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Full Stack Data Engineer Jobs in Dallas, TX (NOW HIRING)

BravoTech

Full Stack Engineer - Junior

Richardson, TX · On-site

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 ...

AgileEngine

Full Stack Engineer ID80989

Dallas, TX · On-site

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 ...

Stellar IT Group

Full-Stack .NET Developer

Dallas, TX · On-site

Full-Stack .NET Developer Contract-to-Hire Onsite - Fort Wayne, IN or Dallas, TX (Dallas Locals ... Advanced SQL skills (querying, performance tuning, data work). * Middleware, API, and service-based ...

Mastech Digital

Full Stack Engineer

Dallas, TX · On-site

$110K - $130K/yr

We are seeking a skilled Full Stack Engineer to design and develop robust web applications with expertise in both frontend and backend technologies. This role involves working with Angular and Spring ...

Citigroup, Inc.

Full Stack Engineer

Irving, TX · On-site

From a technical standpoint, the Software Engineer has full-stack coding and implementation ... Clear understanding of Data Structures and Object-Oriented Principles using Java * Practical ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Ensure data integrity, security, and performance. AI & Automation Development * Assist in the ...

Humana

Senior Full Stack Engineer

Dallas, TX · On-site +1

Become a part of our caring community We are seeking a Senior Full Stack Engineer to join our team ... Ensure production readiness, release management, and adherence to security, compliance, and data ...

Humana

Senior Full Stack Engineer

Dallas, TX · On-site +1

Become a part of our caring community We are seeking a Senior Full Stack Engineer to join our team ... Ensure production readiness, release management, and adherence to security, compliance, and data ...

Humana

Senior Full Stack Engineer

Dallas, TX · On-site +1

Become a part of our caring community We are seeking a Senior Full Stack Engineer to join our team ... Ensure production readiness, release management, and adherence to security, compliance, and data ...

Humana

Senior Full Stack Engineer

Frisco, TX · On-site +1

Become a part of our caring community We are seeking a Senior Full Stack Engineer to join our team ... Ensure production readiness, release management, and adherence to security, compliance, and data ...

Humana

Senior Full Stack Engineer

Frisco, TX · On-site +1

Become a part of our caring community We are seeking a Senior Full Stack Engineer to join our team ... Ensure production readiness, release management, and adherence to security, compliance, and data ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Dallas, TX

Full Stack Data Engineer information

See Dallas, TX salary details

$44.2K

$133.9K

$189.3K

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

As of Aug 17, 2026, the average yearly pay for full stack data engineer in Dallas, TX is $133,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $157,000.00 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 are popular job titles related to Full Stack Data Engineer jobs in Dallas, TX?

For Full Stack Data Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Full Stack Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Full Stack Data Engineer jobs?

Cities near Dallas, TX with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,887 per year, or $64.4 per hour.

Full Stack Java Engineer

SWITS DIGITAL Private Limited

Dallas, TX • On-site

Full-time

Re-posted 7 days ago

Job description

Hi ,
Greetings from Smart Work IT Services.
Title: Full Stack Java Engineer (Java + React + AI Exposure)
Location: Dallas, TX - In Person Interview (Final Level) - Onsite
Key Responsibilities
  • Design, develop, and enhance enterprise-grade full-stack applications using Java and React.
  • Modernize and maintain legacy Java-based systems while building scalable enhancements.
  • Develop and support client-facing portals using React or similar modern front-end frameworks.
  • Work across multiple technologies and systems in a polyglot engineering environment.
  • Integrate AI/agentic capabilities into existing workflows and applications.
  • Build and support lightweight Python-based AI integrations and automation components.
  • Collaborate across engineering teams to evolve application architecture and platform capabilities.
  • Contribute to technical design, system integration, debugging, and performance optimization efforts.

Required Technical Skills
Full Stack Engineering (Primary Requirement)
  • Strong hands-on experience in Java backend development.
  • Proven expertise building and supporting complex full-stack applications.
  • Strong experience with React.js or comparable modern front-end frameworks.
  • Experience working with enterprise applications spanning legacy and modern architectures.
  • Comfortable navigating and contributing across multiple layers of the application stack.

Polyglot Engineering Capability
  • Ability to work across multiple languages and technology stacks.
  • Comfortable contributing beyond a single-stack specialization.
  • Strong engineering fundamentals with adaptability across evolving technologies.

AI / Agentic Systems Exposure (Important Secondary Requirement)
We are not looking for:
  • Pure AI/ML researchers or specialists.
  • Deep model-training or core ML engineering profiles.
  • Candidates limited exclusively to Python/LLM development.

We are looking for engineers who have:
• Experience integrating AI or agentic workflows into business applications.
• Practical exposure to Python-based custom development.
• Experience building AI-assisted workflows such as:
OCR + LLM-driven document extraction
Validation against contracts, leases, or business rules
Intelligent payment or invoice verification systems
Agentic workflow orchestration
• Familiarity with Foundry-like or agentic development environments is a plus.
Preferred Candidate Profile
We strongly prefer strong, fungible engineering generalists who:
  • Are exceptional Java + React full-stack engineers.
  • Can contribute to light-to-moderate AI/agentic engineering work.
  • Are comfortable learning and expanding into emerging LLM/agentic ecosystems over time.
  • Operate effectively across diverse and evolving enterprise systems.

What We Want to Avoid
  • Pure Java-only engineers unwilling to work across broader systems.
  • Pure AI/ML specialists without strong full-stack engineering capability.
  • Candidates unable to comfortably navigate full-stack enterprise applications.
  • Highly narrow specialists with limited adaptability across technologies.

Evaluation Criteria
Primary Evaluation
  • Demonstrated expertise in Java + React full-stack development on complex enterprise systems.

Secondary Evaluation
  • Evidence of integrating or building AI/agentic capabilities using Python or similar technologies.

Mindset & Engineering Style
  • Strong utility mindset.
  • Flexibility and adaptability across technologies.
  • Comfort operating in fast-evolving technical environments.
  • Preference for broad engineering capability over narrow specialization.

Apply