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Data Engineer Airflow Jobs in Oregon (NOW HIRING)

Prescryptive

OR · On-site

$114K - $137K/yr

About this role As a Principal Data Engineer, you will play a key role in developing our modern ... ADF), Airflow / Dagster, and dbt, with SQL and Python. * Design and implement robust data ...

Human Interest

OR

$105K - $143K/yr

Our stack includes Snowflake, dbt, Airflow, Meltano, and Terraform on AWS. We're a small, highly ... Mentor data engineers and analysts, raising the technical bar across the team. What you bring to ...

ClickHouse

OR · On-site

$114K - $137K/yr

You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and ... Apache Airflow, Dagster, Prefect * Transformation Tools: dbt, SQLMesh * AI & LLM Ecosystem:

Cornerstone

Principal Data Engineer

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that ... Familiarity with orchestration and ETL tools (e.g., Airflow, Informatica, Matillion). * Experience ...

Cornerstone OnDemand

Principal Data Engineer

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that ... Familiarity with orchestration and ETL tools (e.g., Airflow, Informatica, Matillion). * Experience ...

The Motley Fool

OR

$105K - $143K/yr

You will architect ETL/ELT pipelines orchestrated by Apache Airflow (AWS MWAA), build and tune a ... Data Engineering & ETL - 35% * Pipeline Design & Orchestration: Design, build, and maintain robust ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... Proficiency with workflow orchestration tools (e.g., Airflow, Prefect) * Knowledge of data lake ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Moda Health

Data Engineer I, II

Portland, OR · On-site

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... and/or Airflow. Exposure to modern cloud-based transformation tools such as dbt or similar is ...

Cotiviti

Senior Data Engineer AI

$140K - $165K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Experience with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows)

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Oregon

Data Engineer Airflow information

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a Data Engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a Data Engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
What are popular job titles related to Data Engineer Airflow jobs in Oregon? For Data Engineer Airflow jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Oregon look for? The top searched job categories for Data Engineer Airflow jobs in Oregon are:
What cities in Oregon are hiring for Data Engineer Airflow jobs? Cities in Oregon with the most Data Engineer Airflow job openings:
Data Engineer Airflow jobs near you

Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$119K - $143K/yr

Contractor

Re-posted 3 hours ago

Job description


Overview
As a Data Engineer within North America Supply Chain, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities across the enterprise.
Primary Responsibilities
• Good understanding and application of modern data processing technology stacks. For example, AWS, Snowflake, SQL, Airflow, SQOOP, DMS, Spark, and building out performant data consumption layers.
• Design and build product features in collaboration with business and IT.
• Design reusable components, frameworks, libraries like User Defined Functions.
• Build continuous integration and test-driven development environment.
• Performance/scalability tuning, algorithms and computational complexity.
• Manage large data sets that are updated multiple times per day.
• Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints.
• Troubleshoot production support issues post - deployment and come up with solutions as required.
Preferred Experience
• A Bachelor's degree in Business, Information Technology or related field.
• 2+ years' experience in a professional organization collaborating across multiple functions.
• Familiarity with Agile project delivery methods.
• Experience with AWS components and services (E.G. EC2, EMR, S3, and Lambda).
• Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow.
• Strong programming, Python, shell scripting and SQL.
• Good understanding of file formats including JSON, Parquet, Avro, and others.
• Experience with data warehouses/RDBMS like Oracle, Teradata, Snowflake.
• Experience with data warehousing, dimensional modeling and ETL development.
• Demonstrable ability to quickly learn new tools and technologies.
• Exceptional interpersonal and communication skills (written and verbal).

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