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Big Data Developer Jobs in Virginia (NOW HIRING)

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Experience with the full data lifecycle, from ingest through display, in a Big Data environment.

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Data Engineer 2. Job Summary : Develop unit test case for each module Conduct/ guide conducting of ... Big Data computing Spark Scala AWS Java. 5. Demand requires Travel? : No 6. Certification(s ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Experience with the full data lifecycle, from ingest through display, in a Big Data environment.

Seeking a Senior Data Engineer to design and implement high-performance data processing ... Big Data: Spark (Core/SQL/Streaming), Ab Initio (ETL design & integration). Cloud: AWS (S3, EMR ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ... Proficiency in programming languages such as Python, Scala, or Java * Experience with data ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ... Proficiency in programming languages such as Python, Scala, or Java * Experience with data ...

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on experience building ... Proficiency in programming languages such as Python, Scala, or Java * Experience with data ...

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that ...

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Showing results 1-20

Big Data Developer information

See Virginia salary details

$18

$58

$77

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.
What are popular job titles related to Big Data Developer jobs in Virginia? For Big Data Developer jobs in Virginia, the most frequently searched job titles are:
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:

Data Engineer

KDA Consulting Inc

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Posted 7 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.

Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Build and optimize data workflows supporting both batch and real-time processing
  • Ensure high availability and reliability of data pipelines across enterprise systems

AWS Cloud & Data Services

  • Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
  • Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
  • Implement best practices for data storage, partitioning, and lifecycle management

Data Optimization & Performance

  • Optimize data storage and retrieval for performance, scalability, and cost efficiency
  • Implement indexing, partitioning, and query optimization strategies
  • Monitor and troubleshoot data pipeline performance issues

Data Quality & Governance

  • Ensure data accuracy, consistency, and integrity across all data pipelines and systems
  • Implement validation, monitoring, and error-handling mechanisms
  • Support data governance practices and compliance with security and IC standards

Collaboration & Integration

  • Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
  • Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
  • Participate in Agile development processes and contribute to continuous improvement efforts

Requirements

Active TS/ SCI W/ Polygraph Required.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Demonstrated experience in data engineering and pipeline development

Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)

Proficiency in SQL and Python for data processing and transformation

Experience working with large-scale data sets and big data technologies

Strong analytical and problem-solving skills