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Airflow Developer Jobs in Oregon (NOW HIRING)

Teradata

Beaverton, OR · On-site

$60/hr

Requirement is for a data engineer with knowledge in Microsoft Fabrics, Databricks, Teradata, Airflow & Snowflake Technical skills required are below: * Microsoft Fabrics * Databricks * Teradata

$52.25 - $72/hr

The role of the python developer will be to build, deploy, maintain RESTful APIs and their ... Experience with Airflow. * Experience with Splunk. * Experience with Linux based systems.

OR · On-site

$129K - $166K/yr

Maintain and extend Azure DevOps CI/CD pipelines using shared Terraform templates with multi ... Dataproc (Spark), Cloud Composer (Airflow), BigQuery, Pub/Sub * Familiarity with OPA/Rego or ...

OR · On-site

$105K - $143K/yr

Design and evolve our core data infrastructure on AWS, Apache Airflow, and Apache Spark. * Build ... Partner with Product and Engineering to identify where data and AI can create step-change ...

Experience with DevOps - Orchestration/Configuration Management and CI/CD tools (Jenkins, CircleCI ... Nice to have Airflow experience. Hadoop : 1 year operational experience with the Hadoop stack ...

OR

$55.25 - $71.25/hr

Develop and maintain reliable ETL/ELT pipelines using tools like Airflow, DBT, and languages like ... Guide engineers, share best practices, and foster a culture of technical excellence. * Collaborate ...

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

We're looking for a Staff Software Engineer to join our Data Governance and Foundations Team. In ... Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You'll join a focused team of 7 ...

Developing data integrations using Airflow, Snowflake and Apache Kafka Who You Will Work With You'll be part of a cross-functional team of engineers, business stakeholders, and product owners. You'll ...

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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 Oregon? For Airflow Developer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Airflow Developer jobs? Cities in Oregon with the most Airflow Developer job openings:

$55 - $75.25/hr

Contractor

Posted 6 days ago


Job description


Job Summary
Platform/DevOps Engineer to support our team responsible for the management of day-to-day operations and maintenance of our cloud-based infrastructures to ensure smooth operation. The right candidate will contribute to DevOps, continuous delivery, cloud resource management (EC2, S3, EMR, etc.), system design, data access, operations, and sustainable activities across development, staging and production environments and will work closely with Engineering and Product Owners across multiple squads to ensure proper and timely deployment of customer's solutions.
Responsibilities
• Enable productive workflow management and job orchestration via Airflow
• Participate in system design planning and review to support a largely 24x7 operation
• Participate in providing technology assessments in support of automation and technology migration initiatives
• Recommend improvements; maintain/monitor production and non-production systems to ensure infrastructure performs at maximum efficiency
• Recommend system design and configuration that minimizes cloud consumption costs
• Provide support of our applications including escalation and system performance of production platforms
• Perform systems analysis and tuning to ensure optimal operating systems response for multi-user applications
• Implement/maintain IT security guidelines
• Use innovative methods and technologies to identify and solve problems related to performance, scalability, reliability, and availability
• Automating operational processes using scripting languages
• Develop, implement, and continually improve system and monitoring and alerting capabilities and procedures
• Write knowledge base documents to improve operations, SOP and contribute to IT organization
Required Experience
• Cloud technology
• CICD tools and processes
• Strong analytical and problem-solving skills
• Ensuring that solutions leverage industry best practices
• Demonstrated ability to generate and maintain technical documentation
• Experience integrating 3rd party APIs
Qualifications
• Amazon Web Services operation, maintenance, implementation and design
oIncludes Airflow, Snowflake, EMR Clusters, EC2 management, IAM, Cloudtrail, Cloudwatch, EBS management, AMI, Jenkins, containers and more.
oWork with Enterprise Platform team to leverage enterprise products and processes
• Experience working with big data technologies, e.g., Spark, Hadoop, Python
• Strong scripting for task automation in Python or other scripting language
• AWS or other cloud management system APIs.
• Strong written and verbal communication skills.