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Full Stack Data Engineer Jobs in Denton, 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.

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Showing results 1-20

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

Full Stack Data Engineer information

See Denton, TX salary details

$41.7K

$126.4K

$178.6K

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

As of Jun 23, 2026, the average yearly pay for full stack data engineer in Denton, TX is $126,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $148,100.00 per year, depending on experience, location, and employer.

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 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.

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.
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Full Stack Data Engineer jobs near you
Full Stack Java / Data Engineer / Python Developer/ Devops

Full Stack Java / Data Engineer / Python Developer/ Devops

Apex Informatics

Plano, TX • Hybrid

Contractor

Posted 20 days ago

Job description

Need Help with below position:
Position/REQ ID: Full Stack Java / Data Engineer / Devops
Type (Contract, C2H): 12+ Month Contract
Location: Hybrid in Richmond / Mclean , VA - Plano TX - Chicago, IL
• Need Ex Capital one Candidates for Full Stack Java / Data Engineer / Python Developer

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