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Big Data Tester Jobs (NOW HIRING)

Lorven Technologies

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 ...

TriOptus LLC

Big Data Engineer

Houston, TX · On-site

$53.25 - $70.50/hr

Software Engineer (Big Data) Duration: 3-6 Months CTH Location: Houston/Plano , TX This is a W2 ... testing, deployment, maintenance and improvement of software. Anthony Kay

NGDATA

Big Data Engineer

New York, NY · On-site

$61 - $80.75/hr

Perform code reviews, functional testing of deliverables, and deployment activities. Minimum ... Big Data Engineer

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

... building, testing, and optimizing 'Big Data' data ingestion pipelines, architectures, and data sets * 2+ years of experience with Python (and/or Scala) and PySpark/Scala-Spark * 3+ years of ...

krg technology inc

Big Data Architect

Fort Worth, TX

$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. ...

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 ...

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Big Data Tester information

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How much do big data tester jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for big data tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What is a Big Data Tester job?

A Big Data Tester is responsible for validating the quality, accuracy, and performance of big data applications. They test large datasets, ensure proper data ingestion, processing, and storage, and verify that ETL processes function correctly. Their role involves working with tools like Hadoop, Spark, Hive, and SQL to perform data validation and automate testing. They also identify bottlenecks, ensure data integrity, and optimize performance to support business insights and decision-making.

What are the typical challenges faced by Big Data Testers in their day-to-day work?

Big Data Testers often encounter challenges related to the sheer volume, velocity, and variety of data, which can make test case design and execution more complex than traditional software testing. They must ensure data integrity and accuracy across distributed systems, often requiring proficiency in scripting and automation to validate large datasets efficiently. Additionally, they collaborate closely with developers, data engineers, and business analysts to identify data quality issues and address them quickly. Successfully handling these challenges ensures that the organization's big data solutions are reliable, scalable, and meet business requirements.

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

To thrive as a Big Data Tester, you need strong analytical skills, experience with data validation, and a solid background in computer science or related fields. Expertise in tools like Hadoop, Spark, SQL, Hive, and proficiency with automation testing frameworks and certifications such as ISTQB are highly valued. Attention to detail, problem-solving abilities, and effective communication are key soft skills for this role. These skills are critical to ensure data accuracy, seamless collaboration, and the effective testing of complex big data systems.

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Big Data Tester jobs near you

Big Data Infrastructure Administrator

Right Talent Right Now

Dallas, TX

Full-time

Posted 25 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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