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

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 ...

Full Stack Developer

Plano, TX · Remote

$65 - $75/hr

The Full Stack Developer role is responsible for designing, implementing, and maintaining software ... Design, build, and maintain full-stack application components, including database schemas, data ...

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 ...

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 ...

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 ...

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 ...

Full Stack Engineer

Fort Worth, TX · On-site

$120 - $160/hr

AI Talent Now job # ZR 86 We are looking for a Full Stack Engineer with 10+ years of experience to own features end‑to‑end on an AI operating system for commercial real estate that's been ...

New

Full Stack Engineer

Irving, TX · On-site

$125.76 - $188.64/hr

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 ...

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 ...

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 ...

Showing results 21-40

Full Stack Data Engineer information

See Arlington, TX salary details

$40K

$121.3K

$171.4K

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

As of Aug 20, 2026, the average yearly pay for full stack data engineer in Arlington, TX is $121,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $142,200.00 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 Arlington, TX?

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

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

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

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

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

Infographic showing various Full Stack Data Engineer job openings in Arlington, 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 $121,286 per year, or $58.3 per hour.

full stack developer

Staffingine LLC

Coppell, TX • On-site

Contractor

Re-posted 7 days ago


Job description

Job Title: Full Stack Developer
Job Location: Coppell, TX
Job Type: Contract

Job Description:

  • 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 portal applications using angular, ag-grid, Java with UI (User Interface) and Java API/Backend Components.
  • Good hands-on experience in managing multiple versions of apps at different environments, manage CICD pipeline for the application using bitbucket, Jenkins and git.
  • Good understanding of containers, and AWS technologies.
  • Experience in SQL , PL SQL functions on large scale Transactional and Analytical database systems like Oracle and Snowflake.