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Hadoop Developer Jobs in Virginia (NOW HIRING)

Hadoop Developer Location: Mclean, VA (Onsite from Day 1 in Hybrid Model) Duration: 9 - 12+ Months (With further ext. possibility) Notes: * Big Data Hadoop developer role * Experience with Data ...

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 ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH) * Certified Information Systems Security Professional (CISSP) About Data Intelligence, LLC: Data ...

Big Data Developer

Mclean, VA · On-site

$54.25 - $70.50/hr

Programming experience in BigData platform using Hadoop platform * Present ideas and recommendations on Hadoop and other technologies best use to management Qualifications: * 5+ years of experience ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH) * Certified Information Systems Security Professional (CISSP) About Data Intelligence, LLC: Data ...

Java / Big Data Developer

Reston, VA · On-site

$55.25 - $71.50/hr

Java/Big Data Developer This position requires a BA/BS in Computer Science, Information Systems ... Experience tuning Hadoop/Spark/hive parameters for optimal performance * Strong SQL query writing ...

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Hadoop Developer information

See Virginia salary details

$10

$59

$72

How much do hadoop developer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for hadoop developer in Virginia is $59.38, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $64.81 per hour, depending on experience, location, and employer.

What are Hadoop Developers?

Hadoop Developers are IT professionals who specialize in using Apache Hadoop, an open-source framework for distributed storage and processing of large data sets. They design, develop, and maintain applications that leverage Hadoop technologies such as HDFS, MapReduce, Hive, Pig, and Spark to process big data efficiently. Hadoop Developers are responsible for writing scalable code, optimizing data workflows, managing clusters, and ensuring data security. Their work helps organizations analyze vast amounts of data to gain valuable insights and make informed decisions.

What are some common challenges faced by Hadoop Developers when working with big data projects?

Hadoop Developers often encounter challenges such as managing the complexity of distributed systems, optimizing MapReduce jobs for performance, and ensuring data security across large clusters. Troubleshooting issues related to data consistency and job failures can require a deep understanding of both Hadoop internals and the data being processed. Additionally, integrating Hadoop with other big data tools and adapting to rapidly evolving technologies are common aspects of the role, making continuous learning essential.

What is the difference between Hadoop Developer vs Data Engineer?

AspectHadoop DeveloperData Engineer
Required SkillsHadoop ecosystem, Java, SQL, MapReduceData pipelines, ETL, cloud platforms, scripting
Work EnvironmentBig data projects, data processing teamsData infrastructure, data architecture teams
CertificationsCloudera, Hortonworks certificationsGoogle Cloud, AWS certifications
Industry UsageData processing, analytics companiesTech, finance, healthcare, any data-driven industry

Hadoop Developers focus on building and maintaining Hadoop-based data processing solutions, primarily working with the Hadoop ecosystem. Data Engineers have a broader role, designing and managing data pipelines and infrastructure across various platforms. While both roles require knowledge of big data tools, Data Engineers often work on larger data architecture projects, making their scope wider than Hadoop Developers.

What are the key skills and qualifications needed to thrive as a Hadoop Developer, and why are they important?

To thrive as a Hadoop Developer, you need strong programming skills in Java, Python, or Scala, a solid understanding of distributed computing, and a bachelor's degree in computer science or a related field. Familiarity with Hadoop ecosystem tools like HDFS, MapReduce, Hive, Pig, and experience with data processing frameworks such as Spark are typically required. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital for efficiently managing and processing large-scale data, ensuring robust big data solutions, and collaborating within diverse technical teams.
What are popular job titles related to Hadoop Developer jobs in Virginia? For Hadoop Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Hadoop Developer jobs in Virginia look for? The top searched job categories for Hadoop Developer jobs in Virginia are:
What are popular job titles related to Hadoop Developer jobs in VA? For Hadoop Developer jobs in VA, the most frequently searched job titles are:
Infographic showing various Hadoop Developer job openings in Virginia as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $123,507 per year, or $59.4 per hour.
Hadoop Developer

Hadoop Developer

Samprasoft

Mclean, VA • On-site

Other

Posted 12 days ago


Job description

Hadoop Developer

Location: Mclean, VA (Onsite from Day 1 in Hybrid Model)

Duration: 9 – 12+ Months (With further ext. possibility)

Notes:

  • Big Data Hadoop developer role
  • Experience with Data Warehouses
  • Experience with Hadoop (version 314/315 would be preferred)
  • Hands-on experience with building data pipelines using Pyspark
  • Experience with Python programming, Pyspark and Hive
  • Experience with DBs - Oracle/DB2/Mongo/SQL Server/NoSQL
  • Experience with XML and JSON
  • Experience with AWS Cloud would be a plus- EC2/S3/Lambda etc.