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Internship Data Pipeline Engineer Jobs (NOW HIRING)

Adapt Talent

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Pipeline Engineer ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies.

Guidehouse

OR · On-site

Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: This role serves as a senior technical leader responsible ...

IGNITE

AI PIPELINE ENGINEER

Huntsville, AL · On-site

Job Title AI PIPELINE ENGINEER Location Huntsville, AL 35806 US (Primary) Category Engineering Job ... data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUI ...

EXP

Senior Pipeline Engineer

Houston, TX · On-site

$99K - $137K/yr

Be our next Senior Pipeline Engineer! Your work environment at EXP In this role, you will be a part ... Will provide direction to junior/intermediate engineers to complete data analysis, drawing and ...

Kleinfelder Inc

Pipeline Project Engineer

Dublin, OH · Hybrid

The Pipeline Project Engineer develops and applies broad knowledge and skills in various natural ... Acquire and analyze data using appropriate standard quantitative methods * Gas system network and ...

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Internship Data Pipeline Engineer information

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How much do internship data pipeline engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship data pipeline 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 Internship Data Pipeline Engineer vs Data Engineer?

AspectInternship Data Pipeline EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of relevant degree programs, basic understanding of data pipelinesBachelor's or higher in Computer Science, Data Science, or related fields; experience with data tools
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time professional role, responsible for designing and maintaining data infrastructure
Employer & Industry UsageInternship positions in tech, finance, healthcare, and other industriesFull-time roles across various industries requiring data management expertise

The main difference between an Internship Data Pipeline Engineer and a Data Engineer lies in experience level and responsibilities. Internships are entry-level, focused on learning and supporting data pipeline tasks, while Data Engineers are experienced professionals responsible for building and maintaining complex data systems.

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Internship Data Pipeline Engineer jobs near you
Infographic showing various Internship Data Pipeline Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Data Engineer

Adapt Talent

San Francisco, CA • On-site

$134K - $162K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Pipeline Engineer

ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies. Dedicated to building global platforms of creation and interaction, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. For example, TikTok, Resso, Helo, Douyin, and Huoshan.

Our group is in charge of developing industrial, commercialized, enterprise-level solutions and products, to meet business requirements in various scenarios, such as Network Infrastructure Construction, System and Application Management, Large-scale Asset Management, Front-desk Service, Audio/Video Broadcasting Service, Server/Conference Room Intelligent Operation, Enterprise Administration, etc.

Taking advantage of cutting-edge big data and AI technologies, we are aiming at building a more automated and intelligent enterprise solution infrastructure.

Preferred location: Mountain View, CA / Los Angeles, CA / Seattle, WA

And, you are responsible for:

  • Design, construct, test and maintain robust, reliable, and scalable data pipeline infrastructure;
  • Investigate and integrate up-and-coming big data technologies into existing requirements;
  • Recommend different ways to constantly improve data reliability and quality;
  • Install/update system and component fault-tolerant procedures;
  • Employ an array of technological tools to integrate with 3rd-party data systems;
  • Collaborate team members (e.g., data architects, data scientists) on the project's goals.

Qualifications:

  • B.S. in Computer Science or equivalent experience, M.S./Ph. D. a plus.
  • Strong programming skills, master one or several mainstream programming languages, such as Java, Python, Go.
  • Familiar with streaming/batch data processing framework such as Kafka Streaming, Flink, Spark.
  • Familiar with big data open-source tools such as Kafka, ElasticSearch, Redis, Hbase, Druid etc.
  • Able to troubleshoot system-level integration and performance issues.
  • Fast learner and eager to absorb new emerging technologies, and enjoy working with other team members with strong collaboration and communication skills.
  • Experience with Cloud platforms such as GCP and AWS is a plus.
  • Experience with Docker & Kubernetes ecosystems is a plus.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We believe individuals shouldn't be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too.

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