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Internship Data Pipeline Jobs (NOW HIRING)

ClimateAi

Data Engineer I

San Francisco, CA · On-site

$115K - $145K/yr

Internship, co-op, or open-source experience writing data pipelines in production-like environments * Coursework or projects in distributed systems, machine learning, or climate/environmental science

Universal Music Group

Data Engineer Co-Op

New York, NY · On-site +1

$30 - $35/hr

Additionally, you'll work with technical and business stakeholders to design new data pipelines on ... Internships Salary Range: $30-$35 per hour The actual base salary offered depends on a variety of ...

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 ...

Audubon Companies

Pipeline Mapper

Tulsa, OK · On-site

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 ...

Geico

Engineer II - Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Build pipeline definitions and apply strong technical judgment to choose and implement ... Experience: * 2+years of non-internship professional experience in data engineering, software ...

Everlaw

GTM Data Analyst Intern

Oakland, CA · On-site

$31 - $44/hr

This internship is designed as a hands-on, high-ownership experience centered around building new ... Data Pipeline Review & Gap Analysis: Review upstream data pipelines to understand how data flows ...

ECS

Junior Data Engineer

Fairfax, VA · On-site

... Data Platform data pipelines, contributing to the platform's mission of delivering reliable ... Prior internship, academic project, or professional experience supporting data engineering or ...

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Internship Data Pipeline information

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How much do internship data pipeline jobs pay per hour?

As of Jun 9, 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 June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Engineer I

Data Engineer I

ClimateAi

San Francisco, CA • On-site

$115K - $145K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 26 days ago

Job description

At ClimateAi, we choose to act.
We believe resilience is just as urgent as mitigation. We are building technology to empower people and industries to make smarter, faster decisions in the face of weather volatility.
Our mission is to climate-proof the global economy, with the goal of achieving zero loss of lives, livelihoods, and nature. From farmers and supply chain managers to risk analysts and policymakers, our users depend on ClimateAi's forecasts and insights to prepare for what's coming and take action in time.
In 2022, ClimateAi was recognized by TIME Magazine's Best Inventions, alongside innovators like OpenAI, for our breakthrough work in climate resilience technology.
What if your next position helped protect entire communities and safeguard the future of food, water, and livelihoods?
The Role
As a Data Engineer I at ClimateAi, you will be a hands-on contributor on the team that powers our climate models, forecasts, and customer-facing products. You'll build and maintain the pipelines that turn raw climate, weather, and agronomic data into trusted, reliable datasets used every day by Data Science, ML Engineering, and Product.
This is an early-career role designed for a strong CS or Computer Engineering graduate who is excited to grow into a great data engineer. You'll work closely with senior engineers and a manager who is invested in your development - with regular code reviews, design feedback, and pairing on real production systems from day one.
Our hybrid work schedule includes 3 in-person days at one of our core locations (SF, Boston) and 2 remote days.
What You'll Do
  • Write production-grade Python and SQL to ingest, clean, and transform climate, weather, and agronomic datasets from a wide range of third-party sources
  • Build and maintain scalable pipelines that perform scheduled and event-driven data workflows, following existing patterns and conventions
  • Contribute to data integrations across AWS services and connect new data services end-to-end with guidance from senior engineers
  • Participate in design discussions, code reviews, and team planning
  • Write clear documentation for the pipelines, data sources, and dependencies you own
  • Ask great questions and share what you're learning!
What We're Looking For
  • B.S. in Computer Science, Computer Engineering, or a closely related field (recent graduates encouraged to apply)
  • Solid programming fundamentals in Python and working knowledge of SQL
  • Exposure to cloud services (AWS, GCP, or Azure) as demonstrated through coursework, internships, or personal projects
  • Understands core data types, formats (CSV, Parquet, JSON), and ingestion patterns
  • Strong problem-solving instincts: you debug methodically, read other people's code carefully, and ask for help when blocked
  • A growth mindset and openness to feedback. You treat code reviews and design feedback as opportunities to level up
Bonus Points
  • Internship, co-op, or open-source experience writing data pipelines in production-like environments
  • Coursework or projects in distributed systems, machine learning, or climate/environmental science
  • Exposure to data pipeline scheduling and orchestration tools, such as Apache Airflow, Dagster, Argo Workflows, or similar

We are open to Boston, MA or San Francisco, CA for this position and will require in person coworking time with other ClimateAi employees 3x/week.
Compensation
The base compensation range for employees based in the US is $115,000-145,000 and equity in line with experience and company stage. This salary range may be inclusive of several career levels at ClimateAi and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, business need and US location.
ClimateAi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
What We Offer You
  • Competitive salary and equity
  • Medical, dental, vision benefits
  • Learning budget per year
  • Unlimited PTO policy with minimum time off requirements
  • Flexible working hours on many teams
  • Culture of diversity and inclusion including employee resource groups
  • Work with smart, curious, passionate people and be part of the mission to help the world

Culture
At ClimateAi we are driven by a united passion to tackle climate change. We believe in a culture of trust and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal-opportunity employer. We hire people who are collaborative, adaptable, communicate well, and love to learn. Expect to give and receive constructive feedback, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team.

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