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Airflow Developer Jobs in Oregon (NOW HIRING)

Onehouse

OR · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Developer Advocate to become the primary public technical advocate of ... Airflow, dbt, Ray, pyTorch, Apache Polaris . Community Engagement & Feedback Loops * Unite the ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar ...

Weight Watchers

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability ... Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to ...

Zocdoc

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact on our Mission We are looking for a Senior Staff Data Platform Engineer to elevate the ... Hands-on experience with dbt and orchestration tools like Airflow or Dagster. * Experience ...

Ohm Systems, Inc

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Work with engineering leads and other teams to ensure quality solutions are implemented, and ... Experience with workflow orchestration tools like Apache Airflow * Experience with source code ...

Panthalassa

Senior Thermal Engineer

Portland, OR · On-site

$110K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyze unit- and payload-level thermal architectures to define required airflow, liquid flow rates ... Work with electrical and mechanical engineers to define cooling interfaces and design targets that ...

Panthalassa

Senior Thermal Engineer

Portland, OR · On-site

$110K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyze unit- and payload-level thermal architectures to define required airflow, liquid flow rates ... Work with electrical and mechanical engineers to define cooling interfaces and design targets that ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow ... Understanding of CI/CD workflows and DevOps practices applied to ML systems (e.g., Git, Code Review ...

Panthalassa

Senior Thermal Engineer

Portland, OR

$110K - $152K/yr

Analyze unit- and payload-level thermal architectures to define required airflow, liquid flow rates ... Work with electrical and mechanical engineers to define cooling interfaces and design targets that ...

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR

$108K - $143K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Nike

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

... Spark, Apache Airflow, dbt) * A strong familiarity and development experiences with agentic ... Strong track record with modern DevOps methodologies, automation, CI/CD pipelines, and ...

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Showing results 21-40

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Airflow Developer information

What is an Airflow developer?

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 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.

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.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

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 job categories do people searching Airflow Developer jobs in Oregon look for?

The top searched job categories for Airflow Developer jobs in Oregon are:

What cities in Oregon are hiring for Airflow Developer jobs?

Cities in Oregon with the most Airflow Developer job openings:

Airflow Developer jobs near you

Senior Developer Advocate

Onehouse

OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 hours ago

Job description

About Onehouse
Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry's most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML).

We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!

Onehouse is delivering the next generation of cloud data pipelining by building a fully managed cloud data lakehouse platform. As we execute our product-led growth (PLG) strategy and introduce cutting-edge initiatives like quanton.dev, our goal is to empower organizations to build open, fast, and scalable data architectures without vendor lock-in.
 
We are seeking a Senior Developer Advocate to become the primary public technical advocate of Onehouse. This is a high-visibility, mission-critical role designed for an active, highly technical member of the data and engineering ecosystem. You will act as a trusted product evangelist, guiding developers, architects, and AI practitioners on how to design next-generation data lakehouse architectures. By translating complex infrastructure capabilities into engaging narratives, you will play an instrumental role in driving the awareness, adoption, and scaling of the Onehouse platform.
A Typical Day
Technical Storytelling & Content Creation
  • Author Authoritative Content: Write high-quality, deeply technical blog posts, tutorials, architectural blueprints, and deep-dives for onehouse.ai and quanton.dev.
  • Build Social Influence: Maintain a highly active, influential presence across developer-focused social platforms (specifically LinkedIn and X) to drive industry-wide conversations.
  • Deliver Compelling Presentations: Represent Onehouse on the public stage by delivering technical talks, running interactive workshops, hosting webinars, and participating in podcasts or developer panels.
Hands-on Technical Enablement
  • Develop Production-Grade Demos: Build, maintain, and open-source complete reference implementations, demo applications, and integration templates on GitHub.
  • Showcase Ecosystem Integrations: Architect and showcase seamless integrations connecting Onehouse with modern data infrastructure tools including Apache Spark, Apache Hudi, Apache Iceberg, Trino, Apache Flink, Apache Kafka, Apache Airflow, dbt, Ray, pyTorch, Apache Polaris.
Community Engagement & Feedback Loops
  • Unite the Ecosystem: Serve as a core advocate and technical resource across open-source communities, including the Apache Software Foundation and modern Lakehouse groups.
  • Drive the Product Feedback Loop: Partner directly with Product Management and Engineering. Gather unfiltered feedback from developers and customers to validate new capabilities, shape product messaging, and directly influence our roadmap.
  • Collaborate Internationally: Work alongside Marketing to coordinate major product launches, lead technical campaigns, and manage analyst briefings with technical authority.
What You Bring to the Table:
Required Experience & Technical Skills
  • 5+ Years of Developer-Facing Experience: Proven background in roles such as Developer Relations, Developer Advocacy, Solutions Engineering, Technical Product Management, or Software Engineering.
  • Deep Data/Lakehouse Domain Expertise: Strong conceptual and practical understanding of modern data lakehouse architectures, open table formats, metadata management, data governance and cloud-native data management.
  • Hands-on Stack Proficiency: Practical experience building, operating, and troubleshooting production pipelines utilizing data technologies such as Apache Spark, Apache Hudi, Apache Iceberg, Trino/Presto, Apache Flink, or Apache Kafka.
  • Cloud Infrastructure Background: Exposure to deploying data solutions on cloud environments, including AWS, Azure, GCP, Databricks, or Snowflake.
  • Programming Skills: Strong coding fluency in at least one modern language, such as Python, Java, Scala, or Go.
  • Demonstrated Communication Portfolio: An active public portfolio of written technical content (blogs, guides, docs) and experience speaking in public forums, conferences, or webinars.
Preferred Qualifications & Assets
  • Established Digital Presence: An active, highly engaged public following within the data engineering or AI developer community (e.g., active on LinkedIn, X, personal newsletters, or podcasts).
  • AI Data Infrastructure Experience: Familiarity with vector databases, Retrieval-Augmented Generation (RAG) pipelines, or building data platforms that fuel AI/ML workloads.
  • Ecosystem Connections: Existing professional relationships within the open-source communities surrounding Spark, Hudi, Iceberg, Trino, or Flink.
  • Developer Tooling Background: Experience building developer-focused libraries, custom SDKs, APIs, or CLI tools.
What Success Looks Like in Year One
By the end of your first year, you will have successfully established yourself as a core technical driver of Onehouse's growth, delivering on the following major outcomes:
  • Elevated Industry Authority: You have become a highly recognized technical voice for Onehouse by consistently publishing top-tier content across onehouse.ai and quanton.dev, while expanding our organic footprint and engagement across key social platforms like LinkedIn and X.
  • Active Ecosystem Presence: You have educated the broader data engineering community on modern lakehouse architectures by delivering compelling talks and running hands-on workshops at leading industry conferences, community meetups, webinars, and partner events.
  • Scalable Enablement Assets: You have designed and open-sourced a robust suite of reusable demonstrations, sample applications, and reference architectures that directly accelerate product adoption, developer onboarding, and customer success.
  • Bi-directional Feedback Loop: You have cultivated trusted relationships with developers, customers, analysts, and open-source communities-using those connections to bring critical, actionable technical feedback back to our Product and Engineering teams to help shape our future roadmap.
How We'll Take Care of You
-Competitive Compensation; the estimated base salary range for this role is $180,000 - $220,000 USD or 75-95L INR
-Equity Compensation; our success is your success with eligible participation in our company equity plan
-Health & Well-being; we'll invest in your physical and mental well-being with up to 100% health coverage (upto 75% for spouses/dependents) including comprehensive medical, dental & vision benefits
-Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan
-Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays
-Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ
-Food & Meal Allowance; daily lunch, in-office snacks/drinks
-Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup
-Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition
 
 
Pay Range Transparency
Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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