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Airflow Internship Jobs (NOW HIRING)

BTree Solutions, Inc.

JAVA FULLSTACK DEVELOPER

Mclean, VA · On-site

$53.50 - $69/hr

Airflow / workflow orchestration * PCI / CAT1 data handling * Kafka / event-driven architecture ... At least 4 years of professional software engineering experience (Internship experience does not ...

LiquidStack

Thermal Engineer (R&D)

Carrollton, TX

... including internships or co-op experience) * Foundational knowledge of: * Heat transfer and thermodynamics * Fluid mechanics and airflow principles * Thermal cycles (e.g., sensible cooling ...

BrainPOP

Data AI Co Op / Internship

New York, NY · On-site +1

$25/hr

In this co-op/internship, you'll learn about empowering analytics with AI - a full stack experience ... Our data stack consists of modern data tools like Snowflake, dbt, Airflow, AWS along with Streamlit ...

BrainPOP

Data AI Co Op / Internship

New York, NY

$25/hr

In this co-op/internship, you'll learn about empowering analytics with AI - a full stack experience ... Our data stack consists of modern data tools like Snowflake, dbt, Airflow, AWS along with Streamlit ...

Consertus, Inc.

Junior Integration Developer

San Juan, PR

$65K - $85K/yr

Support the design, implementation, and monitoring of ETL workflows using tools such as Airflow ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Centra Health

Pharmacist (PRN, LGH)

Lynchburg, VA · On-site

$56.77 - $85.16/hr

Manufactures products using various equipment such as a laminar airflow hood, biological safety ... pharmacy interns in a ratio not to exceed that defined by the Virginia Board of Pharmacy. • ...

New

Vise

Senior Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

Required : • 5+ years of software development experience outside of education and internships • ... Airflow or an equivalent pipeline management system. Company : Vise is an AI-driven investment ...

Octaura

Intern, Data Engineering

New York, NY

The Opportunity Octaura offers exciting summer internship opportunities, especially for those ... Common technology that you will use includes Python, Spark, Redshift, Apache Airflow, Terraform and ...

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Airflow Internship information

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How much do airflow internship jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for airflow internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Airflow Internship vs Data Engineer Internship?

AspectAirflow InternshipData Engineer Internship
Required SkillsKnowledge of Apache Airflow, Python, ETL workflowsProgramming (Python, SQL), data modeling, ETL pipelines
Work EnvironmentData teams, cloud platforms, automation projectsData infrastructure, database management, big data tools
Industry UsageData pipeline automation, workflow orchestrationData storage, processing, and analysis

Both internships involve working with data technologies, but an Airflow Internship focuses specifically on workflow orchestration using Apache Airflow, while a Data Engineer Internship covers broader data infrastructure and pipeline development. Candidates should have some programming and data skills, with the choice depending on their interest in automation versus data architecture.

What are the key skills and qualifications needed to thrive as an Airflow Intern, and why are they important?

To thrive as an Airflow Intern, you generally need a foundational understanding of Python programming, data engineering concepts, and familiarity with workflow orchestration principles. Experience or coursework with Apache Airflow, SQL, and cloud platforms like AWS or GCP is often expected, along with version control tools such as Git. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and quickly learn in dynamic technical environments. These competencies are crucial for efficiently automating data pipelines and supporting the seamless flow of information within data-driven teams.

What is an Airflow internship?

An Airflow internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with Apache Airflow, an open-source platform used to programmatically author, schedule, and monitor data workflows. Interns typically assist with building, managing, and optimizing data pipelines, learning how to orchestrate complex data processes in real-world environments. The internship helps develop technical skills in Python, workflow management, and cloud services, preparing individuals for data engineering or related roles. It is usually offered by companies with significant data processing needs, such as tech firms, financial institutions, or consulting companies.

What types of projects do Airflow interns typically work on, and how does this experience contribute to their professional development?

Airflow interns often work on real-world data pipeline projects, such as automating data extraction, transformation, and loading (ETL) processes or optimizing workflow scheduling for business analytics. These projects provide hands-on experience with Apache Airflow, Python programming, and cloud-based data tools, allowing interns to build practical skills in data engineering. Collaboration is common, as interns usually work alongside data engineers and analysts, gaining insight into team-based problem-solving and best practices. This experience not only strengthens technical expertise but also prepares interns for future roles in data engineering or DevOps.
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Airflow Internship jobs near you
Infographic showing various Airflow Internship job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Data Engineering Internship (Summer 2027)

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

$122K - $146K/yr

Full-time

Posted 3 days ago

Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

Apply