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

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer who will design and implement data infrastructure and optimization strategies to enhance model training for computer vision projects. Responsibilities : • ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Platform Engineer to design and implement data infrastructure and optimization strategies for model training, ensuring high-quality datasets for their AI applications.

The University of Texas at Austin

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

Data Engineer I ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Build infrastructure supporting extraction, transformation, and loading of data from diverse health ...

Cloudflare

Principal Software Engineer, Data

Austin, TX

$133K - $179K/yr

... software engineer to help take Town Lake from a fast-growing internal platform into the ... Lead the design and development of tools and infrastructure to improve and scale our data ...

Wise Skulls

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Platform Engineer Location: Austin, TX or Sunnyvale, CA (Hybrid) Duration: 6 months ... The role is responsible for developing scalable data infrastructure and processing pipelines built ...

Oracle

Senior Core Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

Delivers features and load/performance tests; leverages data plane platforms and distributed state ... An engineer on this team is responsible for the development of features making the platform more ...

Oracle

Senior Core Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

Delivers features and load/performance tests; leverages data plane platforms and distributed state ... An engineer on this team is responsible for the development of features making the platform more ...

Oracle

Senior Core Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

Delivers features and load/performance tests; leverages data plane platforms and distributed state ... An engineer on this team is responsible for the development of features making the platform more ...

Wsgr

Principal Cloud Infrastructure Engineer

Austin, TX · On-site +1

$147K - $198K/yr

Ensure that solutions that are built follow vendor best practices for performance, cost, data ... * Functional understanding of Azure DevOps & CI/CD. * Experience with Power Platform, Azure DevOps, ...

The University of Texas at Austin

Data Engineer II

Austin, TX · On-site

$113K - $136K/yr

Data Engineer II ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Develops and enhances the underlying data infrastructure using SQL and cloud technologies to ensure ...

SiFive

Power Infrastructure Engineer

Austin, TX

$205K - $251K/yr

... and most data-intensive applications in the world. SiFive's unrivaled compute platforms are ... Competency in software engineering best practices needed to maintain and refactor very large object ...

Allen Control Systems

Platform Engineer, Data

Austin, TX

$113K - $136K/yr

We are seeking a Data Platform Engineer who combines expert-level data infrastructure skills with a strong knowledge of AI & Machine Learning principles . In this role, you will go beyond simple data ...

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Showing results 41-60

All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Austin, TX

Data Infrastructure Engineer information

See Austin, TX salary details

$46.1K

$125.9K

$180.4K

How much do data infrastructure engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data infrastructure engineer in Austin, TX is $125,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $139,800.00 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:

Data Infrastructure Engineer jobs near you
Infographic showing various Data Infrastructure Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,949 per year, or $60.6 per hour.

Platform Engineer, Data

Allen Control Systems

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing advanced technologies for military applications. They are seeking a Data Platform Engineer who will design and implement data infrastructure and optimization strategies to enhance model training for computer vision projects.
Responsibilities:
• Design and develop a scalable data infastructure, focusing on organization and curation to support continuing increases in data volume and complexity
• Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering).
• Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets
• Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models.
• Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization.
• Coordinate collection of real-world data; coordinate label creation and QA with labelers.
• Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation.
• Implement and own dataset versioning, release management, and lineage and metadata cataloging.
Qualifications:
Required:
• 3+ years of experience in data engineering or equivalent fields.
• Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment.
• Proficient in using AWS for data management and processing.
• Proficient in Python for scripting and data processing; proficient with SQL and Linux.
• Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field.
• Proven ability to communicate well across engineering teams, and write and maintain effective documentation.
Preferred:
• 5+ years of industry experience.
• Experience in image/video data engineering for computer vision projects.
• Experience with PyTorch DeepCore.
• Experience with Unreal Engine.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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