1

Intern Streaming Data Engineer Jobs (NOW HIRING)

Sr. Data Engineer

$117K - $140K/yr

The ideal candidate brings expert experience in data engineering, cloud technologies, streaming data, and software development, along with a passion for building high-quality data pipelines ...

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 ...

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

GCP Data Engineer work Location: Irving, TX Duration: 8+ Months * Big data expert with 6+ years ... Spark - Batch & Streaming (Python,Scala ) * Apache Kafka hands on experience * Experience in cloud ...

Build and support streaming and data services for enterprise use, with experience beyond consuming ... Mentor senior engineers and technical leaders across the organization. * Evaluate and adopt ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

As a Data Engineer, you will collaborate with architects, product owners, data scientists, and ... Streaming & Real-Time Processing * Build and maintain high-throughput streaming data solutions ...

Databricks Data Engineer

$113K - $188K/yr

None Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client ... Develop and support batch and streaming data workflows, including ingestion, transformation ...

Databricks Data Engineer

$113K - $188K/yr

None Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client ... Develop and support batch and streaming data workflows, including ingestion, transformation ...

Data Engineer Journeyman

San Antonio, TX · On-site

$98K - $118K/yr

Leveraging modern batch and streaming frameworks, this role develops optimized data models ... The engineer troubleshoots pipeline issues, documents data architecture and pipelines, and ...

Data Engineer Journeyman

San Antonio, TX · On-site

$104K - $125K/yr

Leveraging modern batch and streaming frameworks, this role develops optimized data models ... The engineer troubleshoots pipeline issues, documents data architecture and pipelines, and ...

Data Engineer Journeyman

Fairfax, VA · On-site

$118K - $141K/yr

Leveraging modern batch and streaming frameworks, this role develops optimized data models ... The engineer troubleshoots pipeline issues, documents data architecture and pipelines, and ...

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

... engineering tasks ... Responsibilities : • Building, operating, and optimizing batch and/or streaming data pipelines ...

AWS Data Engineer(12+ Years)

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer AWS & Streaming Location: Fort Mill SC or New York, NY (2-3 Days Hybrid) Experience level 10- 15 Years Role Summary: We are seeking a Mid Senior Data Engineer with strong expertise in ...

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

Data Engineer - CTH Location: DFW, TX Duration: Contract to hire Rate: $38.00 - $45.00/HR Work ... Build and maintain batch and real-time/streaming data pipelines. * Develop data ingestion ...

Showing results 21-40

Intern Streaming Data Engineer information

See salary details

$13

$25

$38

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

As of Aug 19, 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.

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 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.

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

For decades, DTN has been the silent force behind some of the world's most critical industries-helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights-enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don't follow trends-we set the standard for precision, trust, and operational impact.

DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we're accelerating growth and expanding our global footprint. Our purpose-built solutions-powered by AI and honed by decades of vertical expertise-are helping some of the world's most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.

Job Description:

Job Description: DTN is seeking a results-driven Sr. Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across our enterprise platforms. This role plays a critical part in advancing DTN's modern batch and real-time streaming data architecture while enabling customers and internal stakeholders to leverage trusted, scalable, and secure data solutions.
The ideal candidate brings expert experience in data engineering, cloud technologies, streaming data, and software development, along with a passion for building high-quality data pipelines, improving processes, and supporting data-driven decision-making across the organization.
What You Will Be Responsible For
  • Deliver trusted data sets and services from complex data sources and environments to support DTN customers and internal stakeholders
  • Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions
  • Design, build, and maintain batch and real-time streaming data pipelines and ingestion processes that ensure data quality, reliability, and scalability
  • Architect and manage high-throughput event streaming solutions utilizing Apache Kafka and Amazon Kinesis
  • Support customer and partner data infrastructure needs by troubleshooting technical issues and optimizing data environments
  • Contribute to the continuous improvement of data management standards, practices, and architectural patterns
  • Document data engineering processes, standards, and best practices to promote adoption across teams
  • Ensure data governance, security, and compliance requirements are incorporated into solution delivery
  • Identify opportunities to automate processes, reduce complexity, and improve operational efficiency through innovative data solutions
  • Develop reference architectures, standards, and documentation to support consistent approaches to data acquisition, transformation, storage, and analytics consumption
What You Will Bring to the Position
  • 7+ years of data engineering experience with batch and streaming pipelines, data ingestion, ETL/ELT processes, or 2+ years of software engineering experience
  • Proven experience designing and implementing streaming data architectures, message brokering, and real-time event processing using Apache Kafka and AWS Kinesis
  • 4+ years of cloud experience, preferably across multiple cloud platforms
  • Strong programming skills in Python or other modern development languages such as Java or Go
  • Experience with ETL processes, SQL development, and data transformation workflows
  • Experience working with relational databases such as Oracle, PostgreSQL, or MySQL
  • Experience with AWS cloud services and cloud-based data platforms such as Snowflake or AWS-native solutions
  • Ability to design solutions that support data transformation, governance, workload management, and complex data structures
  • Experience with cloud architectures, highly available systems, and scalable solutions
  • Familiarity with Agile development methodologies and CI/CD practices
  • Experience with Docker and Kubernetes environments
  • Bachelor's degree in Computer Science or equivalent experience
What Will Make You Stand Out
  • Experience with stream processing frameworks such as Apache Flink or Spark Streaming
  • Experience with front-end technologies such as React, Angular, or Vue
  • Experience developing RESTful APIs using Node.js or Python
  • Experience consuming REST and GraphQL APIs
  • Strong understanding of source control and versioning practices using Git
  • Experience supporting enterprise data and analytics platforms in cloud-native environments

What You Can Expect from DTN

  • Competitive Salary
  • Unlimited PTO
  • Flexible working hours
  • Remote work model (position dependent)
  • Competitive Medical, Dental and Vision Insurance Plans
  • 6% 401K matching
  • Unlimited access to 13k+ courses via learning platform to support employee career advancement
  • Employee Assistance Program (EAP)

Compensation

The targeted hiring base pay range for this position is between $109,400 and $145,800. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.

#LI-REMOTE

#LI-DY1

About DTN:

DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights-empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.

At DTN, we value clarity, trust, and action. We're a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters - and that mission is at the core of what we do.

  • Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable.

  • Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.

  • Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.

  • Future-Forward: We see what's coming- and we're ready. We help customers lead through change with smarter decisioning.

Recruitment Fraud Notice:

DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process.

If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers@dtn.com to verify the legitimacy of any communication.Report any fraudulent messaging as phishing or spam.

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.