ€ข On-site

$150K - $220K/yr

Full-time

Re-posted 14 days ago


Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Role Overview
Mariana Minerals is looking for an experienced Senior Full Stack Software Engineer to lead critical technical initiatives in building the next-generation critical minerals supply chain to support the world's energy transition.
As a Senior Full Stack Software Engineer at Mariana Minerals, you will architect, lead, and deliver software systems that accelerate the engineering and construction of physical infrastructure critical to building the minerals supply chain. You will drive technical strategy, mentor team members, and own end-to-end delivery of complex systems. Key responsibilities include designing and implementing robust integrations with existing engineering and construction software tools, architecting scalable solutions to address pain points identified by Mariana's internal teams, leading cross-functional collaboration with ML engineers to integrate LLMs for unstructured data challenges, and spearheading the development of a new "operating system" for the engineering, construction, and operation of Mariana's mineral processing facilities.
This is a truly full-stack role where you'll be expected to write production-quality frontend code while also demonstrating deep understanding of system design and backend architecture. You'll move seamlessly between user interfaces and distributed systems, ensuring excellence at every layer of the stack.
What You'll Do
  • Lead the technical design and architecture of internal software tools, ensuring scalability, reliability, and maintainability while working closely with engineering, construction, and operations teams.
  • Architect and implement complex data integrations with enterprise engineering/construction tools such as Autodesk, establishing best practices for API design and data synchronization.
  • Drive the development of sophisticated web applications and platforms used by internal teams and partners, making key technical decisions on frameworks, infrastructure, and deployment strategies.
  • Conduct thorough technical evaluations of third-party software solutions, providing strategic recommendations on build-vs-buy decisions and integration approaches.
  • Lead cross-functional initiatives with ML engineers to design and implement production-ready ML, RL, and LLM-powered features, ensuring robust error handling and scalable architecture.
  • Mentor junior engineers, conduct code reviews, and establish engineering best practices across the team.
  • Participate in technical strategy discussions and contribute to long-term technology roadmap planning.
  • Own production reliability and performance optimization for critical systems.
What You'll Bring
  • 5+ years of professional software engineering experience with a proven track record of delivering complex, production systems.
  • Deep expertise across the full stack, with demonstrated ability to make architectural decisions spanning frontend frameworks, backend services, databases, and cloud infrastructure.
  • Strong experience translating business requirements from non-technical stakeholders into robust technical solutions, with ability to communicate complex technical concepts clearly.
  • Proven leadership experience, whether through formal management, technical lead roles, or driving cross-functional initiatives.
  • Excellence in system design and architecture, with experience in distributed systems, microservices, and event-driven architectures.
  • Track record of working in ambiguous, fast-paced environments and bringing structure to complex technical challenges.
  • Experience with modern web frameworks (React/Vue), backend technologies (Node.js/Python/Go), and cloud platforms (AWS/GCP).
  • Strong understanding of DevOps practices, CI/CD pipelines, and infrastructure as code.
  • Experience with data engineering, ETL pipelines, or ML/AI integration is a plus.
  • Startup experience in a rapidly scaling company is helpful but not required.
  • Domain experience in manufacturing, industrial automation, or capital projects is beneficial but not required.
Our culture is built on three principles:
Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply.