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Internship Data Pipeline Engineer Jobs (NOW HIRING)

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 ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client ...

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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 Jul 24, 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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What cities are hiring for Internship Data Pipeline Engineer jobs? Cities with the most Internship Data Pipeline Engineer job openings:
What are the most commonly searched types of Data Pipeline Engineer jobs? The most popular types of Data Pipeline Engineer jobs are:
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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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Machine Learning Engineer - Data Pipeline

Articul8 AI

Dublin, CA • On-site

$128K - $154K/yr

Full-time

Posted 8 days ago

Job description

Job Summary:
Articul8 AI is dedicated to creating exceptional AI products that exceed customer expectations. They are seeking machine learning engineers to build data pipelines for data collection, extraction, filtering, and analysis, while working closely with researchers and engineers to enhance domain-specific models.
Responsibilities:
• Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc.
• Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc.
• Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing.
• Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
• Develop and deploy highly scalable distributed systems capable of handling terrabytes of data.
• Architect and implement algorithms for data indexing and search capabilities.
• Build and maintain backend services for data storage, including work with key-value databases and synchronization.
• Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.
Qualifications:
Required:
• BS/MS/PhD in Computer Science or a related field.
• Proficiency in at least one deep learning framework, such as PyTorch.
• Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
• Strong expertise in large stateful distributed systems and data processing.
• Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
• Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
• Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.
Preferred:
• Active Github contributions are a big plus.
• Experience in building large-scale datasets.
• Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
• Building bespoke data processing libraries from scratch.
• Keeping up with state-of-the-art techniques for preparing AI training data.
• Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
• Multilingual which contributes to enriching the language diversity crucial for robust model training.
Company:
Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Founded in 2024, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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