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Full Stack Data Engineer Jobs in Texas (NOW HIRING)

NxT Level

Full-Stack Engineer

Austin, TX · On-site

Full-Stack Engineer, AI-Native Platform Team Loves top schools. Atheletes Debate Winners and people that do hackathons at schools. Highly competitive team. Location: Austin, TX Work Style: Fully in ...

Stellar IT Group

Full-stack developers

Dallas, TX · On-site

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 ...

Hired Recruiters

Full Stack Engineer

Austin, TX

As a full stack software engineer at the company, you'll work on various user-facing applications and tools for data management, annotation, and mapping. You will: * Work closely with design and ...

Humindustrial

Full Stack Engineer

Austin, TX · On-site

Hum is hiring a Full Stack Engineer to lead our scaling efforts. As an early hire at Hum, this role ... Design and operate the data and API layer on Supabase (Postgres, auth, storage, and real‑time ...

NxT Level

Full-Stack Engineer

Austin, TX · On-site

Full-Stack Engineer, AI-Native Platform Team Loves top schools. Atheletes Debate Winners and people that do hackathons at schools. Highly competitive team. Location: Austin, TX Work Style: Fully in ...

Staffingine LLC

full stack developer

Coppell, TX · On-site

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 ...

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 ...

Kovoro

Full Stack Software Engineer

Austin, TX · On-site

As Full Stack Engineer you will ship customer-visible product across the entire stack: React ... Working knowledge of Postgres and basic data modeling * Comfortable owning features from spec ...

Fracht USA

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 ...

Lorven Technologies

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Our client is looking Data Engineer for Long Term project in Houston, TX (onsite only) Below is the ... Full-stack exposure (Angular/Node.js preferred) Key Responsibilities • Design, build, and ...

Datalinx AI

Senior Full-Stack Engineer

Austin, TX · On-site

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 ...

AgileEngine

Full Stack Engineer ID80989

Austin, 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 ...

AgileEngine

Full Stack Engineer ID80989

Texas City, TX · On-site +1

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 ...

AgileEngine

Full Stack Engineer ID80989

Houston, TX · On-site +1

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 ...

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Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Texas

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 Sep 10, 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 are popular job titles related to Full Stack Data Engineer jobs in Texas?

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

What job categories do people searching Full Stack Data Engineer jobs in Texas look for?

The top searched job categories for Full Stack Data Engineer jobs in Texas are:

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

Cities in Texas 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 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

Austin, TX • On-site

NxT Level
See more jobs at NxT Levelexternal

Full-time

Posted 24 days ago

Job description

Full-Stack Engineer, AI-Native Platform
Team Loves top schools.
Atheletes
Debate Winners and people that do hackathons at schools. Highly competitive team.
Location: Austin, TX
Work Style: Fully in-person
Employment Type: Full-time
Experience: 2-4 years preferred, open to more experienced candidates
Focus: AI Agents, Full-Stack TypeScript, AWS, Legal/Government Workflows
About Our Client
Our client is building an AI-native platform for complex legal and government workflows.
The company is hiring two full-stack engineers to join the team in Austin and help build production-grade agent systems from the ground up. This is not a traditional software engineering role where success is measured by how much code someone writes by hand. The team is building with coding agents at the center of the development process.
The right candidate will be defined by their ability to orchestrate AI tools, move quickly, think in systems, and ship production-quality software at a dramatically faster pace than a traditional engineering workflow.
About the Role
Our client is looking for Full-Stack Engineers who can operate in an AI-native engineering environment.
The platform is TypeScript-heavy across the full stack, with AWS infrastructure underneath. While technical depth matters, the core differentiator for this role is the ability to use coding agents, LLMs, and multi-agent workflows to ship at exceptional speed.
This is a strong fit for a builder who has worked in early-stage environments, enjoys ambiguous technical problems, and knows how to turn AI tools into real production leverage.
What You'll Do
  • Build and ship full-stack product features across a TypeScript-heavy platform
  • Architect and orchestrate multi-agent systems across the product
  • Design agent coordination patterns for complex legal reasoning workflows
  • Build reliable, auditable agent pipelines for legal and government use cases
  • Ship agent systems into production
  • Use coding agents as a primary part of the engineering workflow
  • Work across frontend, backend, infrastructure, and product experience
  • Contribute to UI/UX decisions and build intuitive workflows for complex users
  • Partner closely with the founding team to move quickly from idea to shipped product
  • Help define the engineering culture, AI-native development standards, and platform architecture

What We're Looking For
  • 2-4 years of software engineering experience, ideally in startup environments
  • Strong Python and TypeScript experience
  • Strong understanding of LLM capabilities, limitations, and orchestration patterns
  • Experience using coding agents or AI development tools to ship faster
  • Systems thinking and the ability to break complex workflows into reliable architecture
  • Ability to operate with high ownership in a fast-moving, in-person startup environment
  • Strong problem-solving ability and a high raw-intelligence bar
  • Comfort working across frontend, backend, and infrastructure
  • Ability to start quickly
  • U.S. citizenship required
  • Must be based in or willing to relocate to Austin, TX for fully in-person work

Strong Bonus Experience
  • Founder, founding engineer, or early engineer experience at a high-growth startup
  • Experience at a YC-backed or similarly high-velocity startup
  • Experience building AI products in legal tech, government technology, or regulated workflows
  • Open-source contributions to agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI Swarm, DSPy, Instructor, LlamaIndex, or similar tools
  • Experience shipping multi-step reasoning, tool-use, or parallel agent orchestration systems in production
  • Experience with AI voting agents or multi-agent coordination patterns
  • Strong UI/UX sensibility
  • Personal side projects or demos showing production-quality multi-agent orchestration
  • Prior experience helping an early-stage company scale

Why This Opportunity
  • Join an early team building an AI-native platform in a complex, high-impact market
  • Work in an environment where coding agents are central to how software gets built
  • Own meaningful product and architecture decisions from day one
  • Build production-grade agent systems for legal and government workflows
  • Work across full-stack product development, agent orchestration, and AWS infrastructure
  • Join a fully in-person Austin team moving with urgency
  • Step into a role where speed, systems thinking, and AI-native execution are the main competitive advantages

Apply