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Internship Data Pipeline Jobs (NOW HIRING)

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Internship, academic project, or professional experience in data engineering, analytics engineering, business analytics, or data pipeline development. * Strong SQL skills with experience querying ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

... internships. Candidates should demonstrate the ability to contribute to thedevelopment and maintenance of data pipelines in a professional setting. Preferred Experience: * Experience designing and ...

Northmarq

Internship Pipeline

Baltimore, MD · On-site

... talent pipeline!** Internship Experience: If you thrive in a fast-paced, client-focused team ... economic data to create investment narratives for debt and equity evaluations? What Does Our ...

Northmarq

Internship Pipeline

Minneapolis, MN

... talent pipeline!** Internship Experience: If you thrive in a fast-paced, client-focused team ... economic data to create investment narratives for debt and equity evaluations? What Does Our ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

Audubon Companies

Pipeline Mapper

Tulsa, OK

Support data entry, drawing plotting, and digital packaging of deliverables for clients and ... internships or academic projects acceptable). * Basic knowledge of AutoCAD (Civil 3D a plus ...

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How much do internship data pipeline jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship data pipeline in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Pipeline Intern?

As a Data Pipeline Intern, you can expect to assist with designing, building, and maintaining the flow of data between systems. Your daily tasks may include cleaning and transforming raw data, automating data collection processes, and supporting the integration of new data sources. You’ll often collaborate with data engineers, analysts, and software developers to ensure reliable and scalable data pipelines. These hands-on projects provide valuable experience with tools such as SQL, Python, and cloud-based data platforms, and can serve as a strong foundation for a future career in data engineering or analytics.

What are the key skills and qualifications needed to thrive as an Internship Data Pipeline, and why are they important?

To thrive in an Internship Data Pipeline role, you need foundational skills in programming (such as Python or SQL), data analysis, and a background in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Google Cloud, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in collaborative and technical environments. These skills are crucial for ensuring accurate data processing, smooth collaboration with teams, and successful project outcomes.

What is an Internship Data Pipeline?

An Internship Data Pipeline typically refers to a structured process or set of tools used by interns to collect, process, and manage data from various sources. In a technical role, this often involves learning to build systems that automate data extraction, transformation, and loading (ETL) tasks. Interns may work with programming languages like Python or SQL and use cloud platforms or data engineering tools to help prepare data for analysis. This experience provides valuable hands-on skills in data management and engineering.
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Internship Data Pipeline jobs near you
Infographic showing various Internship Data Pipeline job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Internship - Data Management

Internship - Data Management

QuEra Computing, Inc.

Boston, MA • On-site

Internship

Re-posted 9 days ago

Job description

About QuEra Computing, Inc.
QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.
Summary
The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows. You'll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers.
Responsibilities
  • AI-powered Data Infrastructure: Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows.
  • Automation and Tooling: Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources.
  • Performance Analysis Pipelines: Build analysis pipelines to extract key device performance metrics (e.g., insertion loss, extinction ratio, bandwidth, yield). Analyze fabrication metrology datasets from multiple foundries and correlate findings with device performance to identify process-performance relationships.
  • Cross-functional Collaboration: Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows.
  • Documentation: Document data infrastructure and analysis workflows for long-term team use.

Qualifications
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or a related discipline.
  • Strong proficiency in Python programming, with hands-on experience using AI and data science libraries including PyTorch, NumPy, SciPy, and Pandas, and familiarity with workflow automation tools.
  • Working knowledge of data storage formats, database design principles, and data analysis and visualization frameworks.
  • Proven track record of leveraging Python and AI tools to tackle challenging problems in science and physics.
  • Strong analytical mindset with exceptional problem-solving capabilities.
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
  • Clear evidence of self-motivation and the ability to drive independent projects to completion.
  • While a deep background in quantum physics is not a prerequisite, a solid understanding of computer science and mathematics in the context of physical simulation and experimental analysis is required.

On-site internship. There is no relocation offered for this role.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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