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

Base Power Company

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the backend data infrastructure that powers how we understand and run our business. This is a backend ...

The University of Texas at Austin

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

Builds infrastructure for optimal extraction, transformation, and loading of data from diverse sources. * Creates and maintains data lakes, warehouses, and marts using platforms like Snowflake ...

Apple

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 ...

Apple

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 ...

Apple

Data Engineer

Austin, TX

$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 ...

Apple

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 ...

Amazon

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 ...

Apple, Inc.

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 ...

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 support AI and machine learning initiatives. Responsibilities : • Design ...

Intel

AI Infrastructure Engineer

Austin, TX

$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.

Allen Control Systems

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.

Allen Control Systems

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 ...

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Showing results 21-40

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.

AI Infrastructure Engineer - Platform & Infrastructure FDE (Only W2)

Trispark Inc

Austin, TX • On-site

$106K - $139K/yr

Other

Posted 6 days ago

Job description

AI Infrastructure Engineer - Platform & Infrastructure FDE (Onsite)

Location : Austin, TX or Fort mill, SC

Duration: Fulltime 

Job Description:

 

Candidates must demonstrate strong hands-on expertise in Python, live coding, scripting, and practical AI agent development, beyond just discussing experience.

 

About the Role:

 

Wipro is building a Forward Deployed AI Engineering team to support an AI-first infrastructure organization. The goal is to embed AI engineers directly across infrastructure teams, build a centralized AI engineering pool that can rapidly solve business problems, and automate manual infrastructure processes wherever possible.

Early AI initiatives on the account have already delivered a 60% reduction in migration effort, a 50% reduction in modernization effort, and an automated vulnerability discovery and remediation pipeline. These engineers are expected to act as transformation catalysts — not traditional developers — using AI as the first approach to solving problems and inspiring the existing engineering teams around them.

Target infrastructure domains

•     Cloud

•     Network

•     Compute

•     Storage

•     Database Platforms

•     Infrastructure Security

•     Automation

Purpose

Work directly with infrastructure teams to identify opportunities, build AI-powered solutions, automate manual processes, and accelerate engineering productivity.

Key Responsibilities

•     Embed within infrastructure teams and work closely with business and infrastructure leaders.

•     Identify automation opportunities independently, without waiting for instructions.

•     Build AI-assisted solutions using Cursor and GitHub Copilot.

•     Develop infrastructure automation and build AI workflows and AI agents.

•     Modernize infrastructure platforms and improve cloud migration efficiency.

•     Build vulnerability remediation automation.

•     Demonstrate proof-of-concepts rapidly and deliver measurable productivity improvements.

•     Mentor existing engineering teams and promote AI adoption across the organization.

Required Skills & Experience

•     Programming & scripting: Hands on strong Python development, scripting, and APIs.

•     Infrastructure & cloud: infrastructure engineering, cloud platforms (AWS preferred), Infrastructure as Code (IaC), DevOps, and automation.

•     AI-assisted engineering: GitHub Copilot, Cursor AI, prompt engineering, LLM-based software development, and AI-assisted coding.

•     Ways of working: strong problem solving, a self-starter mindset, and excellent communication.

Preferred Skills

•     Agentic AI workflows and AI orchestration

•     Infrastructure modernization and platform engineering

•     Security automation and vulnerability management

•     FinOps and observability

•     Cloud migration

Platform & Infrastructure FDE

Depth in the platforms, pipelines, and guardrails that AI-driven infrastructure runs on.

•     Infrastructure as Code — Terraform, Pulumi, AWS CDK, VMware, OpenShift

•     Configuration-as-Code — Ansible, Puppet

•     CI/CD — GitHub Actions, ArgoCD

•     Kubernetes — EKS / GKE / AKS, Helm, service mesh

•     Observability — OpenTelemetry, Dynatrace, Grafana, LLM metrics

•     Cloud security — VPC, PrivateLink, encryption, data residency

•     Compliance — SOC 2, HIPAA, FedRAMP for LLM

•     Agentic frameworks — LangGraph, CrewAI, N8N

•     LLMOps — model routing (LiteLLM), semantic caching, prompt versioning, A/B testing

•     Cost / FinOps for LLM

Desired Behavioural Traits

•     AI-native mindset — uses AI as the first approach to solving problems

•     Highly proactive; identifies opportunities and builds automation without being asked

•     Curious, innovative, and an independent thinker

•     Strong collaborator, comfortable working with ambiguity

•     Outcome-focused; delivers measurable productivity gains rather than incremental ones

•     Able to influence and mentor others, acting as a transformation catalyst

Apply