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Data Engineer Airflow Jobs in Arizona (NOW HIRING)

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

... Airflow, and Power BI for production-grade data solutions. * Mastery of AWS services (IAM, VPC ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

Software Engineer 4

Chandler, AZ ยท On-site

$69 - $74/hr

... data platforms. * Hands-on experience with: * Python * PySpark * Kafka * Apache Airflow * Google ... Technical Skills Programming & Development * Python * PySpark Cloud Platforms * Google Cloud ...

MLOPS Engineer

Scottsdale, AZ ยท On-site

$60/hr

Collaborate with Data Scientists and Data Engineers for productionizing ML models * Ensure ... MLflow, Kubeflow, Airflow, SageMaker, Azure ML * Knowledge of CI/CD tools: Jenkins, GitHub Actions ...

... Data Engineer certification is plus. * Hands on experience in GCP BigQuery, Orchestration using Composer and Airflow etc. * Knowledge of Pub/Sub and Dataflow will be added advantage. * Should be able ...

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site

$99K - $131K/yr

... Airflow, and Power BI for production-grade data solutions. * Mastery of AWS services (IAM, VPC ... Develop and maintain data engineering frameworks that support machine learning workflows and ...

Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or ... CI/CD & DevOps: Experience with Infrastructure as Code ( Terraform ), data build tool ( dbt ...

Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or ... CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing ...

Senior Forward Deployed Engineer- AWS

Tempe, AZ ยท On-site

$100K - $137K/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 ...

Lead Forward Deployed Engineer - AWS

Tempe, AZ ยท On-site

$98K - $129K/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 ...

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 ...

Showing results 41-60

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 cities in Arizona are hiring for Data Engineer Airflow jobs? Cities in Arizona with the most Data Engineer Airflow job openings:

Lead Engineer, Data Platforms

Dutchbros

Tempe, AZ โ€ข On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 15 days ago


Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview:
We are seeking a highly experienced and skilled Lead Engineer, Data to join our team. This individual will be responsible for modernizing, integrating, and optimizing Dutch Bro's foundational data ecosystem. This individual will play a crucial role in building world-class data platforms that power analytics, machine learning, and AI-driven workflows and will be responsible for designing and implementing highly scalable and resilient data infrastructure. The ideal candidate will have extensive experience in Snowflake database administration, data modeling, database migration, and is responsible for designing, building, and maintaining data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively. This is a great opportunity for someone who thrives in an evolving environment, is eager to learn, and is ready to contribute innovative ideas. If you're humble, hungry, and excited to grow your skills, we'd love to have you join our team!
Job Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related study, or 4 years of experience, required

  • 7+ years of data and/or software engineering experience, with at least 4 years focused on backend distributed systems or data infrastructure at scale.

  • Deep Engineering Roots: You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and SQL experience.

  • Hands-on expert-level knowledge and experience with Snowflake (Snowpipe, SnowSQL, replication, data-sharing), Airflow, and Power BI for production-grade data solutions.

  • Mastery of AWS services (IAM, VPC, Glue, S3, SFTP, Lambda, CloudWatch, SNS) , Gitlab CI/CD, DataDog Monitoring/alerting.

  • Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion, and DBT.

  • Expertisein implementing automated CI/CD pipelines, infrastructure as code, and fostering a unified engineering culture across disciplines.

  • Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines.

  • Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute-based data security.

  • Snowflake administration knowledge, preferred.

  • Knowledge and experience with Data Governance - Data Quality, Metadata management, Data Security, Data Archive is preferred.

  • Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights.

  • Excellent communication for conveying technical concepts to non-technical stakeholders.

  • Proven ability to work collaboratively in cross-functional teams.

  • Adaptable and proactive in learning new technologies in a dynamic data environment.

  • Strong time management skills to handle multiple projects and ensure high-quality deliverables.


Location Requirement:
This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, ID, KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY)
Key Result Areas (KRAs):

Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect, store, process, and analyze vast amounts of data efficiently and effectively:

  • Seamless Snowflake Implementation: Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar tools Optimized Data Pipelines: Design and enhance ETL/ELT pipelines and datatransformations for efficiency, supporting advanced analytics and real-time dataprocessing with technologies such as Kafka, fivetran, databricks , and Matillion or leveraging pyspark

  • High-Quality Data Models: Implement dimensional and data products to improve data accuracy and accessibility, enabling comprehensive ad-hoc analysis, reporting, and visualization

  • Advanced Analytics Support: Develop and maintain data engineering frameworksthat support machine learning workflows and complex data analyses, ensuring that data is readily available for actionable insights

  • Effective Communication and Collaboration: Articulate complex technical concepts clearly to non-technical stakeholders and collaborate effectively with cross-functional teams to drive project success and meet business objectives


Skills:

  • Data engineering

  • Functional Expertise

  • Data modeling

  • Data management and data governance

  • Leading by Influence

  • Detail-Oriented

  • Multitasking

Physical Requirements:

  • In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions.

  • Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

  • Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

  • Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

  • Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

  • Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

  • Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:

DOE

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!