1

Airflow Developer Jobs in Chicago, IL (NOW HIRING)

ReactJS with Azure developer

Chicago, IL ยท On-site

$56.75 - $70.25/hr

... Apache Airflow on Kubernetes (AKS) using Helm. โ€ข Writing DAGs in Python for ETL and data ... DevOps & Containerization โ€ข Docker -- multi-stage builds for React and Python/Node apps. โ€ข Helm ...

Data engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required ... SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Knowledge of SQL, JavaScript, Apache airflow. * Strong communication skills. * Willingness to take ...

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Knowledge of SQL, JavaScript, Apache airflow. * Strong communication skills. * Willingness to take ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Build expertise in data engineering using Spark, Databricks, Airflow, and cloud resources. * Strengthen your knowledge of the digital marketing domain while contributing to Publicis's success.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Build expertise in data engineering using Spark, Databricks, Airflow, and cloud resources. * Strengthen your knowledge of the digital marketing domain while contributing to Publicis's success.

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Build expertise in data engineering using Spark, Databricks, Airflow, and cloud resources. * Strengthen your knowledge of the digital marketing domain while contributing to Publicis's success.

Databricks Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

... g., Airflow, Control-M) Automate data pipelines, deployments, and operational processes through CI/CD pipelines Leverage cloud-native services (AWS/Azure) for data processing, storage, and event ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

... g., Airflow, Control-M) Automate data pipelines, deployments, and operational processes through CI/CD pipelines Leverage cloud-native services (AWS/Azure) for data processing, storage, and event ...

Senior Data Engineer ID75059

Chicago, IL ยท On-site

$109K - $148K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... The role combines hands-on engineering with technical consulting responsibilities, translating ...

Senior DevOps Engineer

Chicago, IL ยท On-site

$133K - $172K/yr

Overview: We're looking for a senior level DevOps Engineer to join a small, high-impact team that ... Experience with Kubeflow, Airflow, or ML pipeline orchestration. * Experience with advanced ...

Senior DevOps Engineer

Chicago, IL ยท On-site

$133K - $172K/yr

Overview: We're looking for a senior level DevOps Engineer to join a small, high-impact team that ... Experience with Kubeflow, Airflow, or ML pipeline orchestration. * Experience with advanced ...

Senior DevOps Engineer

Chicago, IL ยท On-site

$133K - $172K/yr

Overview: We're looking for a senior level DevOps Engineer to join a small, high-impact team that ... Experience with Kubeflow, Airflow, or ML pipeline orchestration. * Experience with advanced ...

next page

Showing results 1-20

Airflow Developer information

See Chicago, IL salary details

$17

$54

$84

How much do airflow developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for airflow developer in Chicago, IL is $54.43, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $66.63 per hour, depending on experience, location, and employer.

What are Airflow Developers?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

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

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow Developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
What cities near Chicago, IL are hiring for Airflow Developer jobs? Cities near Chicago, IL with the most Airflow Developer job openings:
Infographic showing various Airflow Developer job openings in Chicago, IL as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $113,218 per year, or $54.4 per hour.

ReactJS with Azure developer

Tata Consultancy Service Limited

Chicago, IL โ€ข On-site

$100K - $120K/yr

Full-time

Posted 14 days ago


Job description

ReactJS with Azure (Majority work), Python, Airflow, Spark with Kubernetes. And ETL Data knowledge.
The ideal candidate is a ReactJS frontend engineer with Azure cloud deployment expertise who can also design and orchestrate data workflows in Airflow, perform Python scipting and run Spark jobs on Kubernetes. They should be comfortable with Helm, Docker, and CI/CD pipelines for both application and data workloads. In addition to frontend work, the candidate will collaborate with Data Engineering team to deploy and orchestrate workflows in Apache Airflow and run Spark jobs on Kubernetes for large-scale data processing.
โ€ข This is a cross-functional role 70% frontend & Azure deployment, 30% data workflow orchestration and Kubernetes-based big data processing.
โ€ข Candidate Profile ReactJS + Azure (Primary), Airflow, Spark on Kubernetes
โ€ข 1. Core Frontend Expertise (Primary)
โ€ข ReactJS (3+ years) building scalable, component-based SPAs.
โ€ข Strong in JavaScript (ES6+) and TypeScript.
โ€ข Experience with state management (Redux, Zustand, or Recoil).
โ€ข UI frameworks: Material-UI, Ant Design, or TailwindCSS.
โ€ข REST API and GraphQL integration.
โ€ข Performance optimization (lazy loading, memoization, code splitting).
โ€ข Unit testing with Jest, React Testing Library, or Cypress.
โ€ข 2. Azure Cloud Skills (Majority Work)
โ€ข Azure App Services and Azure Static Web Apps for frontend hosting.
โ€ข Azure Kubernetes Service (AKS) deploying containerized apps.
โ€ข Azure Container Registry (ACR) building and pushing Docker images.
โ€ข Azure Key Vault secure secrets management.
โ€ข Azure DevOps Pipelines CI/CD for React apps ([example pipeline here]5).
โ€ข Familiarity with Helm charts for AKS deployments ([example full-stack React + AKS Helm setup]4).
โ€ข Azure Storage (Blob, Table) for static assets and logs.
โ€ข 3. Airflow (Workflow Orchestration)
โ€ข Deploying Apache Airflow on Kubernetes (AKS) using Helm ([guide here]2).
โ€ข Writing DAGs in Python for ETL and data processing.
โ€ข Integrating Airflow with Azure Blob Storage, Data Lake, or SQL DB.
โ€ข Using KubernetesExecutor for dynamic scaling ([example Airflow + PySpark on K8s]3).
โ€ข 4. Spark with Kubernetes
โ€ข Running PySpark jobs on Kubernetes clusters.
โ€ข Experience with SparkSubmitOperator in Airflow for big data pipelines.
โ€ข Optimizing Spark jobs for performance and cost.
โ€ข Familiarity with persistent volumes and RBAC in Kubernetes for Spark workloads.
โ€ข 5. DevOps & Containerization
โ€ข Docker multi-stage builds for React and Python/Node apps.
โ€ข Helm templating Kubernetes manifests for multi-environment deployments ([multi-stage Helm example]1).
โ€ข kubectl managing deployments, services, and pods.
โ€ข CI/CD integration with Azure DevOps or GitHub Actions
Salary Range- $100,000-$120,000 a year
#LI-SP3
#LI-VX1