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Big Data Testing Jobs (NOW HIRING)

Big Data Testing Engineer

$57 - $75.50/hr

Net Orbit Inc has openings for the position Big Data Testing Engineer. Project Location: Remote / El Segundo, CA 90245 (Current Roles & Responsibility): • Validation of data using sqoop and shell ...

At least 4 years of experience in Data warehouse testing Skills in creating Test Strategy, Test scenarios and Test cases with hands on technical knowledge. * Experience in Big data testing (Hadoop ...

At least 4 years of experience in Data warehouse testing Skills in creating Test Strategy, Test scenarios and Test cases with hands on technical knowledge. * Experience in Big data testing (Hadoop ...

Hadoop/HBASE testing experience a must have (esp. HDFS Shell commands). Hive shell or beeline ... Understanding of Performance Test activities & Load Simulation is a big plus. Additional ...

Big data

Bellevue, WA

$59.75 - $77.50/hr

My name is Suneetha from Testing Xperts, we are a global staffing, consulting and technology ... Big data Location: Bellevue, WA Must Have Skills (Top 3 technical skills only) * 1. Accumulo ...

... of Datawarehouse, Big Data and BI Analytics concepts Strong experience in SQL, PL/SQL Oracle, Informatica & Tableau Demonstrated experience implementing automation frameworks using scripting ...

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of experience in analysis, coding, implementation and testing of Big Data Applications (API & Batch) on ...

Some background in PySpark or Hadoop based data testing would be a big plus for us. A background mostly on the web and mobile automation side, won't be a great right fit for this role. If you can ...

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Big Data Testing information

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$15

$62

$88

How much do big data testing jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for big data testing in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is Big Data Testing?

Big Data Testing is the process of verifying and validating the quality, accuracy, and reliability of large and complex data sets and the systems that process them. It involves testing data ingestion, processing, storage, and retrieval to ensure that big data applications function as expected. This type of testing also checks for data integrity, performance, and scalability issues in big data environments such as Hadoop, Spark, or NoSQL databases. The goal is to ensure that data-driven applications deliver correct and meaningful insights.

What is a big data tester?

A big data tester is a professional responsible for verifying the accuracy, performance, and reliability of large-scale data systems. They use tools like Hadoop, Spark, and SQL to identify data inconsistencies, bugs, and system issues, ensuring data quality and system efficiency in environments that handle vast amounts of information.

What is the difference between Big Data Testing vs Data Analyst?

AspectBig Data TestingData Analyst
Required SkillsData validation, scripting, understanding of big data toolsData interpretation, SQL, visualization skills
Work EnvironmentTesting environments, big data platforms like Hadoop, SparkData analysis platforms, BI tools, databases
CertificationsBig Data certifications, ISTQB, testing-focused credentialsData analysis certifications, SQL, Tableau
Industry UsageQuality assurance in big data projectsBusiness insights, reporting, decision-making

Big Data Testing focuses on validating data quality, performance, and integrity within big data systems, requiring testing skills and knowledge of big data tools. Data Analysts interpret and visualize data to support business decisions, emphasizing analytical skills and data visualization. While both roles work with large datasets, Big Data Testing ensures system reliability, whereas Data Analysts focus on deriving insights from data.

What are some common challenges faced by professionals in Big Data Testing, and how can they be addressed?

One common challenge in Big Data Testing is ensuring data quality and accuracy when dealing with vast, complex datasets that often span multiple sources and formats. Testers must also handle performance and scalability issues, as big data platforms process information at high volumes and speeds. Collaborating closely with data engineers and developers is essential to understand data flows and system architecture. To address these challenges, testers often use automation tools, develop robust test strategies, and continually update their skills to keep pace with evolving big data technologies.

What is big data salary?

The salary for a Big Data Testing professional varies based on experience, location, and skill set, but typically ranges from $70,000 to $130,000 annually. Professionals with expertise in tools like Hadoop, Spark, and data validation often command higher salaries, especially in roles requiring advanced technical skills and certifications.

Are QA testers in demand in 2026?

QA testers in big data testing are expected to remain in demand in 2026 due to the increasing volume of data and the need for quality assurance in data pipelines and analytics. Skills in automation tools, scripting, and understanding of data environments will enhance job prospects. Continuous learning and certifications can improve employability in this evolving field.

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

To thrive as a Big Data Tester, you need a solid understanding of data analytics, software testing methodologies, and a background in computer science or information technology. Familiarity with big data tools such as Hadoop, Spark, Hive, SQL, as well as automation frameworks and scripting languages like Python or Java, is typically required. Attention to detail, analytical thinking, and strong problem-solving abilities are crucial soft skills for identifying data issues and ensuring data quality. These skills are essential to validate large-scale data systems effectively, ensuring reliability, accuracy, and performance in data-driven projects.

Is big data a good career?

Big Data Testing is a growing field with high demand for professionals skilled in data validation, testing tools, and programming languages like Python or Java. It offers opportunities in industries such as finance, healthcare, and technology, often requiring certifications and knowledge of data management platforms. The career can be lucrative and stable due to the increasing reliance on data-driven decision making.
More about Big Data Testing jobs
What states have the most Big Data Testing jobs? States with the most job openings for Big Data Testing jobs include:
Infographic showing various Big Data Testing job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 67% Full Time, 28% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Big Data Testing Engineer

$57 - $75.50/hr

Full-time

Re-posted 21 days ago


Job description

Net Orbit Inc has openings for the position Big Data Testing Engineer.
Project Location: Remote / El Segundo, CA 90245
Job Description: (Current Roles & Responsibility):
• Validation of data using sqoop and shell scripts. Hands on HQL, hdfs files, partitioning, data load, mock data prep and queries writing in hive/impala
• Writing queries using joins and using db
• Managing hdfs directories using UNIX/Linux
• Writing test automation scripts etc
Work location is Tempe, AZ with required travel to client locations throughout the USA. Please mail resumes to 1232 E Broadway Rd, Suite 110, Tempe, AZ 85282 (OR) e-mail: anil@netorbit.com.