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Data Engineer Airflow Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration Overall Experience: 8+ years of relevant experience JOB REQUIREMENTS - The Senior Data Engineer & Technical Lead (SDET Lead ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer Location: Princeton, NJ, USA Mandatory Skills: Key Skills & Technologies ... Data Tools: Apache Spark, Pandas, PySpark, Airflow * Databases: PostgreSQL, MySQL, NoSQL (e.g ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ) Duration: 6 to 12+ Months Rate: DOE Bachelor or master's degree in computer science, Software Engineering, or a ...

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$210 - $250/hr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... We're looking for a Senior Software Engineer to join our Airflow Infra team, part of Astro, our ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

OperAxis is a company seeking a Data Engineer to join their team. The role involves designing and ... Responsibilities : • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache ...

Inficare Technologies

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Duration: Long term Skills - Python, Pyspark, GCP, ETL-Big ... GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,

Astronomer

$210 - $250/hr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... We're looking for a Senior Software Engineer to join our Airflow Infra team, part of Astro, our ...

4pconsultinginc

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services. The ideal ... Hands-on experience with Spark, Hive, and Airflow.

Apex Informatics

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required ... SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

ECS

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel. * Performs data preparation tasks including ...

Themesoft Inc

Data Engineer

Chandler, IN · On-site

$82.66 - $137.76/hr

... data engineering including hands-on experience working with Cloud data solutions: creating ... Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer * Hands-on experience ...

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All JobsData Engineer Airflow Jobs

Data Engineer Airflow information

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$44.5K

$129.7K

$177.5K

How much do data engineer airflow jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer airflow in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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Data Engineer Airflow jobs near you
Infographic showing various Data Engineer Airflow job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Software Engineer - Airflow Infrastructure, NYC

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Manhattan, NY • On-site

$210 - $250/hr

Other

Posted 6 days ago

Key responsibilities

  • Engineer backend services with high quality, maintainable and well tested code.

  • Optimize the performance, reliability and scalability of existing backend services.

  • Participate in on-call rotation, troubleshoot and debug to solve incidents.

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

About this role:

At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software.

We’re looking for a Senior Software Engineer to join our Airflow Infra team, part of Astro, our flagship cloud platform. You’ll be building the critical layer that connects the open-source Airflow ecosystem to enterprise-grade, massively scalable cloud infrastructure. Your work will directly influence how global organizations orchestrate data pipelines at scale—making them faster, more reliable, and easier to manage.

If you’re driven by impact, excited by scale, and ready to work on the kind of infrastructure challenges that push the boundaries of what’s possible in cloud-native systems, this is the opportunity you’ve been waiting for.

Hybrid Work Model: For this role, you will embrace a flexible hybrid work model with at least 3 days per week in our New York City office.

What you get to do:
  • Engineer backend services with high quality, maintainable and well tested code.
  • Partner with other engineers, product, customer reliability support, and leadership to achieve business goals and define how our systems should evolve.
  • Regularly engage in code reviews and provide constructive feedback.
  • Optimize the performance, reliability and scalability of existing backend services.
  • Investigate, prototype and propose ideas to improve user experience.
  • Create and maintain technical documentation for systems and processes, ensuring clarity and accessibility.
  • Participate in on-call rotation, troubleshoot and debug to solve incidents.
What you bring to the role:
  • 5+ years of experience building and delivering SaaS products.
  • Strong proficiency in Python or Golang.
  • Hands-on experience with Kubernetes.
  • Solid understanding of and experience with integrating with RESTful APIs and distributed systems.
  • Comfortable with testing frameworks, such as pytest.
  • Strong communication skills, both written and verbal, with experience in creating technical specifications.
  • A passion for reliability and operational excellence.
  • Ability to scope work and coordinate cross-functionally to address risks and ensure successful delivery.
  • Experience with software development best practices, such as code reviews, testing, CI/CD, version control, automation and debugging.
  • Ability to adjust to change and rapid pace of development.
  • Proactive approach to identifying and addressing issues, with a focus on ownership and accountability.
Bonus points if you have:
  • Experience with Apache Airflow

The estimated salary for this role ranges from $210,000 - $250,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.

#LI-Fulltime

#LI-Hybrid

At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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