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Big Data Developer Jobs in Texas (NOW HIRING)

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

Big Data Architect

San Antonio, TX · On-site

$58 - $74.50/hr

SIMILAR CAREER TITLES Data Architect, Solutions Architect, Cloud Data Architect, Data Engineer, Big Data Engineer, Data Systems Architect, Hadoop Architect, Cloud Solutions Architect, Enterprise ...

Cymertek Corporation

Big Data Architect

San Antonio, TX · On-site

$58 - $74.50/hr

SIMILAR CAREER TITLES Data Architect, Solutions Architect, Cloud Data Architect, Data Engineer, Big Data Engineer, Data Systems Architect, Hadoop Architect, Cloud Solutions Architect, Enterprise ...

Keylent Inc

Big Data Hadoop Tester

Dallas, TX · On-site

$55.25 - $73/hr

Responsibilities : • Work with big data analytics engineers to develop automated testing systems. • Develop testing software that will generate and validate test data for big data systems. • ...

Keylent Inc

Big Data Hadoop Tester

Dallas, TX · On-site

$55.25 - $73/hr

Responsibilities : • Work with big data analytics engineers to develop automated testing systems. • Develop testing software that will generate and validate test data for big data systems. • ...

Sonsoft Inc

Big Data

Plano, 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 ...

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How much do big data developer jobs pay per hour?

As of Sep 14, 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.

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 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 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 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.

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Big Data Developer jobs near you
Infographic showing various Big Data Developer 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 $114,319 per year, or $55 per hour.

Big Data Engineer

Austin, TX • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees
Learn more about Avani Technology Solutions, Inc.external

$55.25 - $73/hr

Contractor

Re-posted 25 days ago

Job description

Description/Comment:
- Java - Pig Hive Spark Scala - Hadoop - SQL/DB2/Shell script (good to have) -
The resource should have good experience in Java
- The resource should have knowledge and hands on Hadoop 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 Users
. - Ability to manage multiple priorities and assess quickly to changing priorities
- The resource should have good experience in Java
- The resource should have knowledge and hands on Hadoop 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 Users.
- Ability to manage multiple priorities and assess quickly to changing priorities

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