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Airflow Engineer Jobs in Arizona (NOW HIRING)

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Utilize Apache Airflow and similar tools for orchestration and workflow automation. * Work with ... Automate deployments, DevOps workflows, testing pipelines, and workspace configuration. What You ...

Software Engineer

Phoenix, AZ · On-site

$64.53 - $69.53/hr

Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap ... Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer Hands-on experience ...

New

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Utilize Apache Airflow and similar tools for orchestration and workflow automation. * Work with ... Automate deployments, DevOps workflows, testing pipelines, and workspace configuration. What You ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud ...

Software Engineer

Phoenix, AZ · On-site

$49 - $53/hr

Create and maintain streaming and batch data pipelines using technologies such as Spark, Kafka, Flink, and Airflow. * Partner with principal engineers, product managers, and data engineering teams to ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building ... BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud ...

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Data Engineer - Google Cloud Platform (Contingent Assignment) We are not accepting C2C or 1099 ... Apache Airflow * SQL * Google Cloud Storage * BigQuery * Dataproc * Cloud Composer * Experience ...

Commercial Engineer

Phoenix, AZ · On-site

$76K - $103K/yr

The Commercial Engineer requires an in-depth understanding of electrical power generation design ... This may include airflow, thermal dynamics, and acoustic solutions. * Participate in job walks ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

... Airflow, or similar), observability, monitoring, lineage, and data quality frameworks ... engineering productivity while maintaining trust, accuracy, and governance. * Familiar with ...

Senior Forward Deployed Engineer- AWS

Tempe, AZ · 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 ...

Showing results 41-60

Airflow Engineer information

What is the difference between Airflow Engineer vs Data Engineer?

AspectAirflow EngineerData Engineer
CredentialsOften requires knowledge of Python, SQL, and cloud platformsRequires similar skills plus database management and ETL experience
Work EnvironmentFocuses on designing and maintaining workflows in data pipelinesBuilds and manages data infrastructure and pipelines
Industry UsageCommon in data-driven companies, analytics teams, and cloud servicesUsed across industries for data integration, storage, and processing

While both roles involve data workflows, an Airflow Engineer specializes in creating and managing workflows using Apache Airflow, whereas a Data Engineer handles broader data infrastructure and pipeline development. The roles often overlap, but the Airflow Engineer focuses more on workflow orchestration within the data ecosystem.

What cities in Arizona are hiring for Airflow Engineer jobs?

Cities in Arizona with the most Airflow Engineer job openings:

Senior Data Platform Engineer

kestra

Tempe, AZ • On-site

$109K - $131K/yr

Full-time

Re-posted 4 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.