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Big Data Software Engineer Jobs in Texas (NOW HIRING)

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 ...

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 ...

Big Data Developer

Richardson, TX · On-site

$48.25 - $62.50/hr

Syntricate Technologies is seeking a Big Data Developer to work onsite in Richardson, TX. The role involves building automated data pipelines, performing data analysis, and utilizing big data ...

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 ...

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 ...

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 ...

Java/Scala Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Senior Java/Scala Big Data Engineer Location: Sunnyvale, CA or Austin, TX Candidate Type: Hands-on technical coder Core requirements * Strong hands-on Java and/or Scala development * Apache Spark ...

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 ...

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 ...

Big Data Architect

San Antonio, TX · On-site

$120 - $160/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 ...

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Experience or knowledge of big data tools: i.e., Hadoop, Spark, Kafka. * Experience or knowledge of software engineering tools/practices: i.e., Github,VSCode, CI/CD * Hands-on experience in designing ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The ideal candidate will work with big data technologies and cloud platforms to ensure efficient ... software engineers to support data-driven decision-making. • Ensure data quality, governance, and ...

Showing results 41-60

Big Data Software Engineer information

See Texas salary details

$14

$58

$82

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

As of Sep 3, 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?

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 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.

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 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 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:

Infographic showing various Big Data Software Engineer job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,047 per year, or $58.7 per hour.

$55.25 - $73/hr

Contractor

Re-posted 14 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