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Intern Streaming Data Engineer Jobs (NOW HIRING)

Data Engineer - Expert

Herndon, VA · On-site

$165K - $200K/yr

Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts ... Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform ...

Data Engineer - Expert

Herndon, VA · On-site

$165K - $200K/yr

Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts ... Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining ... Experience with streaming data pipelines. * Experience supporting enterprise data governance. This ...

Databricks Data Engineer

$117K - $140K/yr

Required : • Cloud Platform - GCP preferred!! but Azure, AWS are okay. • ETL, ELT, Data Streaming, Data Sharing • Strong data engineering background • Python preferred or Scala • Retail ...

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 ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Leverage modern data engineering practices and frameworks with an object-oriented approach to ... event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure ...

Data Engineer

Richmond, VA · On-site

$100K - $120K/yr

Design and implement scalable streaming pipelines to process real-time data. * Lead performance ... Data Engineer Richmond, VA 23219 (hybrid) Pay: $100,000-120,000 Role Summary The Senior Data ...

This is a highly visible technical leadership opportunity where you'll drive the architecture and modernization of next-generation streaming data platforms while mentoring engineers and influencing ...

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive ... Hands-on experience with Apache Flink for real-time stream processing and event-driven data ...

Showing results 41-60

Intern Streaming Data Engineer information

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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 the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 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.

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Infographic showing various Intern Streaming Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Data Engineer - Expert

Herndon, VA • On-site

Dark Wolf Solutions
IT Services • 51 - 200 employees

$165K - $200K/yr

Full-time, Contractor

Posted 21 days ago


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 an Expert Data Engineer to lead the architectural development, scaling, and governance of enterprise-grade data platforms. You will be responsible for designing high-throughput data meshes, establishing automated data quality frameworks, optimizing distributed compute clusters, and ensuring high resilience across air-gapped and multi-cloud networks.
Key Responsibilities
  • Lead the architectural design and implementation of distributed, high-throughput batch and streaming data platforms.
  • Optimize distributed execution engines (Spark, Trino/Presto) to handle petabyte-scale datasets under strict SLAs.
  • Implement Infrastructure as Code (IaC) to provision data platform assets across multi-cloud infrastructure.
  • Establish zero-trust security controls, data lineage tools, and automated compliance scanning for regulated data environments.
  • Act as a Technical Pod Lead, driving Agile sprint deliverables, establishing technical standards, and mentoring data engineering staff.

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: 7-10+ years of data engineering experience.

Technical Competencies:
  • Data Processing Frameworks: Expert-level mastery of Apache Spark, Flink, Kafka, Ray, and workflow orchestration engines.
  • Database Systems: Deep understanding of distributed systems internals, LSM trees, column-family stores, and lakehouse storage formats (Delta Lake, Apache Iceberg, Apache Hudi).
  • Data Modeling: Enterprise data strategy, conceptual-to-physical data modeling, and streaming data schema contracts.
  • Programming & Scripting: Mastery of Python, Scala, SQL, and Go for high-performance data platform development.
  • Containerization: Advanced Kubernetes cluster management, custom operators for data platforms, and service mesh integration.
  • Agile Frameworks: Proven experience acting as a Technical Lead or Scrum Master directing engineering pods.
  • Multi-Cloud Architecture: Advanced experience architecting multi-cloud and hybrid cloud data platform solutions (IaC via Terraform).
  • Security Scanning Tooling: Deep understanding of DevSecOps pipelines, automated compliance testing, and secret rotation management.

Desired Qualifications:
  • Advanced Certifications: AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer.
  • Proven track record architecting data solutions for deployment in air-gapped or high-assurance defense networks.

Position Clearance Requirement:
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
Location: Chantilly/Herndon, VA.
Target Salary Range: $165,000.00 - $200,000.00 (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.