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Data Engineer Airflow Jobs in New York (NOW HIRING)

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Must have: -Python -Apache Airflow/DBT -Communication, both written & verbal -Kubernetes -OpenShift -8+ years of experience We are seeking a highly skilled Senior Data Engineer with 8+ years of hands ...

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Orchestrate workflows with Cloud Composer (Airflow) * Lead data migrations from Snowflake/AWS to ... GCP Certification (Professional Data Engineer required) * 5+ years in data engineering with strong ...

Kanak Elite Services Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby ... Python * - Spark, Hive, Airflow Preferred Skills: * - Cloud data platforms (AWS/GCP/Azure ...

Courier Health

Data Engineer

New York, NY

$120K - $150K/yr

About the Team You'll join an early and growing data engineering team that's shaping the ... Estuary Flow, Debezium/Kafka, Airflow), a cloud data warehouse (ex. Redshift), a BI tool (ex. Sigma ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

You will bring engineering rigour to data -- treating pipelines, models, and infrastructure as ... Design, build, and maintain production-grade data pipelines in Airflow that ingest data from ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

You will bring engineering rigour to data - treating pipelines, models, and infrastructure as ... Design, build, and maintain production-grade data pipelines in Airflow that ingest data from ...

United Airlines

Data Engineer

Manhattan, NY

$126K - $151K/yr

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions (Gen2), Cloud Composer (Airflow), Cloud Storage, Cloud SQL Programming: Python (advanced) Query Language: SQL (advanced) Data Processing: Batch ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions (Gen2), Cloud Composer (Airflow), Cloud Storage, Cloud SQL • Programming: Python (advanced) • Query Language: SQL (advanced) • Data ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and ... Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in ... Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS ...

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

Build and manage workflow orchestration using Apache Airflow. * Develop cloud-native data solutions ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in New York

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 New York?

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

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

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

What cities in New York are hiring for Data Engineer Airflow jobs?

Cities in New York with the most Data Engineer Airflow job openings:

Data Engineer Airflow jobs near you
Infographic showing various Data Engineer Airflow job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Software Engineer, Airflow Infrastructure

Sierra Ventures

Manhattan, NY • On-site

$200 - $230/hr

Other

Posted 16 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.

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, Golang and 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 $200,000 - $230,000 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.

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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