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Jr Hadoop Developer Jobs in Virginia (NOW HIRING)

JR Software Developer

Chantilly, VA · On-site

$65K - $85K/yr

Seeking a highly motivated, self-directed professional to fill a Software Developer role in ... Familiarity with Apache Hadoop ecosystem (e.g. HDFS, MapReduce, YARN). * Knowledge of Apache Spark ...

Jr Hadoop Developer information

What is the difference between Jr Hadoop Developer vs Data Engineer?

AspectJr Hadoop DeveloperData Engineer
Required CredentialsBasic knowledge of Hadoop, Java, SQLAdvanced skills in Hadoop, Spark, Python, cloud platforms
Work EnvironmentEntry-level projects, small teams, focused on Hadoop componentsDesigning data pipelines, managing large-scale data systems
Industry UsageUsed in companies with Hadoop-based data solutionsBroader data infrastructure roles across industries

The Jr Hadoop Developer typically focuses on basic Hadoop tasks and requires foundational skills, while a Data Engineer handles comprehensive data pipeline development and architecture, often with more advanced tools and certifications. Both roles are essential in data management but differ in scope and experience level.

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What cities in Virginia are hiring for Jr Hadoop Developer jobs?

Cities in Virginia with the most Jr Hadoop Developer job openings:

JR Software Developer

Chantilly, VA • On-site

Probity Inc.
51 - 200 employees

$65K - $85K/yr

Full-time

Re-posted 8 days ago


Job description

PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph

Position Code: 20-SO1002-1
Position Description:
Seeking a highly motivated, self-directed professional to fill a Software Developer role in Chantilly, VA, to provide developer support for systems and tools that process a large volume of data from a variety of sources. The tools are used by analysts and data scientists in support of the customer’s mission. Specifically seeking candidates with experience in software development and data engineering.
Required Qualifications:
  • A master’s degree in Computer Science, Information Systems, Engineering, or additional years of specialized experience in a scientific or technical discipline.
  • Demonstrated experience with Python programming language and its ecosystem (e.g. NumPy, pandas, scikit-learn).
  • Demonstrated experience with Java or Scala programming languages for building scalable data pipelines.
  • Demonstrated experience with SQL, (e.g. MySQL, PostgreSQL, Hive).
  • Familiarity with Apache Hadoop ecosystem (e.g. HDFS, MapReduce, YARN).
  • Knowledge of Apache Spark and its APIs (e.g. Spark SQL, Spark Streaming, Mllib).
  • Experience working in cloud-based data platforms like AWS Glue, Google Cloud Dataflow, or Azure Data Factory.
  • Experience with containerization technologies (e.g. Docker)
  • Experience working with orchestration tools (e.g. Kubernetes, Apache Airflow)
  • Proven experience working in a dynamic working environment.
  • Proven experience working in an Agile scrum teamwork environment.
Additional Qualifications:
  • Excellent communication and collaboration skills.
  • Analytical, critical, and creating thinking and problem-solving skills.
  • Excellent time management skills.
  • Attention to detail.