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Data Engineer Airflow Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... Airflow • Strong SQL and Database skills • Solid experience with application development ... Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Required Skills: ✅ Google Cloud Platform (GCP) GCS DataProc BigQuery Composer / Airflow ✅ Strong experience with: PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years ... Snowflake * Apache Airflow * Azure Data Factory (ADF) * AWS Glue * Databricks * Git Secondary ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills * BS or MS degree in ... Hands on experience in GCP BigQuery, Orchestration using Composer and Airflow etc. * Knowledge of ...

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using ... Develop and manage Airflow DAGs via Cloud Composer * Orchestrate batch and streaming pipelines with ...

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles & Responsibilities • Design, develop, and maintain data architectures and ...

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

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

New

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 ...

Data Engineer

Globe, AZ

$108K - $130K/yr

In-depth knowledge of Data Engineering tools is preferred (Airflow, NiFi, Dataflow, AWS Glue) * Experience in ETL development and management * Experience in Data warehousing solutions (Snowflake ...

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 ...

GCP Data Engineer

Phoenix, AZ

$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 ...

Data Engineer II

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking a Data Engineer in the Incident Response Tooling team to design, develop and ... Proficiency with data flow solutions like Apache Nifi, Apache Airflow, AWS Glue, Azure Data Factory ...

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 ...

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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:

$113K - $136K/yr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data pipelines and automated data ingestion processes. The role involves developing and deploying cloud-based web applications primarily using AWS services.
Responsibilities:
• Build optimal cloud-based data pipeline in AWS
• Build automated data ingestion and ETL processes
• Develop and deploy cloud-based web applications
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Computer Engineering or Electrical Engineering with 5+ years of data engineering experience, Master's Degree is a plus
• 3+ years of experience with AWS cloud services: EC2, RDS, DynamoDB, Batch, EMR, Redshift
• 1+ years of Full-Stack web application development experience and User Interface (UI) design knowledge
• Experience with data pipeline and workflow management tools like Airflow
• Strong SQL and Database skills
• Solid experience with application development, testing and deployment processes and tools.
• Proficient in object-oriented/object function scripting languages: Python, Java, C++, JavaScript
• Experience with big data preprocessing and transformation tools and process
Preferred:
• 1+ year of experience in big data technologies (Cassandra, HBase, Spark, Hadoop, HDFS)
• Experience with Python web frameworks such as Django or Flask
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.