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Intern Streaming Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Springfield, VA · 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 with Security Clearance

Arlington, VA · On-site

$131K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Mclean, VA · Remote

$142K - $190K/yr

Overview The Data Engineer builds and maintains the source adapters and normalization logic that ... Produce and consume streaming events (e.g., Kafka topics) to support near-real-time signal delivery ...

Data Engineer III with Security Clearance

Rosslyn, VA · On-site

$130K - $157K/yr

Design, build, and maintain batch and streaming data pipelines using modern data engineering tools and frameworks * Develop and optimize data models, data integration processes, and transformation ...

Data Engineer

Chantilly, VA · On-site

$150K - $250K/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 ...

Data Engineer

Chantilly, VA · On-site

$150K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Senior Data Engineer ID71671

Richmond, VA · On-site

$104K - $142K/yr

Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into ... Apply modern software engineering standards-including design patterns, automated unit/integration ...

New

Senior Data Engineer ID71671

Blacksburg, VA · On-site +1

$93K - $126K/yr

Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into ... Apply modern software engineering standards--including design patterns, automated unit/integration ...

Senior Data Engineer ID71671

Richmond, VA · On-site +1

$104K - $142K/yr

Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into ... Apply modern software engineering standards--including design patterns, automated unit/integration ...

Senior Data Engineer ID71671

Richmond, VA · On-site

$103K - $141K/yr

Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into ... Apply modern software engineering standards-including design patterns, automated unit/integration ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience building and maintaining data pipelines using processing/streaming frameworks (e.g ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience building and maintaining data pipelines using processing/streaming frameworks (e.g ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Experience building and maintaining data pipelines using processing/streaming frameworks (e.g ...

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Experience with open-source streaming data processing tools like Apache Kafka or Structured Streaming. * Familiarity with open-source data quality and analytics engineering tools such as dbt (data ...

Big Data Engineer/Cloud Data Engineer

Richmond, VA · On-site

$55.25 - $73/hr

Big Data Engineer/Cloud Data Engineer in Richmond, VA Qualifications * 9+ years of experience in ... Spark Streaming - 1+ years * AWS - 2+ years * Java - 6+ years Additional Information All your ...

Showing results 41-60

Intern Streaming Data Engineer information

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 the most commonly searched types of Streaming Data Engineer jobs in Virginia?

The most popular types of Streaming Data Engineer jobs in Virginia are:

What job categories do people searching Intern Streaming Data Engineer jobs in Virginia look for?

The top searched job categories for Intern Streaming Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Intern Streaming Data Engineer jobs?

Cities in Virginia with the most Intern Streaming Data Engineer job openings:

Infographic showing various Intern Streaming Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

M9 Solutions

Springfield, VA • On-site

$60K - $180K/yr

Full-time

Re-posted 20 days ago


Job description

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.
M9 Solutions is seeking a Data Engineer to work onsite in support of a government contract for a client located in Springfield, VA. An active TS/SCI clearance is required.
Responsibilities
  • Data Ingestion & Acquisition: Collect and integrate data from a wide variety of structured and unstructured sources, including APIs, RDBMS, file systems, third-party services, and real-time streams.
  • Pipeline Development: Design and implement scalable ETL/ELT pipelines to clean, enrich, normalize, and semantically align data (ontology-driven transformations).
  • Cloud Deployment: Build and deploy data pipelines and associated infrastructure on AWS or Azure, using managed services like Lambda, Glue, Step Functions, Azure Data Factory, etc.
  • Database Architecture: Understand and optimize for different storage engines-relational (PostgreSQL, MySQL), columnar (Redshift, BigQuery), indexing engines (ElasticSearch), key-value stores (DynamoDB, Redis), Object stores (S3 or similar), and caching layers.
  • Streaming Data Processing: Work with Apache Kafka (or similar platforms) to handle high-volume, low-latency data streams.
  • Workflow Orchestration: Utilize Apache Airflow (or equivalent) to schedule and monitor complex data workflows.
  • AI/ML Integration: Collaborate with data scientists to integrate LLMs and ML models into pipelines for inference, tagging, enrichment, or intelligent routing of data.

Required Skills and Qualifications
  • Active TS/SCI security clearance.
  • Bachelor's or master's degree in computer science, engineering, or related field.
  • 10+ years of experience in data engineering or software development roles.
  • Strong proficiency in Python, including experience with libraries like pandas, PySpark, FastAPI, or similar.
  • Solid experience with cloud services (AWS or Azure) and Cloud native data engineering tools.
  • Proven experience in building and maintaining data pipelines using Kafka, Airflow, and other open-source frameworks.
  • Strong grasp of database internals and trade-offs between different storage technologies.
  • Familiarity with data governance, lineage, and metadata management concepts.
  • Experience or strong interest in integrating LLMs and AI/ML models into production-grade data systems.

Preferred Skills and Qualifications
  • Knowledge of data cataloging tools and semantic layer design.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with MLOps tools or platforms (e.g., SageMaker, MLflow).

Full-Time Employee Compensation
  • M9 Solutions' pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the position, education, experience, knowledge, skills, abilities, as well as internal equity, location, alignment with market data, applicable bargaining agreement (if any), or other law.
  • M9 Benefits - https://m9solutions.com/why-join-m9/#our-benefits

Salary Range
$60,000-$180,000 USD
M9 Solutions, LLC (M9) is a Federal sub-contractor and we comply with all applicable federal laws prohibiting discrimination in employment, including Title VII of the Civil Rights Act of 1964. We also adhere to the affirmative action requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Section 503 of the Rehabilitation Act, ensuring equal opportunity for veterans and individuals with disabilities. Please click here to complete M9's Voluntary Self-Identification Form and then email it to hr@m9solutions.com. If you need accommodation during the application process or encounter difficulties using our website, please contact our Human Resources Department at hr@m9solutions.com or 703-936-0880
M9 Solutions is a proud participant in the Virginia Values Veterans (V3) program and supports the Military Medics and Corpsmen (MMAC) initiative, demonstrating our commitment to hiring and supporting veterans, transitioning service members, military spouses, and dependents.
With 15+ years of proven delivery and growth, M9 Solutions is a unique small business with credible past performance and key capabilities offering project management services, solution architects, business analysts, program managers, technical architects, and technical consultants. M9 was recognized as an Inc. 5000 Fastest-Growing Private Companies in 2021, 2020, 2019, 2018, 2017, 2016, and 2012. M9 Solutions believes that work should be fun, rewarding, and something everyone can be excited about. We offer a competitive compensation package and value diverse perspectives in driving the vision of the company.