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

Software Engineer - Full Stack

Houston, TX ยท On-site

$110 - $160/hr

This role owns end-to-end development across modern web frontends, APIs, microservices, and data ... Platform Engineering: Full Stack: Design, develop, and optimize end-to-end applications using C# ...

New

Onware Business Solutions Inc. is a leading consulting firm specializing in transforming data into ... Develop and maintain full-stack software solutions using .NET, C#, and modern web technologies

Gym membership, cell phone reimbursement, $100/month meal allowance Role Overview We are seeking a seasoned Full Stack Developer to support a mature enterprise application environment. This role ...

Azure Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card ... Full stack experience, Azure functions, Datalake, Databricks logic app, tableau Experience ...

This role demands a solid understanding of client, server, and data tier architecture, combined ... the full stack * 4+ years of experience in a technical lead role * Experience in commodities ...

As a Full Stack Developer, you will support the Creative Team - Web Services by developing and maintaining DNN websites and web-based solutions using HTML, CSS, and JavaScript. Responsibilities The ...

Full-Stack Software Engineer

Houston, TX ยท On-site

$100 - $140/hr

THE ROLE As a Full-Stack Software Engineer (SWE), you may work on projects that require strong execution, communication, analytical judgment, and the ability to move quickly in ambiguous environments.

New

The Full Stack Software Engineer is responsible for developing web applications using third-party and in-house frameworks. The Full Stack Software Engineer uses shared components and develop back-end ...

New

Showing results 21-40

Full Stack Data Engineer information

See La Marque, TX salary details

$40.8K

$123.6K

$174.7K

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 La Marque, TX is $123,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $144,900.00 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 job categories do people searching Full Stack Data Engineer jobs in La Marque, TX look for?

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

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

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

Software Engineer - Full Stack

Worky

Houston, TX โ€ข On-site

$110 - $160/hr

Other

Posted 2 days ago

New


Job description

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025.

Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country.

At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions.

If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.

Position Summary:

The Software Engineer - Full Stack drives measurable business impact by building scalable, secure, and high-performing digital platforms that accelerate product delivery, operational efficiency, and customer outcomes. This role owns end-to-end development across modern web frontends, APIs, microservices, and data layers, ensuring resilient architecture and seamless cloud integration. Leveraging AI as a force multiplier, the engineer enhances development speed, code quality, system reliability, and data-driven decision-making. Operating within Empower's hyper-growth, highly regulated 503A/503B environment, this position ensures compliance, scalability, and innovation coexist. The role demands talent characterized by strong strategic thinking, disciplined execution, and continuous learning agility, enabling rapid adaptation to evolving technologies, regulatory expectations, and business priorities while consistently delivering high-impact, enterprise-grade software solutions that support mission-critical healthcare operations and long-term digital transformation objectives.

Responsibilities:
  • Platform Engineering: Full Stack: Design, develop, and optimize end-to-end applications using C#, Python, TypeScript, React.js, Next.js, Java, Spring Boot, Node.js, and GraphQL. Integrate modern frontends, APIs, and microservices-based backend services while leveraging AI-assisted coding and testing tools to accelerate delivery, improve code quality, and ensure scalable, secure, and maintainable system architecture aligned with enterprise standards.
  • API Development: Build and enhance RESTful APIs that enable seamless data exchange across systems. Apply AI-driven monitoring and performance tuning to improve latency, reliability, and scalability while ensuring compliance with security and regulatory standards within a highly controlled healthcare technology environment.
  • Cloud Architecture: Engineer cloud-native solutions across AWS and Azure using Infrastructure as Code. Leverage AI-powered optimization tools to enhance resource utilization, system resilience, and cost efficiency while maintaining high availability and compliance in a rapidly scaling, regulated ecosystem.
  • DevOps and Automation: Pipeline Automation: Develop and manage CI/CD pipelines using Azure DevOps. Integrate AI-driven automation to streamline build, test, and deployment processes, reduce cycle times, and ensure consistent, reliable software delivery across environments with strong governance and traceability.
  • Infrastructure Management: Implement Terraform-based infrastructure automation, utilizing AI insights for predictive scaling, anomaly detection, and performance optimization to ensure stable, efficient, and compliant infrastructure that supports continuous delivery and evolving business demands.
  • Release Engineering: Drive release quality through automated testing, monitoring, and rollback strategies enhanced by AI, ensuring minimal downtime, rapid issue resolution, and consistent deployment outcomes aligned with enterprise reliability and regulatory expectations.
  • Cross-Functional Collaboration: Partner with product, data, and engineering teams to design integrated solutions. Use AI-enabled collaboration tools to enhance decision-making, accelerate problem-solving, and ensure alignment between
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