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Full Stack Data Engineer Jobs in Texas (NOW HIRING)

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 ...

Datalinx AI is an AI Data Refinery that transforms messy consumer data into clean, actionable fuel ... full-stack development with specialization in machine learning, data engineering, and knowledge of ...

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 ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

This is a full-stack data-engineering role spanning the complete Microsoft Fabric medallion architecture (Bronze, Silver, Gold, and Warehouse), covering source-system ingestion and Spark and PySpark ...

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 ...

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 ...

Our client is currently seeking a Full Stack Software Engineer Location : Austin, TX (Hybrid - 4 ... Familiarity with large-scale data analytics, logging, and monitoring tools (e.g., BigQuery, Splunk)

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 ...

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

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 ...

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 ...

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 ...

Showing results 41-60

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 17, 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.

Full Stack Engineer ID80989

AgileEngine

Austin, TX • On-site

Full-time

Posted 15 days ago


Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Full Stack Engineer to build and maintain features across a production healthcare platform, working with a modern technology stack including React, Next.js, TypeScript, Node.js, PostgreSQL, and RPC-based services. You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and collaborate closely with product, QA, and design teams in an Agile environment. This is a US-based, remote-friendly contract-to-hire opportunity for high-performing engineers.
WHAT YOU WILL DO
- Build and maintain full-stack features across the frontend using React, Next.js, and TypeScript.
- Develop backend services using Node.js, PostgreSQL, and RPC-based architectures.
- Contribute to AI and LLM-adjacent codebases.
- Work with systems that handle sensitive and regulated healthcare data.
- Collaborate closely with product, QA, and design teams in an Agile environment.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 4+ years of professional full-stack software engineering experience, with strong expertise in either frontend or backend development.
- Experience working with or willingness to work on AI/ML-adjacent codebases, including LLM or agent systems.
- Experience building systems that handle sensitive or regulated data, such as healthcare or fintech, is preferred.
- Strong sense of ownership and commitment to solving complex engineering challenges.
- Experience using remote collaboration tools such as GitHub, Slack, and JIRA.
- Strong communication and interpersonal skills.
- Excellent attention to detail and commitment to software quality.
- Strong software engineering foundation.
- Upper-intermediate English level.
NICE TO HAVES
- Experience working in the healthcare domain.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location