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Data Engineer Airflow Jobs in Delaware (NOW HIRING)

Donato Technologies, Inc

Python Pyspar

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language * Expert proficiency in PySpark, including Spark ... Experience with data pipeline tools such as Airflow, Kafka, and Jenkins. * Design principles that ...

Zentek Infosoft Inc.

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language * Expert proficiency in PySpark, including Spark ... Experience with data pipeline tools such as Airflow, Kafka, and Jenkins. * Design principles that ...

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

Expert proficiency in Python programming language Expert proficiency in PySpark, including Spark ... and tools Experience with data pipeline tools such as Airflow, Kafka, and Jenkins. Design ...

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

PySpark, including Spark SQL and other Spark APIs Expert proficiency in Python programming language ... and tools Experience with data pipeline tools such as Airflow, Kafka, and Jenkins. Design ...

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

Work with product managers, data scientists, ML engineers, and other stakeholders to understand ... tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Delaware

Data Engineer Airflow information

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.

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 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.

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 are popular job titles related to Data Engineer Airflow jobs in Delaware?

For Data Engineer Airflow jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Engineer Airflow jobs in Delaware look for?

The top searched job categories for Data Engineer Airflow jobs in Delaware are:

What cities in Delaware are hiring for Data Engineer Airflow jobs?

Cities in Delaware with the most Data Engineer Airflow job openings:

Data Engineer Airflow jobs near you
Infographic showing various Data Engineer Airflow job openings in Delaware as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Python Pyspar

Donato Technologies, Inc

Wilmington, DE • On-site

$48.75 - $67.25/hr

Other

Re-posted 29 days ago

Job description

Python Pyspark
Wilmington DE
Experience: 10+ Years
  • Expert proficiency in Python programming language
  • Expert proficiency in PySpark, including Spark SQL and other Spark APIs
  • Testing and debugging applications with Python test framework tools like Pytest,PyUnit, etc
  • In-depth knowledge of Python frameworks and libraries, such as Django or Flask
  • Experience with AWS cloud platforms including services like S3, Databricks, and Data Lake Storage
  • Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools
  • Experience with data pipeline tools such as Airflow, Kafka, and Jenkins.
  • Design principles that are executable for a scalable app

Qualification:
  • A bachelor's degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.
  • Strong knowledge of cloud concepts, architecture patterns, and best practices
  • Proven experience in designing, implementing, and maintaining AWS solutions
  • Effective communication and teamwork skills, including the ability to collaborate with cross-functional teams
  • Strong problem-solving and analytical abilities