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

Full Stack Engineer

Houston, TX ยท On-site

$100K - $130K/yr

Full Stack Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ...

Full Stack Engineer

Houston, TX ยท On-site

$100K - $130K/yr

Full Stack Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware ...

Full Stack Engineer

Houston, TX ยท On-site

$75 - $95/hr

Full Stack Engineer Location: Houston, TX (Hybrid) Job Type: Contract-to-Hire Pay: $75.00 -$95.00 ... Solid understanding of application design patterns, data architecture, and database interactions.

Full Stack Engineer

Houston, TX ยท On-site

$75 - $95/hr

Full Stack Engineer Location: Houston, TX (Hybrid) Job Type: Contract-to-Hire Pay: $75.00 -$95.00 ... Solid understanding of application design patterns, data architecture, and database interactions.

This role blends traditional full-stack development with low-code platforms, data engineering, and agent-based automation to deliver scalable, cloud-native business solutions. The developer will work ...

New

Full Stack Engineer

Houston, TX ยท On-site

$100/hr

The Full Stack Engineer develops, integrates, and maintains robust web and mobile applications that power modern digital experiences. This role bridges product vision and technical execution ...

Senior Data Engineer

Houston, TX ยท 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 ...

These Full Stack Developer openings are 12 month contracts. These positions are not open for ... Software Engineer, Software Developer, Programming, Programmer Analyst, Texas Recruiters ...

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Showing results 1-20

Full Stack Data Engineer information

See Houston, TX salary details

$42.5K

$128.7K

$181.9K

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 Houston, TX is $128,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $150,900.00 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 Houston, TX? For Full Stack Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Houston, TX look for? The top searched job categories for Full Stack Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Full Stack Data Engineer jobs? Cities near Houston, TX with the most Full Stack Data Engineer job openings:
Infographic showing various Full Stack Data Engineer job openings in Houston, 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 $128,702 per year, or $61.9 per hour.

Full Stack Engineer

WhiteWater Express Car Wash

Houston, TX โ€ข On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Full Stack Engineer
Note: Position is not eligible for visa sponsorship.
At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for people. Our dedicated team members are leaders within the company, and we believe that personal growth is the key to our organizational success. If you are a self-starter, motivated, and ready to take on new challenges, we want you to succeed with us, as a part of a rapidly growing business.
Location: 106 Vintage Park Blvd. Houston, TX 77070
Position Overview
We are seeking an innovative and detail-oriented Full Stack Engineer to lead the design, development, and deployment of internal web applications, reporting tools, and middleware services. Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware, and reporting platform-building the tools that turn car wash operations and CRM data into intuitive, actionable applications that drive day-to-day and strategic decisions across the company.
This is a full-stack Node.js role with meaningful ownership of the front-end data stack, middleware, and APIs. You'll work alongside our Data Engineer, who partners with you on the cloud infrastructure-you bring strong application and integration skills, and the two of you cover the AWS environment together. A key component of this role is leveraging AI tools-such as Claude.ai and other generative AI platforms-to accelerate development and deliver production-ready solutions.
What You'll Build
Our POS middleware, internal portal and new reporting features power operational and business decision-making across a fast-growing, multi-site car wash company. You'll design intuitive interfaces, maintain the middleware and APIs that connect our internal systems and CRM data, and partner with the Data Engineering team to deliver a reliable, well-structured front-end data stack.
Key Responsibilities
  • Design, build, and maintain a scalable internal portal (Next.js) and new reporting features using Node.js and Fastify.
  • Build type-safe APIs and middleware using Fastify with Zod for schema validation.
  • Develop responsive, data-rich front-end interfaces using React and Next.js.
  • Use AI tools (e.g., Claude.ai, MCP) to accelerate development of web applications, middleware, and back-end features.
  • Critically review, test, and validate all AI-generated code and output to ensure it is secure, performant, and production-ready-treating AI as an accelerator, not a substitute for engineering judgment.
  • Apply strong UI/UX practices to create intuitive, clear, and actionable interfaces.
  • Develop and maintain middleware and APIs, integrating internal systems and CRM data sources.
  • Build and operate cloud-based application services on AWS, including containerized deployments on Fargate, partnering with the Data Engineer on infrastructure as needed.
  • Handle CRM and operational data responsibly, following least-privilege and secure-by-default practices (e.g., Secrets Manager for credentials, scoped access to data).
  • Collaborate closely with the Data Engineer to define and own the front-end data stack.
  • Collaborate with business leaders and the Data Engineering team to gather requirements and deliver solutions.
  • Document applications and provide training and support to business users.
  • Use Python as needed for scripting, data processing, or integration tasks alongside the Data Engineering team.
  • Maintain and extend existing PHP-based systems and integrations as needed.

Required Qualifications
  • 5+ years of full-stack software development experience.
  • Advanced Node.js skills, including building and maintaining production web applications and APIs.
  • Strong skills in HTML, CSS, and JavaScript for web application and data-input interfaces.
  • Strong SQL and data modeling knowledge (PostgreSQL; facts, dimensions, star schema).
  • Working knowledge of AWS application services and a willingness to grow into our environment (you won't need to own every service).
  • Experience using AI tools in a development workflow, including the ability to validate, test, and refine AI-generated code rather than accepting output at face value.
  • Experience with Git/GitHub version control.
  • Strong analytical, problem-solving, and communication skills.
  • Bachelor's degree in Computer Science or related field, or equivalent practical experience.
  • Proof of U.S. citizenship is required; this position is not eligible for visa sponsorship.

Preferred Qualifications
  • Experience with any of the following is a plus, but not required-you'll work with our Data Engineer across the broader environment:
  • Hands-on AWS experience across some of: ECS/Fargate, ECR, Lambda, Application Auto Scaling; RDS (PostgreSQL), S3; SNS, SQS, EventBridge; Elastic Load Balancing, API Gateway, CloudFront; EC2 networking (VPC, subnets, security groups, route tables, gateways); Secrets Manager; CloudWatch.
  • Experience deploying and managing infrastructure with CloudFormation.
  • AWS certifications are a plus such as AWS Certified Developer - Associate or AWS Certified Solutions Architect - Associate.
  • Experience with CI/CD pipelines and deployment automation.
  • Experience designing middleware and event-driven architectures.
  • Working knowledge of Python and/or PHP is a plus.

Benefits
  • Comprehensive Health Benefits (Medical, Dental & Vision)
  • Paid Time Off in addition to Company Paid Holidays
  • 401(k) Retirement Plan with Company Match
  • Company-Paid Life Insurance
  • Pathways to Advancement
  • Free Weekly Car Washes

Our employees are our most valuable asset. We only employ the best people in the service industry who embrace new challenges with enthusiasm. If you are looking for professional development with advancement opportunities in a fast-growing organization, come join our Team!
#INDCorp