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Data Infrastructure Engineer Jobs in Texas (NOW HIRING)

JP Morgan Chase

Infrastructure Engineer III

Plano, TX

$100K - $131K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

JPMorgan Chase & Co

Infrastructure Engineer III

Plano, TX · On-site

$100K - $131K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

JPMorgan Chase & Co.

Infrastructure Engineer III

Plano, TX · On-site

$100K - $131K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

JPMorgan Chase & Co.

Infrastructure Engineer III

Plano, TX · On-site

$100K - $131K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

J.P. Morgan

Infrastructure Engineer III

Plano, TX

$102K - $134K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

JP Morgan Chase

Infrastructure Engineer III

Plano, TX · On-site

$100K - $131K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

JPMorgan Chase & Co

Infrastructure Engineer III

Plano, TX · On-site

$100K - $131K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

JP Morgan Chase

Lead Infrastructure Engineer

Plano, TX · On-site

$100K - $131K/yr

As a Lead Infrastructure Engineer at JPMorganChase within the Corporate Sector - Chief Technology ... data according to sensitivity and security requirements. * Lead a workstream spanning core ...

J.P. Morgan

Infrastructure Engineer III

Plano, TX · On-site

$102K - $134K/yr

As an Infrastructure Engineer III at JPMorganChase within the Corporate Sector - Infrastructure ... Collect and analyze monitoring/telemetry data in test and production environments; design and ...

JPMorgan Chase & Co

Lead Infrastructure Engineer

Plano, TX · On-site

$100K - $131K/yr

As a Lead Infrastructure Engineer at JPMorganChase within the Corporate Sector - Chief Technology ... data according to sensitivity and security requirements. * Lead a workstream spanning core ...

Celersoft

infrastructure engineer

Houston, TX · Remote

$65 - $70/hr

Strong data infrastructure and production-support experience Hands-on experience with file-transfer technologies (SFTP, MFT or similar) Experience supporting ETL/ELT pipelines and batch-processing ...

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All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Texas

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 Sep 5, 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:

Data Infrastructure Engineer jobs near you
Infographic showing various Data Infrastructure Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,382 per year, or $56.9 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Garland, TX • On-site

Full-time

Re-posted 7 days ago

Job description

Job Description


Big Data Infrastructure Administrator

Merrimack NH or Dallas TX 

 12 Months contract

 Great pay


 Phone and Skype Interview 

  Job Description :

This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Infrastructure DevOps / Support Administrator serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. This will involve building and supporting a general purpose data analytics platform utilized by Fidelity's data scientist community. The incumbent will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a data hub and a blueprint for integrating with existing upstream and downstream technology solutions.


This role is DevOps and support administration. The position requires a strong background in computer architecture, software development, data management systems, distributed computing, and a solid understanding of the open-source technology ecosystem. An ideal prospect will have technical expertise, customer engagement skills, excellent communication skills, and a passion for organizing and analyzing data.


Primary Responsibilities

The incumbent will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service. Key responsibilities include:

Development, support, and maintenance of the infrastructure platform and application lifecycle

Design, development and implementation of automation innovations

Development of automated testing scripts

Building and nurturing relationships with Fidelity's developer and system administration communities

Contribution to all phases of the application lifecycle - requirements, development, testing, implementation, and support.

Responding and providing guidance to customers of the Big Data platform

Defining and implementing integration points with existing technology systems

Interacting with and participating in open-source software communities

Researching and remaining current on big data technology and industry trends and innovations

Participating in a 24 x 7 hour on-call support rotation


Education and Experience

B.S. Computer Science or equivalent

Master's degree is a plus

5+ years application development or systems administration experience

5+ years of development experience in one or more of the following languages: Java, C++, Perl, Python

Experience deploying or managing open-source software

Strong experience with any Linux distribution


Experience with Kafka and Cloudera

2+ years Hadoop experience

Database administration experience a plus


Skills and Knowledge

Certification and experience working in Hadoop

Certification and working experience in a NoSQL database

Experience with Splunk/HUNK or Solr solutions and dashboards running on Big Data technologies such as Hadoop

Strong background in Linux/Unix Administration

Agile Scrum or Kanban experience

Global team experience

Experience with automation/configuration management using Chef, Puppet or an equivalent

Programming in CI/CD technologies is a plus

Knowledge designing scalable distributed systems

Awareness of both current and developing technologies

Strong desire to innovate and develop future technology

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply