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Full Stack Data Engineer 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 ...

Skyknight Capital

Full Stack Engineer

Houston, TX · On-site

$100K - $130K/yr

Senior Director of Data Engineering Salary: $100,000 - $130,000, commensurate with experience Position Overview We are seeking an innovative and detail-oriented Full Stack Engineer to lead the design ...

1 point system

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

You will act as a "Full Stack" data professional, handling everything from infrastructure ... Azure DevOps) to ensure reproducible environments. * Performance Tuning: Optimize streaming ...

Datalinx AI

Full-Stack Engineer

Austin, TX · On-site

Datalinx AI is an AI Data Refinery that transforms messy consumer data into actionable insights for AI applications. As a Full-Stack Engineer, you will design, develop, and implement end-to-end data ...

NEWMARK

IT Engineering Manager

Dallas, TX · On-site

$200K - $250K/yr

Lead, grow, and retain multiple high-performing engineering teams spanning full-stack, data engineering, and AI/agentic AI builders. * Own end-to-end delivery, quality, reliability, and operational ...

NEWMARK

IT Engineering Manager

Dallas, TX · On-site

$200K - $250K/yr

Broad technical breadth across full-stack web development (JavaScript/TypeScript, React; backend languages such as C#, Node.js, or Java), data engineering (SQL, Python, cloud data platforms, ETL/ELT ...

TiltEdge Solutions LLC

AI Full Stack Engineer

Plano, TX · On-site

$95K - $105K/yr

AI Full Stack Engineer Work Location: Plano, TX Duration: Fulltime/Direct Hire * Design and build ... Build and maintain ETL/ELT pipelines for large-scale data processing. * Process and analyze large ...

TiltEdge Solutions LLC

AI Full Stack Engineer

Plano, TX · On-site

$100K - $110K/yr

AI Full Stack Engineer Work Location: Plano, TX Duration: Fulltime/Direct Hire * Design and build ... Build and maintain ETL/ELT pipelines for large-scale data processing. * Process and analyze large ...

McLane Company

Sr Full Stack Engineer

Temple, TX · Hybrid

This role sits at the intersection of data engineering, BI, and full-stack development, focused on creating a unified "Cockpit" experience that eliminates fragmented reporting and delivers intuitive ...

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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 Data Engineer

Plano, TX • On-site

Promantus, Inc
11 - 50 employees
Learn more about Promantus, Incexternal

Other

Re-posted 19 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

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