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Intern Streaming Data Engineer Jobs in Springfield, VA

Senior Data Engineer

Herndon, VA ยท On-site

$130K - $170K/yr

Design and implement batch and real-time streaming data ingestion pipelines utilizing Spark, Kafka ... Experience: 4-7+ years of data engineering experience. Technical Competencies: * Data Processing ...

Senior Data Engineer

Chantilly, VA ยท On-site

$130K - $170K/yr

Design and implement batch and real-time streaming data ingestion pipelines utilizing Spark, Kafka ... Experience: 4-7+ years of data engineering experience. Technical Competencies: * Data Processing ...

Senior Data Engineer with Security Clearance

Chantilly, VA ยท On-site

$109K - $148K/yr

The data engineer will work with and analyze our client's challenges and provide solutions by designing and implementing batch and streaming data pipelines. Essential Job Duties * Develop and perform ...

Data Engineer with Security Clearance

Arlington, VA ยท On-site

$131K - $158K/yr

Build and operate batch and streaming data pipelines supporting mission requirements * Develop and ... Collaborate with engineers, analysts, and data scientists to deliver reusable data products and ...

Data Engineer

Springfield, VA ยท On-site

$60K - $180K/yr

M9 Solutions is seeking a Data Engineer to work onsite in support of a government contract for a ... Streaming Data Processing: Work with Apache Kafka (or similar platforms) to handle high-volume, low ...

Data Engineer

Springfield, VA ยท On-site

$60K - $180K/yr

M9 Solutions is seeking a Data Engineer to work onsite in support of a government contract for a ... Streaming Data Processing: Work with Apache Kafka (or similar platforms) to handle high-volume, low ...

Data Engineer (BigQuery)

Reston, VA ยท On-site

$119K - $143K/yr

Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis). * DHS, or other federal data engineering experience. * Active Public Trust or higher clearance. Clearance DHS suitability and a ...

Data Engineer (BigQuery)

Washington, DC ยท On-site

$129K - $155K/yr

Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis). * DHS, or other federal data engineering experience. * Active Public Trust or higher clearance. Clearance DHS suitability and a ...

Data Engineer (BigQuery)

Washington, DC ยท On-site

$129K - $155K/yr

Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis). * DHS, or other federal data engineering experience. * Active Public Trust or higher clearance. Clearance DHS suitability and a ...

Data Engineer (BigQuery)

Bethesda, MD ยท On-site

$122K - $147K/yr

Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis). * DHS, or other federal data engineering experience. * Active Public Trust or higher clearance. Clearance DHS suitability and a ...

Showing results 41-60

Intern Streaming Data Engineer information

See Springfield, VA salary details

$14

$26

$40

How much do intern streaming data engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for intern streaming data engineer in Springfield, VA is $26.55, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $30.14 per hour, depending on experience, location, and employer.

What does an intern streaming data engineer do?

An Intern Streaming Data Engineer assists in designing, developing, and maintaining systems that process real-time data streams. They typically work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to collect, process, and analyze data as it arrives. Their responsibilities may include writing code, troubleshooting data pipelines, and collaborating with senior engineers to ensure data flows efficiently. The role is ideal for students or recent graduates looking to gain hands-on experience with big data and real-time analytics.

What types of projects or tasks can an intern streaming data engineer expect to work on during their internship?

As an Intern Streaming Data Engineer, you can expect to work on projects involving the development, testing, and optimization of real-time data pipelines. Typical tasks may include assisting with the integration of streaming platforms like Apache Kafka or AWS Kinesis, writing and debugging code to process large volumes of incoming data, and collaborating with senior engineers to ensure data quality and reliability. You'll often work within a team of data engineers and analysts, gaining hands-on experience with the latest big data tools and contributing to solutions that support real-time analytics and business decision-making.

What are the key skills and qualifications needed to thrive as an intern streaming data engineer, and why are they important?

To thrive as an Intern Streaming Data Engineer, you typically need foundational knowledge in computer science, data engineering concepts, and familiarity with real-time data processing. Experience with tools like Apache Kafka, Apache Flink, or Spark Streaming, and programming languages such as Python or Java, is often preferred. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills and qualifications are crucial for efficiently building, maintaining, and troubleshooting streaming data pipelines in dynamic data-driven environments.

What is the difference between Intern Streaming Data Engineer vs Intern Data Analyst?

AspectIntern Streaming Data EngineerIntern Data Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark Streaming), programming (Python, Java), data pipeline developmentData analysis, SQL, Excel, basic statistical skills
Work EnvironmentDeveloping real-time data pipelines, working with big data toolsAnalyzing stored data, generating reports and insights
Industry UsageTech, finance, e-commerce companies focusing on real-time data processingMarketing, business intelligence, research departments

The Intern Streaming Data Engineer focuses on building and maintaining real-time data pipelines using streaming technologies, requiring programming and big data skills. In contrast, the Intern Data Analyst primarily analyzes stored data to generate insights, emphasizing statistical and reporting skills. Both roles are common in data-driven industries but serve different functions within data management and analysis.

What are popular job titles related to Intern Streaming Data Engineer jobs in Springfield, VA?

For Intern Streaming Data Engineer jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Intern Streaming Data Engineer jobs in Springfield, VA look for?

The top searched job categories for Intern Streaming Data Engineer jobs in Springfield, VA are:

Infographic showing various Intern Streaming Data Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $55,221 per year, or $26.5 per hour.

Senior Data Engineer

Herndon, VA โ€ข On-site

Dark Wolf Solutions
IT Servicesย โ€ขย 51 - 200 employees

$130K - $170K/yr

Full-time, Contractor

Re-posted 26 days ago


Key responsibilities

  • Design, build, and optimize data pipelines, data warehouses, and streaming solutions.

  • Integrate heterogeneous data sources and automate workflows within secure multi-cloud environments.

  • Deploy and manage containerized data microservices using Docker and Kubernetes.


Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions. You will be responsible for integrating heterogeneous data sources, building complex analytical data models, automating workflows, and deploying containerized data services within multi-cloud secure environments.
Key Responsibilities
  • Design and implement batch and real-time streaming data ingestion pipelines utilizing Spark, Kafka, and Airflow.
  • Model and build performant data structures within enterprise data warehouses (e.g., Snowflake, Redshift, BigQuery).
  • Deploy and manage containerized data microservices using Docker and Kubernetes.
  • Integrate automated security scanning and credential management tools into continuous integration (CI/CD) data pipelines.
  • Collaborate within Agile teams to estimate user stories, review code, and mentor junior data engineers.

Qualifications:
  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
  • Experience: 4-7+ years of data engineering experience.

Technical Competencies:
  • Data Processing Frameworks: Hands-on experience with PySpark, Apache Airflow, Kafka, and dbt.
  • Database Systems: Strong expertise with MPP databases, distributed data stores, and graph or key-value engines.
  • Data Modeling: Proficiency in Kimball dimensional modeling, Data Vault 2.0, and high-performance schema optimization.
  • Programming & Scripting: Strong proficiency in Python, SQL, Scala, or Java, alongside REST API development.
  • Containerization: Proficient with Docker container orchestration, Kubernetes deployment, and Helm charts.
  • Agile Frameworks: Active participation in Agile sprint execution, story point estimation, and backlog grooming.
  • Multi-Cloud Architecture: Experience configuring and optimizing managed cloud data platforms in AWS GovCloud or Azure.
  • Security Scanning Tooling: Experience embedding SAST/DAST tools and data-at-rest encryption practices into CI/CD pipelines.

Desired Qualifications:
  • Certifications such as AWS Certified Data Engineer, Databricks Certified Data Engineer, or CKA (Certified Kubernetes Administrator).
  • Experience implementing fine-grained access control (ABAC/RBAC) in classified environment databases.

Position Clearance Requirement:
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
Location: Chantilly/Herndon, VA.
Target Salary Range: $130,000.00 - $170,000.00 (Commensurate with specialized expertise and technical skillset).
Equal Opportunity Employer:
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.