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Data Infrastructure Engineer Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX

$144K - $263K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Data Engineer

Austin, TX · On-site

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference ... Strong software engineering fundamentals: algorithms, data structures, concurrency, and systems ...

Senior ML Infrastructure Engineer

Austin, TX

$107K - $146K/yr

About the team The ML Infrastructure team builds and operates the inference stack that serves ... Strong software engineering fundamentals: algorithms, data structures, concurrency, and systems ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

AI Infrastructure Engineer

Austin, TX · On-site

$170K - $315K/yr

We are looking for a performance-obsessed AI Infrastructure Engineer to push LLM inference to its ... GenAI workload data. Show passion about AI infrastructure and performance optimization.

Operations Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You'll join a team designing and building modern, scalable data infrastructure that powers ... engineering solutions that directly impact Operations decisions Design and implement end-to-end ...

Operations Data Engineer

Austin, TX

$113K - $136K/yr

You'll join a team designing and building modern, scalable data infrastructure that powers ... engineering solutions that directly impact Operations decisions Design and implement end-to-end ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine Learning principles to optimize datasets and build data pipelines for computer vision models.

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer with expertise in data infrastructure and AI & Machine Learning principles to design and implement data optimization strategies for model training and ...

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including ... To learn more, visit Position Overview We are seeking a Senior AI Storage Infrastructure Engineer ...

Power Infrastructure Engineer

Austin, TX · On-site

$205K - $251K/yr

... and most data-intensive applications in the world. SiFive's unrivaled compute platforms are ... Develop and deploy power measurement infrastructure * Develop power models for architecture ...

Showing results 41-60

Data Infrastructure Engineer information

See Austin, TX salary details

$46.4K

$126.8K

$181.6K

How much do data infrastructure engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data infrastructure engineer in Austin, TX is $126,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $140,700.00 per year, depending on experience, location, and employer.

What is a data infrastructure engineer?

A Data Infrastructure Engineer is a professional who designs, builds, and maintains the systems and architecture that store, process, and manage large volumes of data for organizations. They focus on creating scalable and reliable data pipelines, ensuring data is accessible and secure, and integrating data from various sources. Their work enables data scientists, analysts, and other stakeholders to efficiently use data for decision-making and analytics. Data Infrastructure Engineers often work with tools like Hadoop, Spark, and cloud platforms, and play a critical role in supporting modern data-driven businesses.

What are the key skills and qualifications needed to thrive as a data infrastructure engineer?

To thrive as a Data Infrastructure Engineer, you need a solid background in computer science, experience with database management, and expertise in building and optimizing data pipelines, often supported by a relevant degree. Familiarity with tools and platforms like Hadoop, Spark, SQL, cloud services (AWS, Azure, GCP), and containerization technologies such as Docker and Kubernetes is typically required, alongside certifications in cloud or database technologies. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex technical challenges. These skills and qualities are crucial for ensuring reliable, scalable, and efficient data systems that support business analytics and decision-making.

What are some typical challenges data infrastructure engineers face when scaling systems to handle increased data volume?

Data Infrastructure Engineers often encounter challenges such as ensuring data pipelines remain reliable and performant as data volume grows. This includes optimizing storage solutions, managing distributed systems, and automating data ingestion and transformation processes. Collaborating closely with data scientists and analysts is key to understanding evolving data requirements and proactively addressing potential bottlenecks. Staying updated with the latest tools and best practices helps engineers build scalable, fault-tolerant infrastructure that supports organizational growth.

What is the difference between Data Infrastructure Engineer vs Data Engineer?

AspectData Infrastructure EngineerData Engineer
Primary FocusBuilding and maintaining data infrastructure, pipelines, and storage systemsDesigning, developing, and optimizing data pipelines and models
Skills & CertificationsCloud platforms, data storage, ETL tools, scriptingSQL, Python, Spark, Hadoop, data modeling
Work EnvironmentData teams, infrastructure teams, cloud environmentsData teams, analytics teams, software engineering
Industry UsageTech, finance, healthcare, any data-driven industryTech, finance, retail, analytics-focused companies

While both roles involve working with data pipelines, Data Infrastructure Engineers focus on building and maintaining the underlying data systems and infrastructure, ensuring data availability and reliability. Data Engineers primarily develop and optimize data pipelines and models for analysis and machine learning. Both roles often collaborate but serve different aspects of data management.

What are popular job titles related to Data Infrastructure Engineer jobs in Austin, TX?

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

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

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

Infographic showing various Data Infrastructure Engineer job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $126,767 per year, or $60.9 per hour.
Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$144K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 15 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

Do you love crafting elegant solutions to highly complex challenges. Do you intrinsically see the importance in every detail. As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. At Apple, innovative concepts swiftly transform into groundbreaking products, services, and customer experiences. By cultivating passion and unwavering dedication, the potential for extraordinary accomplishments becomes limitless.
As a member of the Apple Silicon Technology group, you will collaborate in the design, creation, and enhancement of our data infrastructure, which underpins the productization of our semiconductors across iPhone, iPad, Mac, and numerous other devices. We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between software engineering and data engineering, constructing robust data pipelines, analytics platforms, and data-driven applications that empower our organization to derive valuable insights from extensive datasets.
Description
Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.","responsibilities":"Design and implement scalable data pipelines and processing systems
Parse and process text logs and STDF
Develop and optimize database performance and query efficiency
Implement data quality monitoring and validation frameworks
Collaborate with data scientists to productize machine learning models
Monitor system performance and troubleshoot data infrastructure issues
Preferred Qualifications
Three or more years of experience in software development, with a specific focus on data systems
Proficiency in Python programming language
Experience with Oracle SQL and database design principles
Experience with Linux operating systems
Proficiency in version control systems (Git)
Strong problem-solving and analytical abilities
Excellent communication and collaboration skills
Experience in semiconductor or high-tech research and development (R&D) and manufacturing environments
Master’s degree in computer science, data engineering, or a related field
5+ years of experience in data engineering or data-focused software development
Experience with Cassandra NoSQL database
Familiarity with machine learning workflows and machine learning operations (MLOps) practices
Experience with data visualization tools and business intelligence platforms
Minimum Qualifications
Bachelors Degree plus 3 years of relevant experience
(Degree in Computer Science, Software Engineering, or a related)
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $144,600 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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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