1

Airflow Developer Jobs in Georgia (NOW HIRING)

Revinate is a company focused on data solutions, and they are seeking a Data Warehouse Engineer to ... Python (or a similar language), Apache Airflow, Google BigQuery, SQL • Experience in Cloud Data ...

GCP Data Engineer

Atlanta, GA · On-site

$109K - $131K/yr

... Apache Airflow or Google Composer • Detail-oriented and document all the work • Ability to work with others from diverse skill-sets and backgrounds • GCP Data Engineer/Solution architect ...

LangGraph, Airflow, Kubeflow, etc. • Strong DevOps and CI/CD tools. • Proficiency in cloud-based architecture and experience with infrastructure automation (Terraform, Kubernetes). Preferred ...

Support workflow orchestration platforms (e.g., Airflow) to ensure successful job execution and ... Collaborate with Engineering, Product, and Data teams to resolve issues and enhance system ...

Support workflow orchestration platforms (e.g., Airflow) to ensure successful job execution and ... Collaborate with Engineering, Product, and Data teams to resolve issues and enhance system ...

Support workflow orchestration platforms (e.g., Airflow) to ensure successful job execution and ... Collaborate with Engineering, Product, and Data teams to resolve issues and enhance system ...

Senior Data Engineer ID75059

Atlanta, GA · On-site

$104K - $141K/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 ...

AWS Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

Perform data cleansing, data validation etc 3. Hands on ETL developer who is good at python, SQL ... Airflow, AWS Step functions 6. Excellent Communication skills, should be able to work ...

Mechanical/HVAC Engineer

Pooler, GA · On-site

$76K - $103K/yr

... calculations Airflow and pressurization strategies Ductwork and piping layouts Equipment ... engineering, validation, quality assurance, automation and manufacturing teams Perform root cause ...

Data Warehouse Engineer

Atlanta, GA · On-site +1

$110K - $120K/yr

... work with other engineers to build a robust and stable data warehouse * Active monitoring and ... Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate ...

Data Warehouse Engineer

Atlanta, GA · On-site +1

$110K - $120K/yr

... work with other engineers to build a robust and stable data warehouse * Active monitoring and ... Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate ...

Our software engineering positions provide you the opportunity to join a team of talented engineers ... Airflow, and others. Design and development of micro services using Java, Springboot, GCP SDKs, GKE ...

next page

Showing results 1-20

Airflow Developer information

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.
Senior Developer, Architecture

$52.50 - $69.25/hr

Full-time

Re-posted 4 days ago


Job description

Overview

Job Purpose

We're seeking a highly skilled Senior Developer to join the cross-cutting Enterprise Architecture team within ICE's Fixed Income and Data Services (FIDS) division.

This role sits at the intersection of architecture, developer experience, and platform engineering - helping to define, build, and scale frameworks and systems that power development across our business units.  You'll work on initiatives that span teams and technologies: integrating observability frameworks like OpenTelemetry across hundreds of applications, building internal AI and MCP proof-of-concepts, and maintaining our declarative YAML-based data pipeline framework that simplifies Airflow and infrastructure complexity for thousands of workflows.  This is a great opportunity to influence the core of how hundreds of engineers at ICE build and deliver software.  You'll be part of a small, senior, and highly visible team focused on accelerating innovation, improving reliability, and setting the standard for development excellence across our products and data platforms.

This position is ideal for a polyglot engineer who is comfortable designing distributed systems, building automation and tooling, and enabling other developers to deliver faster, safer, and smarter.

Responsibilities

  • Design, develop, and maintain reusable frameworks and developer tools that streamline application and data pipeline development across teams
  • Collaborate with architects and engineering leads to define patterns, conventions, and best practices for observability, data lineage, and platform telemetry
  • Lead proof-of-concepts (POCs) for emerging technologies such as LLM integration via MCP, automated test frameworks, and developer productivity tooling
  • Partner with application teams to instrument distributed systems and ensure scalability, reliability, and traceability in production
  • Contribute to CI/CD automation, developer workflow improvements, and self-service capabilities that reduce friction in delivery pipelines
  • Advocate for developer experience (DevEx), simplifying complex processes through automation, documentation, and developer-friendly abstractions
  • Mentor junior developers and collaborate across multiple business units on cross-functional projects

Knowledge and Experience

  • 6+ years of professional software development experience, with at least 2 years working on platform or framework-level initiatives
  • Expertise in at least two major programming languages (e.g., Python, Java, TypeScript, or Go), with proficiency across the stack
  • Experience building and operating distributed systems at enterprise scale
  • Familiarity with OpenTelemetry or similar observability frameworks
  • Strong understanding of CI/CD pipelines, automated testing, and infrastructure-as-code principles
  • Experience developing developer tools, SDKs, or internal frameworks used by other teams
  • Ability to debug complex production issues across layers of the stack
  • Excellent communication and cross-team collaboration skills

Preferred Knowledge and Experience

  • Prior experience building internal developer platforms or frameworks ("paved roads")
  • Experience with declarative data-pipeline frameworks
  • Familiarity with AI/LLM integrations, plugin architectures, or agentic workflows
  • Experience leveraging AI tools (e.g., GitHub Copilot, Cursor, Claude Code) to debug, develop unit tests and generate test cases from requirements documents
  • Exposure to IaC, Containerization and Continuous Delivery technologies
  • Familiarity with OLAP databases and technologies at petabyte scale
  • Strong understanding of software observability, metrics collection, and data lineage
  • Contributions to open-source or internal developer tooling projects

#LI-HR1 #LI-ONSITE

----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME