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Big Data Developer Jobs in Texas (NOW HIRING)

PLANIT Group

Software Engineer (Big Data)

Fort Worth, TX · On-site

$53.50 - $70.50/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 ...

Sonsoft Inc

Big Data

Plano, TX · On-site

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

LTIMindtree

Sr Big Data PySpark- Full time

Irving, TX

$53.50 - $70.75/hr

Seeking a Senior Big Data Engineer with 5 to 10 years of experience proficient in Apache Spark and Python to design and implement scalable data processing solutions within the Python Data domain

Sonsoft Inc

Big Data Consultant

Austin, TX

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Apex Informatics

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Looking for true software engineering skill set. Experience working with large data sets, ETL, or applications that do high-volume data collection. Spark or other large scale data processing AWS ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Sonsoft Inc

Big Data ( USC & GC )

Westlake, TX · On-site

$51 - $66/hr

Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing ... Hand on experience in programming languages like Java, Python, Perl. Qualifications * Bachelor ...

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Big Data Developer information

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How much do big data developer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for big data developer in Texas is $54.96, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $61.59 per hour, depending on experience, location, and employer.

Is big data a good career?

Big Data Developers are in high demand due to the growth of data-driven decision making across industries. The role typically requires skills in programming, data management, and tools like Hadoop or Spark, and offers competitive salaries and opportunities for advancement. It is considered a promising career path for those interested in technology and data analysis.

What Is a Big Data Developer?

A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.

What is a Big Data Developer?

A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.

What are some common challenges Big Data Developers face when integrating new data sources into existing pipelines?

A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.

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

To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.

What is big data salary?

The salary for a Big Data Developer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill set. Professionals with expertise in tools like Hadoop, Spark, and data modeling tend to earn higher salaries, especially in competitive markets.

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

AspectBig Data DeveloperData Engineer
Primary FocusDesigning and developing big data applications and solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsHadoop, Spark, Java, Scala, SQLETL, cloud platforms, scripting, database management
Work EnvironmentData teams, software development projectsData infrastructure, cloud environments, data warehouses
Industry UsageTech, finance, healthcare, retailTech, finance, telecom, e-commerce

While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.

What do big data developers do?

Big data developers design, build, and maintain systems for processing large volumes of data using tools like Hadoop, Spark, and SQL. They develop data pipelines, optimize data storage, and ensure data quality to support analytics and business decision-making.

Which is the hardest field in it?

For a Big Data Developer, the most challenging aspects often involve managing complex data architectures, optimizing performance for large-scale data processing, and ensuring data security and compliance. Staying updated with evolving tools like Hadoop, Spark, and cloud platforms also requires continuous learning and adaptation.
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Big Data Developer jobs near you

Big Data Infrastructure Administrator

Right Talent Right Now

Dallas, TX

Full-time

Posted 16 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