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

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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 ...

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 ... scale data processing. • Process and analyze large datasets using Python, SQL, and Spark ...

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 ... scale data processing. • Process and analyze large datasets using Python, SQL, and Spark ...

IT America Inc

Full Stack Developer

Dallas, TX · Remote

Position: Full Stack Developer Location: Remote Duration: Long term contract We are seeking a ... Implement business logic, data processing workflows, and integrations with third-party services.

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 ...

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 ...

Business Centric Technology

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 ...

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Showing results 1-20

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

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 Jul 30, 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 engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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 does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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 engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 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.
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:
Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Arlington, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,286 per year, or $58.3 per hour.

Sr. Full Stack Data Engineer

Hadiamondstar Software Solutions LLC

Dallas, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview

We are seeking a Senior Full Stack Data Engineer to design, build, and support data-driven applications, APIs, and automation solutions for a large banking environment. This role combines front-end development, backend engineering, data integration, and cloud technologies to deliver scalable solutions that improve operational efficiency, data accessibility, and business decision-making.

Required Qualifications

  • 7+ years of software engineering, data engineering, or application development experience.
  • Strong SQL skills and hands-on experience with relational databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
  • Experience developing modern web applications using React or Angular.
  • Proficiency in Python and/or R for application development, data processing, and analytics.
  • Experience building RESTful APIs and system integrations.
  • Experience developing automation solutions using Python scripting, Power Automate, or similar tools.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Strong understanding of software development best practices, testing, and deployment methodologies.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience within banking, financial services, or other regulated industries.
  • Experience building scalable integrations across internal and external platforms.
  • Experience with Snowflake and modern cloud data platforms.
  • Knowledge of data governance and data management tools, including Informatica.

Key Responsibilities

  • Design, develop, and maintain data-driven applications and services that integrate with banking systems.
  • Build modern user interfaces, dashboards, reporting tools, and workflow applications using React or Angular.
  • Develop and maintain backend services, APIs, and integrations to support business and operational processes.
  • Create and optimize data pipelines that ingest, transform, and harmonize data from multiple sources.
  • Build automation frameworks and workflow solutions to reduce manual effort and improve operational efficiency.
  • Develop and optimize SQL-based data models, queries, and reporting solutions.
  • Leverage cloud technologies to support scalable and secure application development.
  • Collaborate with product owners, data scientists, DevOps engineers, and QA teams to deliver end-to-end solutions.
  • Ensure application performance, security, and regulatory compliance within a banking environment.
  • Provide technical leadership, mentorship, and best-practice guidance to engineering team members.
  • Support data governance and data management initiatives, including tools such as Informatica.

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