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Intern Streaming Data Engineer Jobs in Springfield, VA

540

Data Engineer

Arlington, VA · 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 ...

540

Data Engineer

Arlington, VA · 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 ...

540

Data Engineer

Arlington, VA · 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 ...

The MITRE Corporation

Lead Data Engineer

Bedford, MA · On-site

$120K - $144K/yr

Develop batch and streaming data-processing solutions for structured, semi-structured, and ... support and for intern positions. This service is for individuals requiring reasonable ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/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. What You Must Have * Active TS/SCI with ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/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. What You Must Have * Active TS/SCI with ...

Shift5

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Design, build, and maintain robust, scalable batch and streaming data processing, storage, and ...

JANSON

Data Engineer (Engineer IV)

Fairfax, VA · On-site

$117K - $140K/yr

COMPANY is seeking a Data Engineer to join a cutting-edge initiative in support of the U.S ... Implement streaming data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming.

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All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in Springfield, VA

Intern Streaming Data Engineer information

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

As of Aug 18, 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:

Intern Streaming Data Engineer jobs near you
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.

Google Cloud Platform (GCP) Data Engineer

Accenture Federal Services

Arlington, VA

$131K - $158K/yr

Full-time

Posted 28 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

The work you'll do:

  • Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub).
  • Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization).
  • Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming).
  • Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP.
  • Develop scalable batch and real-time streaming data pipelines using Python, SQL, and Apache Beam.
  • Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements.
  • Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance.
  • Design and Implement CI/CD Pipelines: Architect and build robust, automated CI/CD pipelines to streamline the build, test, and deployment processes from development through to production environments

Here's what you'll need:

  • 3 to 5+ years of experience in data engineering, data warehousing, or big data processing.
  • 2+ years of hands-on experience building data pipelines and/or data solutions on Google Cloud Platform (BigQuery, Dataflow, Cloud Composer).
  • Strong programming skills in Python and advanced proficiency in SQL.
  • Experience with ETL/ELT concepts and tools.

Bonus points if you have:

  • Google Cloud Professional Data Engineer Certification.
  • Experience with migrating legacy relational databases (e.g., Oracle, SQL Server) to cloud-native databases (e.g., Cloud SQL, AlloyDB, Spanner).
  • Familiarity with federal data strategies, RMF, and Impact Level 4/5 (IL4/IL5) security and compliance standards.

Security clearance:

  • Active Top Secret (TS) security clearance is required.

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