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Intern Streaming Data Engineer Jobs (NOW HIRING)

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location ... The ideal candidate will have strong expertise in building robust batch and streaming pipelines ...

Staffingine LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Be a part of a DevOps team that completely owns and supports their product Implement batch and streaming data pipelines using cloud technologies * Leads development of coding standards, best ...

Georgia IT, Inc.

NOSQL Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... with streaming/data messaging frameworks (e.g., Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming). • Proficiency in software engineering languages (Java, Python, or Scala). • Strong ...

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Build and optimize data ingestion frameworks for structured, semi-structured, and streaming data. * Collaborate with Data Scientists and AI Engineers to prepare, transform, and deliver high-quality ...

Dark Wolf Solutions

Data Engineer - Expert

Chantilly, VA · Hybrid

$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 ...

New

Dark Wolf Solutions

Data Engineer - Expert

Chantilly, VA · Hybrid

$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 ...

New

Medical Guardian

Principal Data Engineer

Philadelphia, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal Data Engineer will own the design, delivery, and maturity of production-grade data ... Real-Time Streaming, IoT Telemetry, and Operational Data Services * Lead the design and delivery of ...

Medical Guardian

Principal Data Engineer

Philadelphia, PA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal Data Engineer will own the design, delivery, and maturity of production-grade data ... Real-Time Streaming, IoT Telemetry, and Operational Data Services * Lead the design and delivery of ...

Medical Guardian

Principal Data Engineer

Philadelphia, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal Data Engineer will own the design, delivery, and maturity of production-grade data ... Real-Time Streaming, IoT Telemetry, and Operational Data Services * Lead the design and delivery of ...

Deloitte

Data Engineer III

Rosslyn, VA

$130K - $156K/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 ...

Medical Guardian

Principal Data Engineer

Philadelphia, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Principal Data Engineer will own the design, delivery, and maturity of production-grade data ... Real-Time Streaming, IoT Telemetry, and Operational Data Services * Lead the design and delivery of ...

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

1 point system

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 ...

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

Compunnel

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

You'll be joining a multidisciplinary MarTech organization spanning four connected work streams ... As a Data Engineer, you will partner with data science, architecture, MarTech engineering, and ...

Capital One

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

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Intern Streaming Data Engineer information

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

As of Aug 20, 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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Intern Streaming Data Engineer jobs near you
Infographic showing various Intern Streaming Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

GCP Data Engineer

Co-Sourcing Partners

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 17 days ago

Job description

Job Title: GCP Data Engineer
Duration: 6 months Contract to hire
Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S.
Role Overview
We are seeking a highly skilled GCP Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in building robust batch and streaming pipelines, implementing modern data architectures, and enabling reliable, high-quality data platforms for analytics, reporting, and machine learning use cases.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCPnative services.
  • Develop and maintain data ingestion frameworks leveraging tools such as Pub/Sub, Dataflow, and Cloud Storage.
  • Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows.
  • Ensure efficient handling of large-scale structured and unstructured datasets. Data Modeling & Architecture
  • Design and implement high-performance data models for cloud-based data lakes, data warehouses, and analytics platforms.
  • Optimize data schemas and partitioning strategies in BigQuery for performance and cost efficiency.
  • Support modern architectures such as medallion (bronze/silver/gold) layers and lakehouse patterns.

Development & Coding
  • Write advanced SQL queries for transformation, validation, and analytics.
  • Develop scalable data processing logic using Python and/or Apache Beam.
  • Build reusable, modular, and maintainable code for data workflows.

Data Quality, Observability & Reliability
  • Implement and maintain data quality checks, validation rules, and anomaly detection frameworks.
  • Enable data observability through monitoring, logging, and alerting mechanisms.
  • Ensure highly reliable data pipelines with fault tolerance and error handling strategies.

ETL/ELT Modernization
  • Support migration and modernization efforts from legacy ETL tools (e.g., Talend) to GCP-native ELT frameworks (dbt).
  • Optimize existing pipelines for performance, scalability, and maintainability in cloud environments.
  • Drive adoption of ELT best practices using BigQuery as the compute engine.

Collaboration & Stakeholder Engagement
  • Collaborate with data architects, business analysts, and machine learning teams to deliver trusted datasets.
  • Translate business requirements into scalable data solutions.
  • Provide technical guidance and support for downstream analytics and reporting use cases.

Best Practices & Governance
  • Drive adoption of best practices in cloud data engineering, CI/CD, and DevOps.
  • Implement secure data access controls using IAM roles, policies, and governance frameworks.
  • Follow standards for code quality, version control (Git), and automated deployments.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in data engineering or data platform development.
  • Hands-on experience with Google Cloud Platform (GCP) services:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Storage
  • Strong proficiency in SQL and Python.
  • Experience with dbt (Data Build Tool) or similar ELT frameworks.
  • Experience building batch and streaming data pipelines.

Preferred Skills
  • Experience with Apache Beam or Spark.
  • Familiarity with Talend or other ETL tools and migration to cloud-native solutions.
  • Knowledge of data lakehouse architectures and modern data stack.
  • Experience with CI/CD tools (e.g., GitHub Actions, Cloud Build, Jenkins).
  • Understanding of data security, governance, and compliance standards.
  • Exposure to machine learning data pipelines and feature engineering.

Key Competencies
  • Strong problem-solving and analytical skills
  • Ability to work in cross-functional teams
  • Excellent communication and documentation skills
  • Focus on performance optimization and scalability
  • Attention to data quality and reliability

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