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Big Data Testing Jobs in New York (NOW HIRING)

1 point system

Big Data Tester

New York, NY · Remote

Required Skills - * 6+ years of software testing experience in quality engineering, quality ... related Big Data testing activities. * Good hands on experience with quality engineering and ...

GlobalLogic Inc.

Big Data Engineer

Bernardsville, NJ · On-site

$110K - $115K/yr

Perform integration testing and provide support to QA teams on large-scale projects. * Contribute ... Stay current with emerging techniques and trends in big data and AI/ML. Job Requirement: * 5+ years ...

New

Accord Technologies Inc.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Sr. Big Data Engineer Weehawken, NJ Strong Banking Domain experience is required Only Local ... Apply best practices for testing, instrumentation, observability, and alerting to maintain data ...

Sonsoft Inc

Sr. Big Data Engineer

Jersey City, NJ

$58.25 - $77/hr

The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction. An appreciation of the mechanics of complex machine ...

Sonsoft Inc

Sr. Big Data -Engineer

Jersey City, NJ

$58.25 - $77/hr

The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction. An appreciation of the mechanics of complex machine ...

Virtusa

Big Data

New York, NY · On-site

Knowledge in Big data tools like Spark, HiveQL is desirable. Ability to effectively use complex ... Apply Internal Standards for re-use, Architecture, Testing and general best practices. Responsible ...

Stem Xpert

Big Data Engineer

New York, NY

$61 - $80.75/hr

... testing, IT Consulting & staffing for IT Infrastructure Management through strategic consulting and ... Primary Skills: 1. Very strong server-side Java experience, especially in an open source, data ...

1 point system

ETL QA

New York, NY · Remote

Results-driven Senior QA Engineer with 6 to 8+ years of experience specializing in ETL testing, Big Data validation, Apache Spark testing, and Hadoop ecosystem-based quality engineering. Proven ...

PamTen Inc

Data QA / ETL Test Engineer

Jersey City, NJ · On-site

$45.25 - $61.50/hr

... testing data pipelines built on modern big data platforms. • Knowledge of ETL tools such as IDMC / IICS and familiarity with Informatica-based ecosystems. • Experience with data quality ...

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How much do big data testing jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for big data testing in New York is $68.90, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $77.60 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 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.

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 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.

Is big data testing a good career option?

Big Data Testing is a specialized field involving validating large datasets and data processing systems, often requiring knowledge of tools like Hadoop, Spark, and SQL. It offers strong job growth due to increasing data volumes and the need for data quality assurance, making it a viable career choice for those with technical skills in data management and testing methodologies.

What is the salary of big data tester?

The salary of a Big Data Tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with skills in tools like Hadoop or Spark can earn higher salaries.

What are popular job titles related to Big Data Testing jobs in New York?

For Big Data Testing jobs in New York, the most frequently searched job titles are:

What job categories do people searching Big Data Testing jobs in New York look for?

The top searched job categories for Big Data Testing jobs in New York are:

Big Data Testing jobs near you
Infographic showing various Big Data Testing job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $143,319 per year, or $68.9 per hour.

Big Data Tester

1 point system

New York, NY • Remote

Contractor

Posted 15 days ago

Job description

Required Skills -

  • 6+ years of software testing experience in quality engineering, quality assurance or a similar role.
  • Bamboo, and Github experience required
  • Cucumber-TestNG framework using JAVA, Selenium, RestAssured, Maven for UI and API Automation Testing experience preferred.
  • Nunit Framework using C#, Selenium, RestAssured, Nugut for UI and API testing experience preferred.
  • Excellent analytical skills with ability to troubleshoot problems and find root causes.
  • It would be great to see candidates with exposure to areas such as Apache Spark testing, EMR/Hadoop-based environments, data validation, and other related Big Data testing activities.
  • Good hands on experience with quality engineering and strategies.
  • Good experience with test automation, database testing, API testing and Java application testing.
  • Experience with use of AI technologies within testing is preferred.