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Data Engineer Airflow Jobs in Arizona (NOW HIRING)

kestra

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Utilize Apache Airflow and similar tools for orchestration and workflow automation. * Work with ... Expertise in data engineering and data warehousing, consistently delivering enterprise-grade ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ · On-site

$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 ...

1 point system

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Airflow / Cloud Composer * Python * SQL * Telecom/Contact center IVR * Agile environment and good communication skills

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$52 - $57/hr

Senior Data Engineer, AI & Data Platforms (Google Cloud) We are not accepting C2C or 1099 ... Python, PySpark, Apache Spark, Kafka, Flink, Airflow, Data Lakehouse AI & Agentic Technologies:

Eitacies Inc

Senior Data Platform Engineer

Phoenix, AZ · On-site

$100K - $135K/yr

Design and maintain Airflow DAGs for production data workflows * Develop and optimize Spark ... Strong Python programming skills * Production experience with Apache Spark PySpark * Experience ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... Experience managing data pipelines with tools like Apache Kafka, Apache Airflow, or similar ETL ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... Experience managing data pipelines with tools like Apache Kafka, Apache Airflow, or similar ETL ...

EITACIES Inc.

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Responsibilities : • Design and maintain Airflow DAGs for production data workflows • Develop ... Required : • 6+ years of data engineering experience • Strong Python programming skills • ...

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Utilize Apache Airflow and similar tools for orchestration and workflow automation. * Work with ... Expertise in data engineering and data warehousing, consistently delivering enterprise-grade ...

Donato Technologies, Inc

GCP Engineer

Phoenix, AZ · On-site

$56.50 - $75.25/hr

GCP Data Engineer certification is a big plus. * Hands-on experience in GCP Big Query, Orchestration using Composer and Airflow, etc. * Knowledge of Pub/Sub and Dataflow will be an advantage.

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · 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

Judge Group, Inc.

Software Engineer 4

Chandler, AZ · 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 ...

Donato Technologies, Inc

GCP Cloud Architect

Phoenix, AZ · On-site

... 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 ...

Dutch Bros. Coffee

Lead Engineer, Data Platforms

Tempe, AZ · 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 ...

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Showing results 21-40

All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Arizona

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 Arizona? For Data Engineer Airflow jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Arizona look for? The top searched job categories for Data Engineer Airflow jobs in Arizona are:
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Data Engineer Airflow jobs near you

Senior Data Platform Engineer

kestra

Tempe, AZ

$109K - $131K/yr

Full-time

Re-posted 28 days ago

Job description

Lead with Purpose. Partner with Impact. 

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity Catalog, and CI/CD automation are essential.

What you’ll Do:

  • Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform, ensuring reliability, scalability, and governance.
  • Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
  • Utilize Apache Airflow and similar tools for orchestration and workflow automation.
  • Work with financial or regulated datasets, applying strong compliance and governance practices.
  • Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks notebooks.
  • Design and optimize Delta Lake data models for reliability, performance, and scalability.
  • Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing.
  • Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables.
  • Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems.
  • Automate API ingestion and workflows using Python and REST APIs.
  • Support data governance, lineage, cataloging, and metadata initiatives.
  • Enable downstream consumption for BI, data science, and application workloads.
  • Write optimized SQL/T-SQL queries, stored procedures, and curated datasets for reporting.
  • Automate deployments, DevOps workflows, testing pipelines, and workspace configuration.

 

What You Bring: 

  • 8+ years of experience designing and developing scalable data pipelines in modern data warehousing environments, with full ownership of end-to-end delivery.
  • Expertise in data engineering and data warehousing, consistently delivering enterprise-grade solutions.
  • Proven ability to lead and coordinate data initiatives across cross-functional and matrixed organizations.
  • Advanced proficiency in SQL, Python, and ETL/ELT frameworks, including performance tuning and optimization.
  • Hands-on experience with Azure, Snowflake, and Databricks, and integration with enterprise systems.

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