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Big Data Testing Jobs (NOW HIRING)

Omega Solutions, Inc.

Big Data Engineer

Wilmington, DE · On-site

$54 - $71.50/hr

... testing. Excellent problem solving and debugging skills • · Exposure in Data Management ... building Big Data technologies and utilities is required (Spark, Hadoop, Hive), building ...

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Perform unit and system-level testing of applications. * Develop reusable loosely-coupled software ...

krg technology inc

Big Data Architect

Fort Worth, TX · On-site

$61 - $78.50/hr

... of Big Data Applications. 2. Selecting the right Big Data tool sets to meet the requirement 3. ... Testing team for successful implementation of planned deliverables with zero defects in time 4. ...

ExlService Holdings, Inc.

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

Champion best practices for coding standards, version control, testing, and documentation. * Stay ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Perform unit and system-level testing of applications. * Develop reusable loosely-coupled software ...

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Champion best practices for coding standards, version control, testing, and documentation. * Stay ... Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) - deep, hands-on experience in on-premises ...

EROS Technologies, Inc.

Big Data Developer

Mooresville, NC · On-site

$50.25 - $65/hr

Big Data Developer Location: MOORESVILLE, NC Duration: 4+ Months Rate: Open (DOE) SUMMARY of SKILL ... Work closely with testers to spot bugs in programming code and fix any resulting issues. Aggressive ...

Info Way Solutions

ETL Tester (ETL/ Python)

Princeton, NJ · On-site

$54 - $70.50/hr

The role involves hands-on ETL/Big Data testing experience, writing complex Spark queries, and working with backend/front end enterprise applications. Responsibilities : • Minimums have hands on ET ...

Georgia IT, Inc.

Data Testing Lead (Remote)

Georgia IT, Inc. is seeking a Data Testing Lead to oversee data testing activities. The role involves strong data testing experience, understanding data mapping validation, and performance testing ...

krg technology inc

Hadoop Tester

Schaumburg, IL · On-site

Company Description Krg Tech inc 661 558 0000* 509 Candidate should have minimum 8 years of Experience in Big data testing . Candidate should have minimum 3 years of Experience in ETL testing . 5 ...

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 ...

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Big Data Testing information

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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 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 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.
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Big Data Testing jobs near you
Infographic showing various Big Data Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Salem, NH • On-site

Full-time

Re-posted 4 days ago

Job description

Job Description


Big Data Infrastructure Administrator


Merrimack NH or Dallas TX 

 12 Months contract

 Great pay


 Phone and Skype Interview 

  Job Description :

This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Infrastructure DevOps / Support Administrator serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. This will involve building and supporting a general purpose data analytics platform utilized by Fidelity's data scientist community. The incumbent will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a data hub and a blueprint for integrating with existing upstream and downstream technology solutions.

This role is DevOps and support administration. The position requires a strong background in computer architecture, software development, data management systems, distributed computing, and a solid understanding of the open-source technology ecosystem. An ideal prospect will have technical expertise, customer engagement skills, excellent communication skills, and a passion for organizing and analyzing data.

Primary Responsibilities

The incumbent will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service. Key responsibilities include:

Development, support, and maintenance of the infrastructure platform and application lifecycle

Design, development and implementation of automation innovations

Development of automated testing scripts

Building and nurturing relationships with Fidelity's developer and system administration communities

Contribution to all phases of the application lifecycle - requirements, development, testing, implementation, and support.

Responding and providing guidance to customers of the Big Data platform

Defining and implementing integration points with existing technology systems

Interacting with and participating in open-source software communities

Researching and remaining current on big data technology and industry trends and innovations

Participating in a 24 x 7 hour on-call support rotation

Education and Experience

B.S. Computer Science or equivalent

Master's degree is a plus

5+ years application development or systems administration experience

5+ years of development experience in one or more of the following languages: Java, C++, Perl, Python

Experience deploying or managing open-source software

Strong experience with any Linux distribution

Experience with Kafka and Cloudera

2+ years Hadoop experience

Database administration experience a plus

Skills and Knowledge

Certification and experience working in Hadoop

Certification and working experience in a NoSQL database

Experience with Splunk/HUNK or Solr solutions and dashboards running on Big Data technologies such as Hadoop

Strong background in Linux/Unix Administration

Agile Scrum or Kanban experience

Global team experience

Experience with automation/configuration management using Chef, Puppet or an equivalent

Programming in CI/CD technologies is a plus

Knowledge designing scalable distributed systems

Awareness of both current and developing technologies

Strong desire to innovate and develop future technology

Additional Information

All your information will be kept confidential according to EEO guidelines.

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