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Data Infrastructure Engineer Jobs in Texas (NOW HIRING)

Data Center Infrastructure Engineer

Fort Worth, TX · On-site

$40 - $47/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Join the Data Center team within the Cloud Engineering Platforms organization, where you will design, deploy, maintain, and optimize the physical and logical infrastructure within data centers. This ...

New

Cloud Infrastructure Engineer

Plano, TX

$102K - $134K/yr

... Infrastructure Engineer that will work with talented software engineering and support teams to ... Data Quality Monitoring. * You have experience working in an agile environment. * You have a good ...

Cloud Infrastructure Engineer

Dallas, TX

$106K - $139K/yr

... Infrastructure Engineer that will work with talented software engineering and support teams to ... Data Quality Monitoring. * You have experience working in an agile environment. * You have a good ...

IT Infrastructure Engineer

Seguin, TX · On-site

$104K/yr

  • Medical

  • Retirement

  • PTO

The Infrastructure Engineer is responsible for a variety of infrastructure systems and services supporting both of GVEC's data centers. The Infrastructure Engineer is required to provide problem ...

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 ...

Infrastructure engineer

Dallas, TX

$106K - $139K/yr

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ... Infrastructure engineer Dallas, TX 12 months - SUMMARY: Responsible for all aspects of Microsoft ...

Through an Employer of Record (EOR), we are looking for a new Cloud Infrastructure Engineer in ... Manage access control, IAM configs, and user permissions <li data-leveltext="" data-font="Symbol ...

Showing results 41-60

Data Infrastructure Engineer information

See Texas salary details

$43.3K

$118.4K

$169.6K

How much do data infrastructure engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data infrastructure engineer in Texas is $118,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $131,400.00 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 Texas? For Data Infrastructure Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Engineer jobs in Texas look for? The top searched job categories for Data Infrastructure Engineer jobs in Texas are:
What cities in Texas are hiring for Data Infrastructure Engineer jobs? Cities in Texas with the most Data Infrastructure Engineer job openings:
Infographic showing various Data Infrastructure Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,382 per year, or $56.9 per hour.

Senior Hybrid Infrastructure Engineer

Delan Associates, Inc.

Houston, TX • On-site

$103K - $140K/yr

Contractor

Posted 8 days ago


Job description

Position Overview
Client is seeking a Senior Hybrid Infrastructure Engineer to design, implement, operate, and modernize enterprise infrastructure across on-premises and Google Cloud Platform (GCP) environments. This role combines infrastructure engineering, cloud architecture, automation, cybersecurity, and operational excellence to deliver secure, scalable, and resilient technology platforms supporting critical business operations.
The successful candidate will be responsible for the engineering and lifecycle management of enterprise infrastructure while helping lead Client's cloud transformation initiatives. This includes migrating workloads from on-premises infrastructure to GCP using Infrastructure as Code (IaC), Terraform, GitHub, and CI/CD automation. The ideal candidate is a hands-on technical leader who thrives in both operational support and strategic modernization efforts.
Key Responsibilities
Hybrid Infrastructure Engineering
  • Design, implement, administer, and support highly available hybrid infrastructure across on-premises and Google Cloud Platform (GCP).
  • Engineer secure, scalable, and resilient infrastructure supporting enterprise business applications.
  • Administer Windows Server, Linux, VMware vSphere, Active Directory, DNS, DHCP, networking, and enterprise storage.
  • Manage enterprise storage platforms including VxRail, Vblock, Isilon/PowerScale, Data Domain, and Avamar.
  • Support Palo Alto and SonicWall firewalls and enterprise network infrastructure.

Cloud Engineering & Migration
  • Lead the migration of enterprise workloads from on-premises infrastructure to Google Cloud Platform.
  • Design cloud architectures supporting hybrid connectivity, security, resiliency, and operational support.
  • Develop migration strategies, dependency mapping, cutover plans, rollback procedures, and post-migration validation.
  • Optimize cloud infrastructure for availability, security, performance, and cost efficiency.
  • Collaborate with application, database, networking, and cybersecurity teams during migration initiatives.

Infrastructure as Code & Automation
  • Design and maintain Infrastructure as Code using Terraform.
  • Develop reusable Terraform modules and standardized deployment templates.
  • Manage infrastructure source code using GitHub.
  • Build and maintain GitHub Actions CI/CD pipelines for automated infrastructure deployments.
  • Implement GitOps practices and automate infrastructure provisioning, configuration management, patching, and operational tasks using PowerShell, Python, Bash, or similar scripting languages.

Architecture, Security & Operations
  • Participate in enterprise infrastructure architecture, modernization, and technology roadmap planning.
  • Design and maintain disaster recovery, backup, and business continuity solutions meeting established business recovery objectives.
  • Partner with Cybersecurity teams to improve infrastructure security posture, vulnerability remediation, and compliance.
  • Perform infrastructure lifecycle management including upgrades, hardware refreshes, firmware updates, and platform migrations.
  • Monitor infrastructure health, availability, capacity, and performance while implementing proactive improvements.
  • Produce and maintain architecture diagrams, operational documentation, standards, and technical procedures.
  • Lead infrastructure implementation projects while coordinating with vendors and cross-functional teams.
  • Participate in on-call support and major incident response.

Required Qualifications
  • Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent experience.
  • 7+ years of enterprise infrastructure engineering or senior systems administration experience.
  • Expert knowledge of Windows Server, Linux, VMware vSphere, Active Directory, enterprise networking, storage, and virtualization.
  • Experience designing and supporting hybrid infrastructure integrating on-premises environments with Google Cloud Platform.
  • Hands-on experience with GCP services including Compute Engine, VPC, IAM, Cloud Storage, Cloud SQL, Cloud Monitoring, Cloud Logging, and Load Balancing.
  • Strong experience implementing Infrastructure as Code (IaC) using Terraform.
  • Experience with GitHub source control and GitHub Actions CI/CD pipelines.
  • Experience automating infrastructure using PowerShell, Python, Bash, or similar scripting languages.
  • Strong understanding of enterprise networking including TCP/IP, VLANs, routing, switching, VPNs, DNS, DHCP, and firewall administration.
  • Experience with Palo Alto and SonicWall firewalls.
  • Experience supporting enterprise storage technologies including VxRail, Vblock, Isilon/PowerScale, Data Domain, Avamar and Rubrik.
  • Experience designing and supporting backup, disaster recovery, and business continuity solutions.
  • Experience with infrastructure lifecycle management, cloud migrations, cybersecurity best practices, vulnerability remediation, and operational monitoring.
  • Strong analytical, troubleshooting, communication, documentation, and project leadership skills.

Preferred Qualifications
Certifications
  • Google Professional Cloud Architect
  • Google Associate Cloud Engineer
  • HashiCorp Terraform Associate
  • VMware Certified Professional (VCP)
  • AWS Solutions Architect Associate or Microsoft Azure Administrator Associate
  • CompTIA Security+ or Cisco CCNA

Preferred Experience
  • Enterprise migrations from VMware-based environments to Google Cloud.
  • Google Cloud VMware Engine (GCVE), Google Kubernetes Engine (GKE), Cloud Build, and Artifact Registry.
  • GitOps methodologies and enterprise DevOps practices.
  • Docker and Kubernetes.
  • Monitoring platforms such as SolarWinds Orion, Datadog, Splunk, Dynatrace, or similar.
  • ITIL operational processes and change management.