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Big Data Software Engineer Jobs in Texas (NOW HIRING)

SmartIPlace

Big Data Engineer[Hybrid]

Dallas, TX · On-site

$55.25 - $73/hr

Skills Needed: Big Data, Spark SQL, Scala code, GCP Local to FL/TX/GA Position: Big Data Engineer Location: Temple Terrace, FL / Irving, Dallas TX / Alpharetta, GA (Hybrid - 3 Days in a Week Onsite ...

Avani Technology Solutions, Inc.

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

... Big Data Pig Hive Spark & Scala. - The resource should have experience in SQL/DB2. - Excellent interpersonal verbal and written communication skills are required to interact with clients and Business ...

Cymertek Corporation

Big Data Architect

San Antonio, TX · On-site

$57.50 - $74/hr

Cymertek Corporation is looking for a skilled and innovative Big Data Architect to join their team ... Software Engineering, Mathematics, Electrical Engineering, Statistics, Business Analytics ...

TAD PGS, Inc

Software Engineer

Fort Worth, TX

$25 - $100/hr

We are seeking a motivated and experienced Software engineer to design, develop, and deliver automated system capabilities and big-data processing architectures. This position is hands-on. The ...

TAD PGS, Inc.

Software Engineer

Fort Worth, TX

We are seeking a motivated and experienced Software engineer to design, develop, and deliver automated system capabilities and big-data processing architectures. This position is hands-on. The ...

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

ALLIANCE is building a Data and Development Department to leverage Big Data and predictive ... Leveraging modern data platforms, engineering practices, and software development techniques, the ...

TriOptus LLC

Sr Big Data Engineer

Plano, TX · On-site

$52 - $69/hr

Job Title: Sr Big Data Engineer Job Location: Plano, Texas Job Type: Contract - Must-Have Skills: Python PySpark Spark AWS ETL Docker Good to Have Skills: Lead Experience Data Modeling CI/CD ...

Sonsoft Inc

Big Data Consultant

Austin, TX

Background in all aspects of software engineering with strong skills in parallel data processing ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

Background in all aspects of software engineering with strong skills in parallel data processing ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

Background in all aspects of software engineering with strong skills in parallel data processing ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Cymertek

Big Data Architect

San Antonio, TX · On-site

$58 - $74.50/hr

Big Data Architect LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Mathematics, Electrical Engineering, Statistics, Business Analytics ...

Amazon

Big Data Engineer II

Dallas, TX · Remote

$55.25 - $73/hr

... big data engineering with AI/ML to revolutionize how AWS processes and reports revenue at global scale Key job responsibilities Evolve the Revenue technology stack to support AWS's rapid expansion ...

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Big Data Software Engineer information

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How much do big data software engineer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for big data software engineer in Texas is $58.68, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.06 per hour, depending on experience, location, and employer.

What is a Big Data Software Engineer?

A Big Data Software Engineer is a technology professional who designs, develops, and maintains systems and applications that process large and complex data sets. They work with big data technologies like Hadoop, Spark, and NoSQL databases to enable efficient data storage, processing, and analysis. These engineers collaborate with data scientists, analysts, and other stakeholders to build scalable solutions that extract valuable insights from massive amounts of data. Their work is essential in industries such as finance, healthcare, e-commerce, and more, where data-driven decision-making is critical.

What Does a Big Data Software Engineer Do?

As a big data software engineer, your primary responsibilities are to collect, store, process, and analyze large amounts of data. You then build what the software architects design. Your duties are to develop software and choose solutions to maintain, implement, and continue monitoring the data. You also need to integrate your code with the current company architecture. You may handle high scale distributed systems, build and interact with algorithms, and work in cloud computing environments.

What are the key skills and qualifications needed to thrive as a Big Data Software Engineer, and why are they important?

To thrive as a Big Data Software Engineer, you need strong programming skills (often in Java, Scala, or Python), a solid understanding of distributed systems, and a degree in computer science or related field. Experience with big data tools like Hadoop, Spark, Kafka, as well as familiarity with cloud platforms and data pipeline frameworks, is typically required. Problem-solving, analytical thinking, and effective teamwork are essential soft skills for handling complex data challenges and collaborating across teams. These skills and qualifications are crucial for designing efficient, scalable data solutions that drive business insights and innovation.

What is the difference between Big Data Software Engineer vs Data Engineer?

AspectBig Data Software EngineerData Engineer
Primary FocusDeveloping and optimizing big data processing applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming (Java, Scala), Hadoop, Spark, SQLETL tools, SQL, cloud platforms, scripting
Work EnvironmentData processing teams, software development projectsData infrastructure teams, cloud environments
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, retail

While both roles work with big data technologies, Big Data Software Engineers focus on creating scalable data processing applications, whereas Data Engineers build and maintain the data pipelines and infrastructure that support these applications. Both roles often collaborate but have distinct technical responsibilities.

What are the most common challenges Big Data Software Engineers face when working with large-scale data systems?

Big Data Software Engineers often encounter challenges such as ensuring data quality, optimizing the performance of data pipelines, and managing the complexity of distributed systems. Handling massive volumes of data requires careful attention to system scalability and fault tolerance. Additionally, integrating new technologies and collaborating with data scientists, analysts, and DevOps teams to deploy and maintain reliable data solutions are key aspects of the role. Staying updated on evolving big data frameworks and best practices is crucial for continued success.
More about Big Data Software Engineer jobs
What are the most commonly searched types of Big Data Software Engineer jobs in Texas? The most popular types of Big Data Software Engineer jobs in Texas are:
What are popular job titles related to Big Data Software Engineer jobs in Texas? For Big Data Software Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Big Data Software Engineer jobs in Texas look for? The top searched job categories for Big Data Software Engineer jobs in Texas are:
What are popular job titles related to Big Data Software Engineer jobs in TX? For Big Data Software Engineer jobs in TX, the most frequently searched job titles are:
Big Data Software Engineer jobs near you
Infographic showing various Big Data Software Engineer job openings in Texas as of July 2026, with employment types broken down into 2% As Needed, 71% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,047 per year, or $58.7 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Plano, TX

Full-time

Re-posted 18 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.

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