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Big Data Hadoop Developer Jobs (NOW HIRING)

Lead Big Data engineering team with specialization on data ingestion (from 100+ source systems in ... Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka ...

Position: Hadoop Developer Location: Redmond WA Duration: 12 + Months Client: Wipro The Hadoop ... This person will also help integrate Big Data with the Data Virtualization Framework by writing ...

Big Data/Hadoop Developer Job Location: Alpharetta, GA Duration: 3-6 Months Contract + Extensions Total # Positions: 1 Interview: Phone+F2F (Or Direct FTF) interview.....Skype is option only for Non ...

Position: Hadoop Developer Location: Redmond WA Duration: 12 + Months Client: Wipro The Hadoop ... This person will also help integrate Big Data with the Data Virtualization Framework by writing ...

Experience in Big data testing (Hadoop) is required * Experience in any data warehouse technologies is preferred * Experience in managing testing teams in onsite offshore model * Ability to work in ...

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ...

Experience in Big data testing (Hadoop) is required * Experience in any data warehouse technologies is preferred * Experience in managing testing teams in onsite offshore model * Ability to work in ...

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 ...

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.

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 ...

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 ...

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Big Data Hadoop Developer information

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

As of Jun 9, 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 are the key skills and qualifications needed to thrive as a Big Data Hadoop Developer, and why are they important?

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 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 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.

What Is a 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 are the most commonly searched types of Big Data Hadoop Developer jobs? The most popular types of Big Data Hadoop Developer jobs are:
What states have the most Big Data Hadoop Developer jobs? States with the most job openings for Big Data Hadoop Developer jobs include:
What are popular job titles related to Big Data Hadoop Developer jobs? For Big Data Hadoop Developer jobs, the most frequently searched job titles are:
Infographic showing various Big Data Hadoop Developer job openings in the United States as of May 2026, with employment types broken down into 20% As Needed, and 80% Full Time. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.
Big Data Hadoop

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Posted 10 days ago


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Company Description

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Job Description

Job Details

Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred).

Lead Big Data engineering team with specialization on data ingestion (from 100+ source systems in batch and near real-time), egestion and governance.
Participate in collaborative software and system design and development of the new NCR Data Lake on Hortonworks HDP and HDF distributions.
Manage own learning and contribute to technical skill building of the team.
Inspire and cultivate the engineering mindset and systems thinking.
Gain deep technical expertise in the data movement patterns, practices and tools.
Play active role in Big Data Communities of Practice.
Put the minimal system needed into production.
Required Qualifications
Bachelor's degree or higher in Computer Science or a related field.
Good understanding of distributed computing and big data architectures.
Passion for software engineering and craftsman-like coding prowess.
Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred).
Experience with at least one of the leading CDC (Change Data Capture) tools like Informatica PowerCenter.
Development experience with at least one NoSQL database. HBase or Cassandra preferred.
Polyglot development (4-5 years+): Capable of developing in Java and Scala with good understanding of functional programming, SOLID principles and, concurrency models and modularization.
DevOps: Appreciates the CI and CD model and always builds to ease consumption and monitoring of the system. Experience with Maven (or Gradle or SBT) and Git preferred.
Experience in Agile development including Scrum and other lean techniques.
Should believe in You Build! You Ship! And You Run! Philosophy.
Personal qualities such as creativity, tenacity, curiosity, and passion for deep technical excellence.
Desired Qualifications
Experience with Big Data migrations/transformations programs in the Data Warehousing and/or Business Intelligence areas.
Experience with ETL tools like Talend, Pentaho, Attunity etc.
Knowledge of Teradata, Netezza etc.
Good grounding in NoSQL data stores such as Cassandra, Neo4j etc.
Strong knowledge on computer algorithms.
Experience with workload orchestration and automation tools like Oozie, Control-M etc.
Experience in building self-contained applications using Docker, Vagrant. Chef.

Additional Information

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