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Airflow Internship Jobs (NOW HIRING)

Senior Software Engineer - VAULT

New York, NY · On-site

$134K - $176K/yr

We leverage distributed technologies (Kafka, Spark, Flink, Cassandra, Airflow, etc.) to deliver ... The Company does not provide benefits directly to contingent workers/contractors and interns.

Qualifications : Required : • 0-4 years of professional experience (or strong internships ... or Airflow, or strong eagerness to learn -- coursework and personal projects count. • Basic ...

We leverage distributed technologies (Kafka, Spark, Flink, Cassandra, Airflow, etc.) to deliver ... The Company does not provide benefits directly to contingent workers/contractors and interns.

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

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/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 ...

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/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 ...

Engineer II - Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

... Airflow workflows. Experience: * 2+ years of non-internship professional experience in data engineering, software engineering with a data focus, or equivalent. * 2+ years contributing to design and ...

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Airflow Internship information

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How much do airflow internship jobs pay per hour?

As of Jun 9, 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.
More about Airflow Internship jobs
What cities are hiring for Airflow Internship jobs? Cities with the most Airflow Internship job openings:
What are the most commonly searched types of Airflow jobs? The most popular types of Airflow jobs are:
What states have the most Airflow Internship jobs? States with the most job openings for Airflow Internship jobs include:
Infographic showing various Airflow Internship job openings in the United States as of May 2026, with employment types broken down into 21% Full Time, 75% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Internship - Data-Driven Estimation and Control for Spatiotemporal Dynamics

Internship - Data-Driven Estimation and Control for Spatiotemporal Dynamics

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Other

Medical

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


Job description

MERL is seeking an intern to work on data-driven estimation and control for spatiotemporal dynamical systems, with applications in indoor airflow optimization. The ideal candidate would be a PhD student in engineering, computer science, or related fields with a strong background in estimation, control, and dynamical systems theory. Preferred skills include knowledge of reinforcement learning, reduced-order modeling (ROM) and partial differential equations (PDEs). The intern will work closely with MERL researchers to develop novel algorithms, conduct numerical experiments, and prepare results for publication. The duration is expected to be at least 3 months with a flexible start date.

The pay range for this internship position will be 6-8K per month.


Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.