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Airflow Internship Jobs (NOW HIRING)

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow) * Experience ...

Pangram

Machine Learning Engineer (Junior)

Manhattan, NY · On-site

$90 - $130/hr

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow) * Experience ...

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$109K - $131K/yr

You'll write production Python from day one, orchestrate real workflows with tools like Airflow and ... Practical software development experience gained through a degree, bootcamp, internships, personal ...

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

You'll write production Python from day one, orchestrate real workflows with tools like Airflow and ... Practical software development experience gained through a degree, bootcamp, internships, personal ...

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 ...

FieldAI

$73 - $94/hr

Mechanical Systems Internship Role: As a Mechanical Engineer Intern on the Hardware Team at Field ... Incorporate thermal mitigation strategies such as fans, heat sinks, conductive paths, and airflow ...

New

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$85 - $110/hr

You'll write production Python from day one, orchestrate real workflows with tools like Airflow and ... Practical software development experience gained through a degree, bootcamp, internships, personal ...

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 ...

Astronomer

Software Engineer - Applications

Manhattan, NY · On-site

$144 - $160/hr

... Airflow easier to use, monitor, and manage. The team owns the problems that make Astro a great ... internship/coursework for Software Engineer I). * Working knowledge of at least one backend ...

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 ...

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How much do airflow internship jobs pay per hour?

As of Sep 4, 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 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.

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 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.

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Airflow Internship jobs near you
Infographic showing various Airflow Internship job openings in the United States as of August 2026, with employment types broken down into 15% Internship, 54% Full Time, and 31% Part Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Machine Learning Engineer (Junior)

Pangram

New York, NY • On-site

$135K - $150K/yr

Full-time

Posted 17 days ago

Job description

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments.
At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is an in-person role in our office in Downtown Brooklyn, NYC.
Responsibilities:
  • Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models
  • Manage distributed infrastructure for multi-GPU LLM training
  • Profiling and optimizing training and inference code
  • Deploy efficient inference pipelines for serving LLMs at scale

Requirements:
  • B.S. or M.S. in Computer Science or related areas
  • Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting side projects
  • Strong programming skills in Python and modern ML frameworks
  • Excellent understanding of transformers and LLM fundamentals
  • Comfort working across research and engineering boundaries

Nice to have
  • Experience with NVIDIA GPU programming and CUDA
  • Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray
  • Experience with inference frameworks like vLLM
  • Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow)
  • Experience with MLOps and experiment tracking
  • Experience with DevOps tools
  • Familiarity with cloud-based infrastructure (AWS/GCP)

Apply