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Airflow Developer Jobs in Georgia (NOW HIRING)

Astronomer

$125K - $130K/yr

... DevOps teams, and management. * Provide feedback from your experience that can shape the direction of the Airflow project. * Own the customer experience, working directly with customers to ...

Factspan Inc

Java Developer

Atlanta, GA · On-site

$49 - $63.50/hr

Java Developer + Data Engineer - Onsite (Spring Boot / Java / Google Cloud Platform / Airflow / SQL / Python) Location: Atlanta (Onsite) Experience: 8-10 years Employment Type: Full Time About the ...

IT America Inc

DataStage Developer

Atlanta, GA · On-site

DataStage Developer Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note ... Familiarity with orchestration tools like Apache Airflow * Python or scripting experience

Geotab

Data Operations Developer

Atlanta, GA · On-site

Geotab is seeking a Data Operations Developer who will be responsible for the development of ... Automate repetitive tasks within Apache Airflow, such as data ingestion and quality checks, to ...

Geotab

Data Operations Developer

Atlanta, GA

Geotab is seeking a Data Operations Developer who will be responsible for the development of ... Automate repetitive tasks within Apache Airflow, such as data ingestion and quality checks, to ...

Volto USA

Adobe MarTech Software Developer

Duluth, GA · On-site

Software Developer - Adobe MarTech Location: Duluth, GA - Hybrid, 2 days onsite weekly Duration: 6 ... BigQuery/Airflow pipelines, optimize MongoDB/PostgreSQL for <500ms latency, and support CI/CD ...

SmartIPlace

Data Engineer

Atlanta, GA · On-site

$60 - $68/hr

Top Skills' Details 1- Databricks data modeling w/ Python 2- Azure ETL / Data analysis 3- Spark/Hive/Airflow 5-10 Years Focused on manipulating data in a software engineering capacity. Some of that ...

4pconsultinginc

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required. Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines

IT America Inc

ETL/SSIS Developer

Atlanta, GA · On-site

Position: ETL/SSIS Developer Location: Atlanta, GA / Nashville, TN Duration: Long term contract ... Familiarity with orchestration tools like Apache Airflow * Python or scripting experience

4pconsultinginc

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Manage data orchestration workflows (e.g., Airflow or equivalent) * Implement CI/CD and Git-based workflows for data pipelines AI-Assisted & Modern Engineering Practices * Leverage AI tools or ...

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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.
What are popular job titles related to Airflow Developer jobs in Georgia? For Airflow Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Airflow Developer jobs in Georgia look for? The top searched job categories for Airflow Developer jobs in Georgia are:
Airflow Developer jobs near you
Customer Reliability Engineer, Airflow

Customer Reliability Engineer, Airflow

Astronomer

On-site, Remote

$125K - $130K/yr

Full-time

Posted 20 days ago

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
As an Airflow Reliability Engineer on the Customer Reliability Engineering (CRE) team at Astronomer, you will have the opportunity to become an Apache Airflow expert, learning directly from leaders of the Airflow project. You'll provide Apache Airflow expertise directly to customers to help them make the best possible use of our managed Airflow service.
CRE is Astronomer's support team. Because our customers are sophisticated organizations who need and expect high levels of expertise to help them keep mission critical uses of Apache Airflow working consistently, we look a little different from most support teams. Nearly every ticket you will work requires an intersection of strong technical knowledge and customer empathy to understand what the customer needs and how to get them there. Every day is a new challenge and a new thing to learn.
When you learn a new piece of technology, are you aiming not just to get started but to become the expert? Do you listen to the plumber when they tell you what is wrong with the pipes? Are you the kind of person who takes an MIT OpenCourseWare course and actually finishes it? Then this role could be for you.
What you get to do:
  • Learn and build expertise across several software engineering disciplines, including:
  • Airflow and data engineering
  • Kubernetes
  • Cloud Engineering
  • Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more.
  • Solve challenging Airflow problems for our customers. From optimizing configuration to identifying world-first Airflow bugs, you'll see it all here.
  • Spend up to 20% of your time on side projects that contribute to Astronomer's overall success, such as contributing to the open-source Airflow repository or developing Astronomer's internal monitoring and alerting systems built on Airflow.
  • Work on a modern, sophisticated, cloud-native product that customers use to connect to dozens of other systems. Gain depth and breadth of learning!
  • Work directly with our customers' data engineers, system admins, DevOps teams, and management.
  • Provide feedback from your experience that can shape the direction of the Airflow project.
  • Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide "white glove" guidance on the path to production.
  • Participate remotely within a fully distributed team.
  • Help maintain 24x7 coverage through a specified 6-hour pager period during your work day.
  • Participate in paid on-call rotation for weekend coverage.

What you bring to the role:
  • Data Engineering background
  • 4 years of experience with Python
  • 1 year of experience in Airflow administration and DAG creation
  • Experience with Kubernetes/Docker/Containers
  • Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)
  • Problem-solving and troubleshooting abilities
  • Ability to work well with autonomy and independence
  • Strong written and verbal communication for connecting with our customers over our ticketing system and through Zoom
  • Experience mentoring junior team members

Bonus points if you have:
  • Contributions to open-source projects
  • Customer Support experience
  • Familiarity with SQL and PostgreSQL
  • Experience with Databricks, Snowflake, Redshift, dbt, or other similar data engineering tools

The estimated total compensation for this role ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Fulltime
#LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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