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

Olix Computing

Infrastructure Engineer

Austin, TX · On-site

£88K/yr

Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance. The Role We're hiring a senior infrastructure engineer to own the ...

Hired Recruiters

Senior Infrastructure Engineer

Austin, TX · On-site +1

$100K - $150K/yr

We empower consumers to gain value and convenience from their own data, and we enable businesses to ... As the first Infrastructure Engineer at an early-stage startup, the work that you do will have a ...

Ci

Senior Infrastructure Engineer

Austin, TX · On-site

$107K - $146K/yr

Partner with engineering teams to deploy and operate cloud-native services. Infrastructure ... Monitor infrastructure recovery readiness and data protection controls. * Assist in ensuring ...

Fluidstack

Security Engineer, Infrastructure

Austin, TX · On-site

$141K/yr

Fluidstack is focused on building civilization-scale infrastructure for AI. They are seeking a ... SIEM and data-warehouse architecture, data ingestion and enrichment, and security tool engineering ...

Deloitte

Azure/Databricks Infrastructure Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$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 ...

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 ...

ARM

Server Lab Infrastructure Engineer

Austin, TX · On-site

$161K - $218K/yr

Oversee backup, recovery, and scheduled maintenance procedures for lab systems and data stores ... Opportunity to shape lab infrastructure used across multiple engineering disciplines. * Competitive ...

ARM

Server Lab Infrastructure Engineer

Austin, TX · On-site

$161K - $218K/yr

Oversee backup, recovery, and scheduled maintenance procedures for lab systems and data stores ... Opportunity to shape lab infrastructure used across multiple engineering disciplines. * Competitive ...

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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 8, 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.

Infrastructure Engineer

Olix Computing

Austin, TX • On-site

£88K/yr

Full-time

Retirement

Re-posted 5 days ago

Job description

About OLIX
AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance.
The Role
We're hiring a senior infrastructure engineer to own the internal platform our engineering teams build, test, and collaborate on, spanning compute, storage, networking, build and CI/CD systems, and the security that protects all of it, while partnering with our IT function on identity, devices, and access across the company. You'll turn slow, manual, loosely secured workflows into fast, reproducible, and genuinely secure ones. This is a hands-on, high-ownership role with the freedom to define how internal infrastructure, security, and the technical side of IT work here from the ground up. If you care about engineering velocity, solid networking, best-in-class security, and a well-run technical environment in equal measure, there's a lot to dig into.
Responsibilities
  • Build and operate the platform: design, provision, and run the Kubernetes and bare-metal infrastructure that powers development, simulation, and testing workloads.
  • Automate everything: own infrastructure-as-code (Terraform) and provisioning pipelines so environments are reproducible, version-controlled, and fast to stand up or tear down.
  • Improve the developer platform: build and maintain CI/CD, internal tooling, and self-service workflows that let hardware, software, and compiler engineers ship without waiting on you.
  • Tune for performance: optimise networking (VLANs, firewalls, VPNs, and low-latency/high-bandwidth fabrics) and storage for the throughput and latency that ML and hardware workloads require.
  • Own reliability and observability: implement monitoring, alerting, and capacity planning, and drive availability and performance across hybrid cloud and on-prem environments.
  • Own platform security: implement identity and access management, secrets management, data protection, and threat detection across self-hosted and cloud infrastructure.
  • Drive continuous improvement: proactively find and fix the bottlenecks, manual steps, and reliability gaps that slow the wider engineering team down.

Skills & Experience
  • 5+ years in infrastructure, platform, or DevOps/SRE engineering, with a track record of owning systems end to end.
  • Strong infrastructure-as-code and automation skills: Terraform, Ansible, and scripting in Python and Bash.
  • Solid networking fundamentals.
  • Experience operating across hybrid cloud and on-prem/bare-metal environments.
  • Strong grasp of infrastructure security: IAM, secrets management, network security, and hardening across cloud and self-hosted systems.
  • Excellent problem-solving skills, with the ability to diagnose and resolve complex, cross-layer issues in a fast-moving environment.
  • A collaborative communicator who can work with hardware and ML engineers and explain infrastructure trade-offs clearly.
  • Bachelor's degree in computer science, a related field, or equivalent practical experience.
Compensation & Equity
  • Competitive Salary: Commensurate with your experience, skills, and location
  • Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it
  • Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living-Local Bonus if your residence is within 20 minutes of the office
  • Retirement Benefits:Employer-contributed retirement plans to help you build long-term financial security.

Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.

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