1

Stream Jobs in Virginia (NOW HIRING)

Java Developer

Mclean, VA · On-site

$51.50 - $66.75/hr

Work on event-driven architectures and streaming-based systems using AWS and messaging frameworks. * Build and maintain applications leveraging MongoDB , relational databases, and NoSQL stores.

Sr. Data Engineer

Fairfax, VA

$113K - $136K/yr

Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required * Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services

Java Developer

Mclean, VA · On-site

$51.50 - $66.75/hr

Stay updated with new trends in Java, Spark, cloud technologies, and streaming platforms . Required Skills & Qualifications * 8-10 years of experience in Java development, with strong knowledge of ...

Technical Architect

Mclean, VA · On-site

$67 - $80.75/hr

Key Responsibilities • Define enterprise-wide Kafka architecture, design principles, and best practices. • Lead the design and deployment of high-throughput, low-latency streaming platforms using ...

The Kafka Architect will be responsible for designing, implementing, and managing scalable, high-performance data streaming solutions using the Apache Kafka ecosystem, with a strong focus on ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Kafka, Flink, or Spark Streaming) * 3+ Years Experience in open source frameworks (Spring Boot, React.js etc.) * 2+ Years Better to have experience in Agile practices * Preferred to have experience ...

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117K - $140K/yr

Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub), and experience with both streaming and batch workflows will be essential in ensuring the efficient flow and processing of ...

Engineer II, Data

Richmond, VA · On-site

$113K - $136K/yr

This role sits on the Enterprise Data Services team, which owns streaming data ingestion, curation, and delivery for Analytics and Data Science teams. Key Responsibilities * Design, build, and ...

next page

Showing results 1-20

Stream information

See Virginia salary details

$11.4K

$66.2K

$117.5K

How much do stream jobs pay per year?

As of Jun 13, 2026, the average yearly pay for stream in Virginia is $66,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $86,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Stream Engineer, you need a solid background in computer science, real-time data processing, and experience with distributed systems, typically supported by a relevant degree. Proficiency with tools such as Apache Kafka, Apache Flink, or similar streaming platforms, along with knowledge of programming languages like Java or Scala, is essential. Strong problem-solving, communication, and collaboration skills set outstanding candidates apart in this fast-evolving field. These skills and qualities ensure efficient, reliable real-time data processing and the ability to adapt to rapidly changing technical requirements.

What are stream jobs?

Stream jobs refer to positions that involve the management, analysis, or delivery of streaming data or content, such as video, audio, or real-time information. This can include roles in live video broadcasting, content moderation, data engineering, or software development for streaming platforms. People working in stream jobs may be responsible for ensuring smooth data flow, maintaining high-quality user experience, or developing tools to process and distribute content efficiently. These positions are common in industries like entertainment, gaming, social media, and big data analytics.

What is the difference between Stream vs Data Engineer?

AspectStreamData Engineer
Required CredentialsTypically a degree in computer science or related field, familiarity with streaming platformsDegree in computer science, data science, or related, with knowledge of data pipelines
Work EnvironmentReal-time data processing, often cloud-based or on-premisesDesigning, building, and maintaining data infrastructure and pipelines
Industry UsageUsed in industries requiring real-time analytics like finance, IoT, and mediaUsed across industries for data warehousing, analytics, and reporting

Stream specialists focus on real-time data processing and streaming platforms, while Data Engineers build and maintain the broader data infrastructure. Both roles require similar technical skills but differ in scope and focus, with Stream roles emphasizing real-time data flow and Data Engineers handling comprehensive data pipelines.

What are some common challenges faced by professionals working in streaming media roles, and how can they be overcome?

Professionals in streaming media roles often encounter challenges such as managing high-traffic live events, ensuring content delivery to diverse devices, and troubleshooting latency or buffering issues. Staying current with rapidly evolving streaming technologies and industry standards is also essential. Collaboration with cross-functional teams—such as developers, content creators, and network engineers—is key to resolving technical problems efficiently. Gaining hands-on experience with streaming platforms and participating in continuous learning can help you excel and adapt in this dynamic environment.
What are the most commonly searched types of Stream jobs in Virginia? The most popular types of Stream jobs in Virginia are:
What are popular job titles related to Stream jobs in Virginia? For Stream jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Stream job openings in Virginia as of June 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,189 per year, or $31.8 per hour.

$51.50 - $66.75/hr

Full-time

Posted 20 days ago


Job description

Role Name: Java Developer
Location: McLean, VA (Onsite - Local Candidates Only)
Experience: 8-10 Years
Duration: 6 Months
GBaMS ReqID: 10366366
Roles & Responsibilities
  • Design, develop, and enhance Java-based applications using advanced Java concepts.
  • Develop scalable microservices using Spring Boot and integrate with GraphQL-based services.
  • Work on event-driven architectures and streaming-based systems using AWS and messaging frameworks.
  • Build and maintain applications leveraging MongoDB, relational databases, and NoSQL stores.
  • Develop, test, deploy, and maintain cloud-based solutions in AWS environment (hands-on, not theoretical).
  • Integrate with messaging and streaming platforms such as Kafka (nice to have).
  • Contribute to CI/CD pipelines using Jenkins, Git, and Bitbucket.
  • Perform database version control using Flyway (nice to have).
  • Understand and support big data processing workflows using Spark and EMR.
  • Troubleshoot production issues and provide root-cause analysis and timely fixes.
  • Collaborate with cross-functional teams for requirements, design discussions, and solution delivery.

Competencies
  • Strong analytical and problem-solving skills.
  • Solid understanding of microservices design patterns.
  • Ability to work in fast-paced, onsite team environments with tight deadlines.
  • Strong communication skills for interaction with technical and business teams.
  • Capability to deliver high-quality, scalable, and maintainable code.

Required Technical Skills
  • Advanced Java, Object-Oriented Programming, and Java Enterprise patterns.
  • Spring Boot, Microservices, RESTful APIs, GraphQL.
  • AWS Cloud - strong hands-on experience with AWS services.
  • MongoDB, RDBMS, NoSQL databases.
  • CI/CD: Jenkins, Git, Bitbucket.
  • Event-Based Systems & messaging patterns.
  • Kafka Streaming (nice to have).
  • Flyway for database migrations (nice to have).
  • Spark & EMR - understanding of processing frameworks and pipelines.

Must-Have Qualifications
  • 8-10 years of experience in Java backend development.
  • Proven hands-on AWS experience (not theoretical).
  • Strong expertise in Spring Boot microservices and GraphQL.
  • Strong experience with MongoDB and knowledge of RDBMS/NoSQL data models.
  • Experience with CI/CD, Jenkins, Git, and Bitbucket.
  • Experience with event-driven architectures and streaming-based systems.
  • Understanding of Spark and EMR for data processing workflows.
  • Ability to develop scalable, high-performance backend services.