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Data Platform Engineer Jobs in Texas (NOW HIRING)

Platform Engineer - Cloud Infrastructure Duration: Full Time Location: Dallas, TX - Hybrid Onsite 4 ... Support data platform services including clusters, compute resources, and data governance tooling ...

Platform Engineer

San Antonio, TX · Hybrid

$164K - $213K/yr

Platform Engineer (8019)San Antonio, TX We are looking for a Cloud Platform Engineer with ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Platform Engineer

San Antonio, TX · Hybrid

$132K - $172K/yr

Platform Engineer (6835)San Antonio, TXDescription We are looking for a Cloud Platform Engineer ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Client is seeking a Platform Engineer with deep expertise in Databricks administration, data governance, and platform‑level engineering standards. This role enables multiple analytics and AI teams ...

Lead Data Platform Engineer, Snowflake

Plano, TX · On-site

$98K - $129K/yr

Who we're looking for We are seeking a highly skilled Lead Data Platform Engineer, Snowflake to design, maintain, secure, and optimize our Snowflake data platform and analytical ecosystem that ...

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 : • ...

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.

Houston Required Skills & Experience 5+ years in data engineering or platform engineering, with at least 2 3 years in Databricks administration. Expert knowledge of Unity Catalog, cluster policies ...

Platform Engineer, Data

Austin, TX · On-site

$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 ...

Platform Engineer, Data

Austin, TX · On-site

$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 ...

Platform, DevOps & Data Manager

Austin, TX · Hybrid

$52.25 - $71.50/hr

The Platform, DevOps & Data Manager will manage people, capacity, hiring, performance feedback, delivery discipline, standards, escalation, and team structure for DevOps / Platform and DBA / Data ...

Platform, DevOps & Data Manager

Austin, TX · Hybrid

$52.25 - $71.50/hr

The Platform, DevOps & Data Manager will manage people, capacity, hiring, performance feedback, delivery discipline, standards, escalation, and team structure for DevOps / Platform and DBA / Data ...

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 ...

Platform Engineer, Data

Austin, TX · On-site

$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 1-20

Data Platform Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data platform engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data platform engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Platform Engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a Data Platform Engineer job?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a Data Platform Engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Texas? The most popular types of Data Platform Engineer jobs in Texas are:
What are popular job titles related to Data Platform Engineer jobs in Texas? For Data Platform Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Data Platform Engineer jobs? Cities in Texas with the most Data Platform Engineer job openings:
Infographic showing various Data Platform Engineer job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 6% Part Time, 6% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Platform Engineer

Platform Engineer

INSPYR Solutions

Dallas, TX • On-site

Full-time

Posted 16 days ago


Job description

Title: Platform Engineer - Cloud Infrastructure
Duration: Full Time
Location: Dallas, TX - Hybrid Onsite 4 days/week
Compensation: $75,000 - $140,000
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Overview
This role supports the build, optimization, and ongoing operation of enterprise data and AI platforms within a large-scale, highly regulated environment. You'll work alongside senior engineers and cross-functional teams to deliver infrastructure, automation, and platform enhancements that enable data-driven decision making and AI innovation.
This is a hands-on role focused on cloud infrastructure, DevOps practices, and platform reliability across modern data and AI ecosystems.
Key Responsibilities
• Collaborate with platform leads and senior engineers:
  • Support delivery of platform initiatives and enhancements
  • Provide regular updates and contribute to team objectives
  • Partner with teams across security, networking, cloud operations, and application development

• Support cloud platform engineering and deployment:
  • Assist in building and maintaining cloud infrastructure across Azure and related services
  • Configure networking and security components (virtual networks, access controls, routing, private connectivity)
  • Support data platform services including clusters, compute resources, and data governance tooling

• Develop and maintain infrastructure-as-code:
  • Build reusable Terraform modules for cloud and data platform resources
  • Standardize configurations and support automation initiatives
  • Participate in code reviews and CI/CD validation processes

• Contribute to platform automation and process improvements:
  • Develop scripts and tools to improve operational efficiency
  • Help create documentation, SOPs, and onboarding materials
  • Support continuous improvement of deployment and configuration standards

• Monitor platform performance and troubleshoot issues:
  • Analyze logs, metrics, and system behavior to identify issues
  • Support stability and performance optimization efforts
  • Assist with maintaining observability using monitoring tools

• Support platform reliability and incident response:
  • Participate in troubleshooting and remediation activities
  • Assist with incident response under guidance from senior engineers
  • Contribute to maintaining service-level objectives (SLOs)

• Build and maintain monitoring and alerting:
  • Develop dashboards and alert rules for infrastructure and data workloads
  • Support log ingestion and monitoring automation

• Support CI/CD and release management:
  • Maintain pipelines using GitHub Actions or Azure DevOps
  • Assist with infrastructure deployment workflows (Terraform plan/apply)
  • Support build and deployment of data platform assets

• Provide operational and production support:
  • Assist with patching, remediation, and platform hardening
  • Support user tickets and platform issues
  • Participate in after-hours or on-call rotations as needed

Required Qualifications
• 5+ years of overall IT experience in enterprise environments
• 3-5 years of hands-on cloud engineering experience (Azure preferred)
• Strong experience with:
  • Cloud infrastructure and networking concepts
  • Identity and access management (IAM/RBAC)
  • Core cloud services (storage, security, data services)

• Experience with data platforms:
  • Hands-on exposure to tools like Databricks (clusters, jobs, basic data governance concepts)

• Infrastructure-as-code expertise:
  • Terraform and Git-based development workflows

• CI/CD experience:
  • Azure DevOps and/or GitHub Actions

• Scripting skills:
  • Python, Bash, or PowerShell

• Containerization knowledge:
  • Docker and basic Kubernetes concepts

• Monitoring and observability:
  • Familiarity with cloud monitoring and logging tools

• Strong troubleshooting and problem-solving skills
• Ability to collaborate across teams and communicate effectively
Nice to Have
• Experience working in regulated or enterprise-scale environments
• Exposure to data engineering or AI/ML platforms
• Experience building reusable infrastructure modules
• Familiarity with security and compliance best practices
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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