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Big Data Hadoop Developer Jobs (NOW HIRING)

Big Data Hadoop Tester

Dallas, TX · On-site

$55.25 - $73/hr

Keylent Inc is seeking a Big Data Hadoop Tester to work with big data analytics engineers. The role involves developing automated testing systems, creating test plans, and performing bug tracking and ...

At least 2 years of experience in Big Data space . * At least 2 years of Strong Hadoop Experience - MAP REDUCE/Hive/Pig/SQOOP/OOZIE - MUST * Candidate should have hands on experience with Java, APIs ...

Sr Hadoop Developer Location: Newark, DE, Plano TX, Charlotte,NC Fulltime Skill: Hadoop Developer ... in Big data(Cloudera). * Exposure to and strong working knowledge on distributed systems.

Big Data Hadoop Tester

Dallas, TX · On-site

$55.25 - $73/hr

Keylent Inc is seeking a Big Data Hadoop Tester to work closely with big data analytics engineers. The role involves developing automated testing systems, validating test data, and ensuring the ...

Hadoop Developer Location: Charlotte, NC - Hybrid Duration: 12 months Develops, enhances, debugs ... Minimum 4-5 years of Big Data experience. * Solid understanding on OOP languages and must have ...

Analyze application for data integrity issues. * Develop test protocols or plan for testing revised ... Proven understanding and related experience with Hadoop, Hive, Sqoop and Map/Reduce * Ability to ...

Company Description Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on ...

Analyze application for data integrity issues. * Develop test protocols or plan for testing revised ... Proven understanding and related experience with Hadoop, Hive, Sqoop and Map/Reduce * Ability to ...

Hiring Alert | Hadoop Developer Location: Charlotte, NC (Onsite) Employment Type: Full-Time ... Big Data Development * Distributed Data Processing * ETL / ELT Pipeline Development * Spark Job ...

... programming/scripting experience skills - preferably Python, Perl, Javascript, UNIX shell Should ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

Showing results 41-60

Big Data Hadoop Developer information

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$10

$55

$71

How much do big data hadoop developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for big data hadoop developer in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

What is a big data Hadoop developer?

Software developers usually need a bachelor’s degree in computer science, software engineering, or a related field. However, hands-on experience is the most important qualification for Hadoop professionals. To become a big data Hadoop developer, you must understand how to use Hadoop software for big data applications, as well as every step of software development and implementation, including processing, programming, and scripting. You may gain this experience through a Hadoop certification program, software development internship, or on-the-job training. Additional qualifications include strong communication skills and the ability to work as part of a team.

What does a big data Hadoop developer do?

A Big Data Hadoop Developer is responsible for designing, developing, and managing large-scale data processing applications using the Hadoop ecosystem. They work with massive volumes of structured and unstructured data, utilizing tools like HDFS, MapReduce, Hive, Pig, and Spark to process, analyze, and store data efficiently. Their role often includes writing scripts, optimizing queries, troubleshooting system issues, and collaborating with data scientists and analysts to meet business needs.

What are the key skills and qualifications needed to thrive as a big data Hadoop developer?

To thrive as a Big Data Hadoop Developer, you need strong programming skills in Java, Python, or Scala, a solid understanding of distributed computing, and experience with Hadoop ecosystem tools, typically backed by a relevant degree in computer science or engineering. Familiarity with Hadoop components (HDFS, MapReduce, Hive, Pig, Spark), data ingestion tools (Sqoop, Flume), and certifications like Cloudera or Hortonworks are highly valued. Problem-solving, analytical thinking, and effective communication are essential soft skills that distinguish top performers in this role. These skills ensure efficient processing of large-scale data, enable collaboration with data teams, and support the development of scalable big data solutions.

What are some common challenges big data Hadoop developers face when working with large-scale data pipelines?

Big Data Hadoop Developers often encounter challenges such as optimizing the performance of distributed data processing jobs, managing resource allocation across Hadoop clusters, and ensuring data quality during ingestion and transformation. Additionally, they must address issues related to data security and handle the complexities of integrating Hadoop with other tools in the big data ecosystem. Collaborating closely with data engineers, analysts, and system administrators is crucial to troubleshoot problems and deliver reliable, scalable data solutions.

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The most popular types of Big Data Hadoop Developer jobs are:

Who are the top companies hiring for Big Data Hadoop Developer jobs?

The top employers for Big Data Hadoop Developer jobs are:

What states have the most Big Data Hadoop Developer jobs?

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Infographic showing various Big Data Hadoop Developer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,474 per year, or $56 per hour.

Big Data Hadoop Tester

Keylent Inc

Dallas, TX • On-site

$55.25 - $73/hr

Full-time

Re-posted 25 days ago


Key responsibilities

  • Develop automated testing systems for big data systems using Java, Bash, and Python.

  • Create test plans, test cases, and perform bug tracking and defect management for big data storage and processing systems.

  • Test and validate the performance, scalability, and data integrity of big data systems using tools like Hive, Spark, and EMR.


Job description

Job Summary:
Keylent Inc is seeking a Big Data Hadoop Tester to work with big data analytics engineers. The role involves developing automated testing systems, creating test plans, and performing bug tracking and management to ensure the quality of big data systems.
Responsibilities:
• Work with big data analytics engineers to develop automated testing systems.
• Develop testing software that will generate and validate test data for big data systems.
• Develop testing software that will investigate the performance and scalability of big data systems.
• Design and implement automated testing systems using Java.
• Develop and update scripts in Bash and Python;
• Write and build codes using Hive, Pig, UNIX;
• Develop PL/SQL queries to extract and update data from various database tables and perform data validation and verification;
• Run data analytics in Spark using Spark SQL;
• Perform bug tracking and defect management using JIRA, ALM;
• Develop a web application from end to end and deploy it on a Tomcat server in an AWS EC2 instance;
• Testing Big Data storage systems using tools & frameworks like Hive, EMR, Spark, Spark SQL;
• Work with product managers and development leads to create testing strategies.
• Create test plans and test cases for assigned components.
• Execute and automate test cases, perform bug tracking and management.
• Contribute in building a flexible and scalable data testing automation solution.
• Help create and implement quality processes and requirements, Identify and communicate risks about
Qualifications:
Required:
• Work with big data analytics engineers to develop automated testing systems.
• Develop testing software that will generate and validate test data for big data systems.
• Develop testing software that will investigate the performance and scalability of big data systems.
• Design and implement automated testing systems using Java.
• Develop and update scripts in Bash and Python.
• Write and build codes using Hive, Pig, UNIX.
• Develop PL/SQL queries to extract and update data from various database tables and perform data validation and verification.
• Run data analytics in Spark using Spark SQL.
• Perform bug tracking and defect management using JIRA, ALM.
• Develop a web application from end to end and deploy it on a Tomcat server in an AWS EC2 instance.
• Testing Big Data storage systems using tools & frameworks like Hive, EMR, Spark, Spark SQL.
• Work with product managers and development leads to create testing strategies.
• Create test plans and test cases for assigned components.
• Execute and automate test cases, perform bug tracking and management.
• Contribute in building a flexible and scalable data testing automation solution.
• Help create and implement quality processes and requirements, Identify and communicate risks about.
Company:
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space. Founded in 2010, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Keylent logo

About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

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