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Big Data Developer Jobs in Virginia (NOW HIRING)

USM

Big Data Engineer (Fulltime only)

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer_49415 Location: Reston, VA Duration: Full Time Description: * 6+ years of hands on experience and strong and deep knowledge of Java application development * Experience processing ...

Ventures Unlimited Inc

Sr. Big Data Architect

Mclean, VA

$68 - $91/hr

... developers, and interacts directly with key stakeholders. Responsible for developing long-term ... Experience with big data architectures, such as OpenStack, Hadoop, Pig, Hive or other big data ...

Maxar

Big Data Analyst (TS/SCI)

Springfield, VA · On-site

In this role, you will work closely with software developers, ETL engineers, Big Data SMEs, as well our infrastructure and cybersecurity teams leveraging open-source tools to create and maintain a ...

Maxar

Big Data Analyst (TS/SCI)

Herndon, VA · On-site

In this role, you will work closely with software developers, ETL engineers, Big Data SMEs, as well our infrastructure and cybersecurity teams leveraging open-source tools to create and maintain a ...

SAIC

Big Data Engineer Principal

Arlington, VA · On-site

Build and operate data pipelines and Lakehouse solutions leveraging AWS (e.g., S3, Glue, Lake ... Databricks Certified Apache Spark Developer Overview SAIC accepts applications on an ongoing basis ...

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How much do big data developer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for big data developer in Virginia is $58.49, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $65.53 per hour, depending on experience, location, and employer.

Is big data a good career?

Big Data Developers are in high demand due to the growth of data-driven decision making across industries. The role typically requires skills in programming, data management, and tools like Hadoop or Spark, and offers competitive salaries and opportunities for advancement. It is considered a promising career path for those interested in technology and data analysis.

What Is a Big Data Developer?

A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.

What is a Big Data Developer?

A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.

What are some common challenges Big Data Developers face when integrating new data sources into existing pipelines?

A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.

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

To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.

What is big data salary?

The salary for a Big Data Developer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill set. Professionals with expertise in tools like Hadoop, Spark, and data modeling tend to earn higher salaries, especially in competitive markets.

What is the difference between Big Data Developer vs Data Engineer?

AspectBig Data DeveloperData Engineer
Primary FocusDesigning and developing big data applications and solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsHadoop, Spark, Java, Scala, SQLETL, cloud platforms, scripting, database management
Work EnvironmentData teams, software development projectsData infrastructure, cloud environments, data warehouses
Industry UsageTech, finance, healthcare, retailTech, finance, telecom, e-commerce

While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.

What do big data developers do?

Big data developers design, build, and maintain systems for processing large volumes of data using tools like Hadoop, Spark, and SQL. They develop data pipelines, optimize data storage, and ensure data quality to support analytics and business decision-making.

Which is the hardest field in it?

For a Big Data Developer, the most challenging aspects often involve managing complex data architectures, optimizing performance for large-scale data processing, and ensuring data security and compliance. Staying updated with evolving tools like Hadoop, Spark, and cloud platforms also requires continuous learning and adaptation.
More about Big Data Developer jobs
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What job categories do people searching Big Data Developer jobs in Virginia look for? The top searched job categories for Big Data Developer jobs in Virginia are:
What are popular job titles related to Big Data Developer jobs in VA? For Big Data Developer jobs in VA, the most frequently searched job titles are:
Big Data Developer jobs near you
Big Data Engineer (Fulltime only)

Big Data Engineer (Fulltime only)

USM

Reston, VA • On-site

$58 - $76.75/hr

Full-time

Posted 2 days ago

Job description

Company Description

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. 

Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. 

Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services and e-commerce. 

USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.

Job Description

Position: Big Data Engineer_49415

Location: Reston, VA

Duration: Full Time

Description:

  • 6+ years of hands on experience and strong and deep knowledge of Java application development
  • Experience processing large amounts of structured and unstructured data. MapReduce experience is a huge plus.
  • Experience building and coding applications leveraging Hadoop Components: HDFS, HBase, Hive, Sqoop, Kafka, Storm etc
  • Experience coding in more than one of the following: Java, MapReduce, Python, Pig Programming, Hadoop Streaming, HiveQL
  • Experience developing RESTful Web Services
  • Agile/scrum experience
  • Experience leading and managing large scale, complex applications with high performance needs
  • Vendor management experience leveraging staff augmentation and/or outcome based project delivery models; statement of work planning and incremental demand forecasting
  • Experience managing on-site and off-site staff and demonstrated ability to collaborate and influence others to ensure timely and effective completion of project tasks
Qualifications

Position: Big Data Engineer_49415

Location: Reston, VA

Duration: Full Time

Description:

  • 6+ years of hands on experience and strong and deep knowledge of Java application development
  • Experience processing large amounts of structured and unstructured data. MapReduce experience is a huge plus.
  • Experience building and coding applications leveraging Hadoop Components: HDFS, HBase, Hive, Sqoop, Kafka, Storm etc
  • Experience coding in more than one of the following: Java, MapReduce, Python, Pig Programming, Hadoop Streaming, HiveQL
  • Experience developing RESTful Web Services
  • Agile/scrum experience
  • Experience leading and managing large scale, complex applications with high performance needs
  • Vendor management experience leveraging staff augmentation and/or outcome based project delivery models; statement of work planning and incremental demand forecasting
  • Experience managing on-site and off-site staff and demonstrated ability to collaborate and influence others to ensure timely and effective completion of project tasks
Additional Information

If my requirement matches your resume, then please do reply on my email id ksudheer(at)usmsystems(dot)com and contact no is 703-831-3101.

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