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Big Data Analytics Jobs in Texas (NOW HIRING)

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Collaborate with data analysts, data scientists, and business stakeholders to translate data ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

Sonsoft Inc

Big Data

Plano, TX · On-site

$50.75 - $65.75/hr

Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and ...

techgenomics

Big Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Hands on IT Architect with Big Data Analytics and Cloud based software development in Oil and Gas/Energy/Utilities Industries. * Candidate must have 9+ hands on experience in developing solutions ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX · On-site

Hands on experience using SQL or SAS and other query tools on large databases Experience with Big Data Experience making presentations Manage analytics projects Preferably local to DFW Good contract ...

techgenomics

Big Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Hands on IT Architect with Big Data Analytics and Cloud based software development in Oil and Gas/Energy/Utilities Industries. * Candidate must have 9+ hands on experience in developing solutions ...

Cymertek Corporation

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

... business intelligence and analytics needs, while optimizing data storage solutions ... big data tools • Strong understanding of distributed systems • Expertise in data storage ...

TriOptus LLC

Big Data Engineer

Houston, TX · On-site

$53.25 - $70.50/hr

Software Engineer (Big Data) Duration: 3-6 Months CTH Location: Houston/Plano , TX This is a W2 ... business analysis, development, testing, deployment, maintenance and improvement of software.

Wise Skulls Corp.

Fulltime Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Collaborate with data analysts, data scientists, and business stakeholders to translate data ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) deep, hands-on experience in on-premises ...

Cymertek

Cloud Big Data Software Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Cloud Big Data Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please ... Familiarity with real-time analytics platforms * Knowledge of Infrastructure as Code (IaC) tools ...

Cymertek

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Big Data Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

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How much do big data analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for big data analytics in Texas is $55.19, according to ZipRecruiter salary data. Most workers in this role earn between $54.66 and $55.77 per hour, depending on experience, location, and employer.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

What is a big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data analysis, programming, and tools like Hadoop and Spark. It offers competitive salaries, opportunities for advancement, and requires continuous learning to keep up with evolving technologies.

What are the most commonly searched types of Big Data Analytics jobs in Texas?

The most popular types of Big Data Analytics jobs in Texas are:

What are popular job titles related to Big Data Analytics jobs in Texas?

For Big Data Analytics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Big Data Analytics jobs in Texas look for?

The top searched job categories for Big Data Analytics jobs in Texas are:

What cities in Texas are hiring for Big Data Analytics jobs?

Cities in Texas with the most Big Data Analytics job openings:

Big Data Analytics jobs near you
Infographic showing various Big Data Analytics 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 $114,789 per year, or $55.2 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Plano, TX • On-site

Full-time

Re-posted 14 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