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

Judge Group, Inc.

Full Stack Software Engineer

Austin, TX · On-site

$70 - $75/hr

Our client is currently seeking a Full Stack Software Engineer Location : Austin, TX (Hybrid - 4 ... Familiarity with large-scale data analytics, logging, and monitoring tools (e.g., BigQuery, Splunk)

ShyftOff

Senior Full Stack Engineer

Austin, TX · On-site

To keep pace, we need a hands-on Full Stack Engineer who loves building scalable systems , shipping ... FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

They are seeking a Senior Full Stack Engineer to lead and build scalable systems, guide product ... models and internal data pipelines • Improve performance, reliability, and long-term ...

NAVA Software Solutions

Full Stack Developer

Austin, TX · On-site

Full Stack Developer Location: Austin TX - Hybrid Duration: 6-12 months * 10 years of hands-on experience developing Full stack apps using TypeScript, ReactJS, and NodeJS * Hands-on and conversant in ...

Trunk Tools, Inc.

Senior Full Stack Engineer

Austin, TX · On-site

$166K - $215K/yr

Our full-stack engineers work within cross-functional feature squads to create the capabilities our ... Our platform relies on complex integrations with third-party systems, extensive data processing ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

They are seeking a Senior Full Stack Engineer who will lead and build scalable systems, guide ... models and internal data pipelines • Improve performance, reliability, and long-term ...

Staffingine LLC

Full Stack Developer

Austin, TX · On-site

Job Title: Sr. Full stack Developer Job Location: Austin, Texas Job Type: Contract ... Architect and develop custom data visualization tools and applications * Design develop and lead ...

Computer Futures

Full Stack Developer

Austin, TX · On-site

They are seeking a Full Stack Developer with extensive experience in full stack development and proficiency in AngularJS and .NET framework. Responsibilities : • Extensive full stack development ...

proaiautomate

Software Engineer, Full Stack

Austin, TX · On-site

$80 - $120/hr

We're seeking a Full Stack Software Engineer to help build and maintain our web applications and services. Responsibilities * Develop and maintain front-end and back-end components * Work with ...

MLabs

Full Stack Engineer

Austin, TX · On-site

$180 - $225/hr

The engineering team is seeking a talented Full-Stack Engineer (TypeScript) to build beautiful ... Data Grid Experience: Experience working with complex data layouts; familiarity with AG Grid or ...

Neshent Technologies

Full Stack Developer

Austin, TX · On-site

We are seeking a Full Stack Developer to build, enhance, and maintain customer-facing web applications. The ideal candidate will have strong experience across both front-end and back-end development ...

Neshent Technologies

Full Stack Developer

Manchaca, TX · On-site

We are seeking a Full Stack Developer to build, enhance, and maintain customer-facing web applications. The ideal candidate will have strong experience across both front-end and back-end development ...

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Showing results 21-40

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

Full Stack Data Engineer information

See Austin, TX salary details

$44.1K

$133.6K

$188.8K

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

As of Sep 7, 2026, the average yearly pay for full stack data engineer in Austin, TX is $133,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $156,600.00 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 Austin, TX?

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

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

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

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

Cities near Austin, 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 Austin, 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 $133,586 per year, or $64.2 per hour.

Full Stack Software Engineer, AI & Data Platforms (AiDP)

Apple

Austin, TX • On-site

Full-time

Posted 27 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your work, and there's no telling what you could accomplish.
Description
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. As a Full Stack Software Engineer on the team, you'll build the internal web tools and services that turn complex data into products teams across Apple rely on.","responsibilities":"Develop and maintain a suite of internal web tools with a rich, data-dense experience built to UX requirements
Build full-stack features end to end - frontend interfaces backed by REST APIs and backend services - that fetch, process, and present large, complex data
Design and build backend services and REST APIs in Python to serve the data the frontend needs, reliably and at scale
Ship solutions directly into the workflows of the teams who use them, and iterate quickly on real feedback to drive adoption
Engage business, operations, and data engineering teams early to understand requirements, define solutions, and scope the work
Use AI-assisted development tools and agents to prototype, investigate issues, and ship more with a small team against a rapidly evolving product
Preferred Qualifications
Track record shipping data-intensive UIs with complex state, real-time updates, and large-scale data visualization
Strong design and UX craft, with the ability to translate ambiguous requirements into polished, intuitive interfaces
Experience with cloud platforms (AWS, GCP , or Azure) and container orchestration (Kubernetes)
Experience contributing to high-impact projects through cross-functional partnership with product, design, and infrastructure teams
Clear communicator who can navigate architectural trade-offs and work effectively across teams
Minimum Qualifications
3+ years of software engineering experience spanning frontend and backend systems
2+ years proficiency in TypeScript, React and modern CSS (e.g., Tailwind)
2+ years experience building production backend services in Python
2+ years experience designing and consuming REST, gRPC, or GraphQL APIs
1+ years experience building applications with modern AI tools and agents
1+ years working proficiency in SQL and experience working with large, complex datasets
Bachelor's degree in Computer Science, related field, or equivalent practical experience

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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