Remote Apache Airflow developer jobs

We at Turing, are looking for remote Apache Airflow developers who will be responsible for orchestrating workflows/pipelines and implementing database management functions. Here's your chance to work with the best U.S. software companies.

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Job description

Job responsibilities

  • Perform and oversee data loading operations
  • Optimize data for extraction and reporting use
  • Manage complicated databases by performing suitable database management functions
  • Design and implement ETL jobs
  • Build, maintain, monitor, and orchestrate workflows or data pipelines
  • Ensure the high performance of data retrieval processes

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science or IT (or equivalent experience)
  • 3+ years of industry experience as an Apache Airflow developer (rare exceptions for highly skilled candidates)
  • Proficiency in Apache Airflow development
  • Expertise in Python and its frameworks
  • Strong understanding of data warehouse concepts and ETL tools (like Informatica, Pentaho, Apache Airflow)
  • Experience working in SQL environment and with reporting tools (like Power BI and Qlik)
  • Fluency in English to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Familiarity with Apache Hadoop, HDFS, Hive, etc.
  • Excellent troubleshooting and debugging skills
  • Ability to work independently as well as with multi-disciplinary teams
  • Working knowledge of agile processes and methods.

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How to become an Apache Airflow developer?

Apache Airflow is an open-source platform for authoring and executing workflows. It provides a completely automatic system to model, schedule, and monitor workflows.

It was developed to address the issues computer programmers faced when dealing with long-term "cron" tasks and substantial applications. But it has now grown into one of the most popular software platforms on the market.

Airflow is a platform for designing, scheduling, and monitoring data analytics workflows. A workflow is any sequence of tasks you perform to achieve an outcome. You can use Airflow to run a complex data pipeline in which related jobs are automatically executed in the correct order.

What is the scope of Apache Airflow development?

Apache Airflow enables users to develop complex workflows for data processing applications by integrating a variety of tools. Its Python-based platform allows for flexibility and robustness, while its user-friendly interface allows users to easily track jobs and configure the platform. Because Apache Airflow utilizes coding to define workflow processes, end-users are able to write their own code that will execute at specified steps in a particular process.

Apache Airflow has come a long way since it was first developed as an internal project within Airbnb. Businesses that want to accelerate the delivery of and improve the quality of service/products. To cater to enhanced operational excellence, a greater client experience, and other strategic objectives, they want to hire Apache Airflow developers.

What are the roles and responsibilities of an Apache Airflow developer?

Apache Airflow developers are responsible for: performing data loads, optimizing data for extraction and reporting use, designing and implementing ETL jobs, managing complicated databases by performing suitable database management functions, etc.
Apache Airflow developers monitor, report, and analyze usage trends and statistical output to manage quality control and high performance of the data retrieval from a database or other data storage. In addition, these developers ensure optimum capacity and application performance.

  • Execute and supervise data loading operations
  • Improve data extraction and reporting by optimizing data extraction and reporting.
  • Manage large databases by performing appropriate database management functions.
  • Develop and deploy ETL jobs
  • Create, manage, and configure workflows or data pipelines.
  • Ensure that data retrieval processes perform well.

How to become an Apache Airflow developer?

Let us now look at how to pursue a career in the field of Apache Airflow Development. No formal educational requirements exist for becoming an Apache Airflow developer. To become an Apache Airflow developer, one must master Apache Airflow development. Regardless of whether you are a graduate or non-graduate, experienced or inexperienced, you can learn the skills needed to become an Apache Airflow developer. You can create a profession in it by possessing practical experience and expertise in relevant technical and non-technical skills.

However, it is important to note that you do not necessarily need a bachelor's or master's degree in computer science or a similar discipline to become a remote Apache Airflow developer. First, having a relevant academic background allows you to better understand computer programming and web development. Second, many firms require candidates to have a specific degree when hiring Apache Airflow developers, making it easier for you to get some rewarding work chances.

Now, let's look at the skills and methods you require in order to become a successful Apache Airflow developer:

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Skills required to become an Apache Airflow developer

To land high-paying Apache Airflow developer jobs, have good foundation skills. Here is what you need to know.

1. DBMS

A database management system (DBMS) is a software or hardware tool that allows users to create, read, update, delete, and retrieve data in databases. This form of management also assures the security and integrity of the data. A DBMS manages not only the database engine and the database schema but also helps provide concurrency and uniform administration procedures.

2. Apache Hadoop

Apache Hadoop is an open-source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Hadoop clusters multiple computers together, allowing them to analyze massive datasets in parallel more quickly than if they were operating alone. In this way, it enables businesses to quickly and efficiently gain insights into their data.

3. Database Schema

A database schema is a database design that can be expressed as both visual diagrams and sets of logical formulas, known as integrity constraints, that define the structure of a relational database. These constraints define the rules for data definition and data manipulation within the database. A database schema exists as part of a database catalog (also called the information schema in some databases), and thus serves as a description for the contents of that database.

4. SQL

Structured Query Language (SQL) is the most popular language used to work on databases. It is a domain-specific language that can be used to perform a variety of operations, including creating a database, storing data in tables, modifying, extracting, and more. We are surrounded by data, so in order to store it securely we need a proper database and to manage that database we need a language like SQL. It has a wide range of applications and is used by business professionals, developers, and data scientists to maintain as well as manipulate data.

5. Python

Python is an effective programming language commonly used in web development, data analysis, and artificial intelligence. Python's simple syntax and readability make it ideal for building complex systems in a shorter amount of time. Moreover, since Python is cross-platform and object-oriented, as well as extensible through the use of libraries, it has become widely adopted for many non programming applications such as scientific computing, data analysis, and organizing finances.

Interested in remote Apache Airflow developer jobs?

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How to get remote Apache Airflow developer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote Apache Airflow developer jobs that suit your career trajectories as an Apache Airflow developer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Apache Airflow developer jobs with better compensation and career growth.

Why become an Apache Airflow developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Apache Airflow developers?

At Turing, every Apache Airflow developer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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briefcase
Terminal Bench Expert

About the projects: 

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


About the Role: 

Looking for highly analytical engineers, researchers, and domain specialists to contribute benchmark tasks for AI agent evaluation systems (e.g., Terminal-Bench). Design realistic, technically deep tasks simulating real-world scenarios such as debugging, data corruption, infrastructure failures, and complex workflows.


What does day-to-day look like:

  • Design high-quality Terminal-Bench task ideas and specifications.
  • Develop complex tasks requiring reasoning, investigation, and debugging.
  • Write clear task descriptions, solution approaches, and verification logic.
  • Define deterministic, outcome-based evaluation criteria.
  • Identify realistic failure modes, edge cases, and operational constraints.
  • Create tasks that challenge AI systems while remaining solvable by experts.
  • Collaborate with reviewers to refine task quality and difficulty.
  • Contribute expertise across one or more specialized domains.

Required Skills:

  • 3–10 years of experience in software engineering or relevant domains.
  • Strong debugging, reasoning, and analytical skills.
  • Good understanding of system design, workflows, and dependencies.
  • Ability to analyze complex systems across multiple layers.
  • Experience with production systems, pipelines, or large-scale workflows.
  • Strong technical writing and documentation skills.
  • Exposure to LLMs, agentic systems, or AI evaluation frameworks.
  • Experience reviewing technical specifications or designing validation logic.

Domains (Any of the following):

  • Software Engineering & Code Operations
  • Debugging & Codebase Navigation
  • System Administration & Shell Workflows
  • File & Text Processing Pipelines
  • Data Engineering (ETL & Data Pipelines)
  • Database & SQL Operations
  • Machine Learning Pipelines & MLOps
  • Post-training & Model Finetuning Workflows
  • AI Evaluation & Benchmarking Systems
  • Retrieval, Search & Ranking Systems
  • GPU / Systems Performance Optimization
  • Distributed Systems & Infrastructure
  • Cloud & Platform Engineering
  • DevOps & CI/CD Systems
  • Build & Dependency Management
  • Scientific & Numerical Computing
  • Simulation & Optimization Systems
  • Formal Methods & Theorem Proving
  • Document & Structured Data Processing (PDFs, Excel, etc.)
  • Media Processing (Video, Audio, Images via CLI tools)
  • Programmatic Graphics & Design (SVG, layout, rendering)
  • Data Visualization & Reporting Workflows
  • Geospatial & Spatial Data Processing
  • Time-series & Forecasting Systems
  • Security, Forensics & Reverse Engineering
  • Cybersecurity & Vulnerability Analysis
  • Networking & API Integration Workflows
  • Automation & Multi-step Toolchain Orchestration
  • CLI Tooling & Developer Tool Workflows
  • Version Control & Git Workflows
  • Observability, Logging & Monitoring
  • Storage Systems & File Systems
  • Finance & Accounting Workflows
  • Quantitative Finance & Risk Modeling
  • Legal & Compliance Workflows
  • Healthcare & Clinical Data Processing
  • Supply Chain & Logistics Operations
  • Marketing & Growth Analytics
  • CRM & Sales Operations
  • HR & Recruiting Analytics
  • Consulting & Strategy Modeling
  • Investment Workflows
  • Operations Research & Decision Optimization
  • Benchmark Infrastructure, Adapters & Harness

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with overlap of 4 hours with PST
  • Employment type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 5 weeks; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process (approximately 75 mins) :

  • One round of technical evaluation (60 mins)
-
1-10 employees
Software DevelopmentLLM
briefcase
C++ Systems Software Engineer

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


Role Overview:

We are seeking highly skilled C/C++ engineers to work with system-level libraries and tools such as OpenSSL, FFmpeg, glibc, libssh2, zlib, systemd, tcpdump and support infrastructure for AI-driven software engineering systems. In addition, you will play a key role in building the backend stack for model training and evaluation pipelines that support intelligent systems like the SWE Bench, where AI agents assist in real-world software maintenance and patching workflows


Responsibilities:

  • Develop, maintain, and extend high-performance, secure system software in C/C++.
  • Integrate and work with open-source projects such as OpenSSL, FFmpeg, glibc, systemd, tcpdump, libssh2, ImageMagick, and FreeRDP.
  • Design tools and infrastructure to support model training and evaluation workflows.
  • Build systems for suggesting code patches based on bug reports, issue descriptions, and vulnerability IDs.
  • Automate assessment of PRs and patch diffs for correctness and completeness.
  • Develop solution plans, set up reproducible environments, and evaluate test outcomes.
  • Collaborate with AI engineers on integrations involving Rust bindings and Python-based orchestration tools.
  • Analyze low-level system behavior using profiling, tracing, and debugging tools.
  • Write clear, maintainable code and documentation for internal systems and external libraries.

Required Qualifications:

  • Expert-level experience in C and/or C++ (C99+, C++11/14/17).
  • Strong understanding of systems programming, memory management, and networking internals.
  • Hands-on experience with Linux kernel, glibc, and multithreaded programming.
  • Familiarity with libraries such as OpenSSL, zlib, FFmpeg, libssh2, and ImageMagick.
  • Proficiency with debugging and diagnostics tools like gdb, valgrind, perf, and tcpdump.
  • Experience integrating or extending open-source libraries and toolchains.
  • Comfortable with build systems such as make, cmake, and autotools.
  • Experience with Python, bash scripting, and Docker.
  • Exposure to DevOps practices.

Good to have:

  • Experience with model evaluation workflows involving static and dynamic code analysis.
  • Understanding of AI-assisted code generation tools and feedback loops.
  • Background in building tools for test orchestration, sandboxing, and runtime validation.


Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Commitments Required : 40 hours per week with overlap of 4 hours with PST
  • Engagement type : Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract : 3 months; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process

  • 2 rounds of technical interview with 30 minutes each
-
1-10 employees
C++Open SourceShell Scripting
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