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Intern Streaming Data Engineer Jobs (NOW HIRING)

Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for * 4+ years of ...

Senior Data Engineer

Jersey City, NJ · On-site

$116K - $157K/yr

Effectual is seeking a Senior Data Engineer with specialized expertise in data streaming technologies to join their data team. This role focuses on building and maintaining high-performance data ...

New

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

You'll leverage your expertise in data engineering, streaming technologies, and leadership to drive the team towards achieving business objectives. Key Responsibilities: * Team Leadership: Lead ...

This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ...

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Experience with batch and streaming data processing. * Understanding of IAM, data security, and compliance requirements. Preferred Qualifications: * GCP Professional Data Engineer or Associate Cloud ...

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

Mission This role is focused on building real time streaming data solutions that enable data-driven decisions on live devices and telemetry data. While the Senior Data Engineer will support batch ...

Senior Data Engineer

Philadelphia, PA · Remote

$107K - $145K/yr

Mission This role is focused on building real time streaming data solutions that enable data-driven decisions on live devices and telemetry data. While the Senior Data Engineer will support batch ...

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

Mission This role is focused on building real time streaming data solutions that enable data-driven decisions on live devices and telemetry data. While the Senior Data Engineer will support batch ...

Databricks Data Engineer

Marlborough, NH · On-site

$113K - $136K/yr

This role is for a Databricks Data Engineer with experience in designing, developing, and deploying robust, scalable batch and streaming data pipelines using PySpark, Spark SQL, and Delta Live Tables.

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The ideal candidate will bring strong expertise in Java-based data systems , batch and streaming ... Key Responsibilities Data Engineering & Pipeline Development * Design, develop, and maintain ...

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 ...

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 ...

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 ...

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

Role : GCP Data Engineer (W2 Position) Location : Dearborn, MI (Hybrid) Duration: 12+ Months ... Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub * Microservices architecture to ...

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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 Jun 17, 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 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 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.
More about Intern Streaming Data Engineer jobs
What cities are hiring for Intern Streaming Data Engineer jobs? Cities with the most Intern Streaming Data Engineer job openings:
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
What states have the most Intern Streaming Data Engineer jobs? States with the most job openings for Intern Streaming Data Engineer jobs include:
What job categories do people searching Intern Streaming Data Engineer jobs look for? The top searched job categories for Intern Streaming Data Engineer jobs are:
Infographic showing various Intern Streaming Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Staff Software Engineer - Streaming Data

ATOMS Careers page

Seattle, WA

$167K - $230K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 

What you'll do

  • Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery.
  • Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines.
  • Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance.
  • Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests.
  • Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics.

What we're looking for

  • 10+ years of domain experience.
  • Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.)
  • Bachelor's degree in Computer Science, Engineering, or a related field (or relevant practical experience).
  • Experience in programming languages (Java, Python, or Scala) and their application in distributed computing systems.
  • Experience with SQL and relational data modeling concepts.
  • Strong problem-solving skills with a collaborative, proactive attitude.
  • Good communication skills; ability to explain technical concepts to team members.

Why join us 

  • Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
  • Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. 
  • Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.

What else you need to know 

This role is based in our Seattle office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. 

The base salary range for this role is $167,000 - $230,000 

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

  • Medical, dental, and vision insurance (multiple plans, incl. HSA options).
  • Company-paid life and disability insurance (short- and long-term).
  • Voluntary insurance: accident, critical illness, hospital indemnity.
  • Optional supplemental life insurance for self, spouse, and children.
  • Pet insurance discount.
  • 401(k).
  • Time Off policies:
    • Discretionary vacation days
    • 8 paid holidays per year
    • Paid sick time
    • Paid Bereavement leave
    • Paid Parental Leave
    • Health Savings Account (HSA)
    • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Benefits are subject to change at the company's discretion.
    CSS accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

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