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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 ...

Very strong with hands-on testing experience in BigData (Hadoop /Hbase/Hive/HQL). Proficient with Unix. North Carolina - Morrisville - Expert level experience in Big Data testing. Experience in ...

Sr Big data tester

Chicago, IL · On-site

$57.50 - $76/hr

Sr Big Data Tester Location: Phoenix-AZ/ Morrisville-NC/ Plano-TX/ Chicago-IL/ Portland-OR/ East ... testing Expertise on one or more scripting languages: Java, Python, Ruby, Perl, Groovy etc.

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 ...

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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 Jun 29, 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.

How much do website testers get paid?

Website testers, including those involved in big data testing, typically earn between $15 and $40 per hour depending on experience, location, and complexity of the testing tasks. Entry-level testers may earn closer to the lower end, while experienced testers with skills in automation tools and data analysis can command higher rates or salaries, often working full-time or freelance schedules.

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 test data processing workflows and ensure data quality in environments that handle massive volumes 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 with certifications and experience in data quality assurance.

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 specialized role that involves validating large datasets and data processing pipelines to ensure accuracy and performance. It requires skills in data analysis, scripting, and familiarity with tools like Hadoop or Spark. The demand for professionals in this field is growing as organizations increasingly rely on big data for 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 June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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

Posted 14 hours 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.