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Airflow Engineer Jobs (NOW HIRING)

About Your Role Data Airflow engineers the flow of data and air through complex infrastructure, delivering mission-critical data center cooling and related engineered systems. The Project Engineer ...

About Your Role Data Airflow engineers the flow of data and air through complex infrastructure, delivering mission-critical data center cooling and related engineered systems. The Project Engineer ...

About Your Role Data Airflow engineers the flow of data and air through complex infrastructure. The Microsoft Cloud Administrator owns and operates our all-cloud Microsoft environment, including ...

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134K - $161K/yr

Should be familiar with modern data platforms like Apache Presto or AWS Athena, and workflow tools like Apache Airflow. Engineers will write data collection scripts, aggregation algorithms, and ...

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134K - $161K/yr

Should be familiar with modern data platforms like Apache Presto or AWS Athena, and workflow tools like Apache Airflow. Engineers will write data collection scripts, aggregation algorithms, and ...

ETL Developer - Python & Airflow

Austin, TX · On-site

$49.75 - $68.50/hr

About the Role We are seeking a skilled ETL Developer with strong expertise in Python and Apache Airflow to design, build, and optimize scalable data pipelines. In this role, you will develop ...

New

We are seeking a Solution Developer to join our engineering team. This is a versatile role ... Build and monitor automated workflows and data pipelines using Airflow and dbt . * Design and ...

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Airflow Engineer information

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$12

$55

$80

How much do airflow engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for airflow engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

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.

More about Airflow Engineer jobs
What cities are hiring for Airflow Engineer jobs? Cities with the most Airflow Engineer job openings:
What states have the most Airflow Engineer jobs? States with the most job openings for Airflow Engineer jobs include:
Infographic showing various Airflow Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.

Apache Airflow Engineer

ExlService Holdings, Inc.

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 4 days ago


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

130th of 479 rated business services


Job description


We are seeking Apache Airflow migration resources to support a client initiative focused on migrating existing Cybermation-scheduled scripts to Apache Airflow. The resources will analyze the current Cybermation schedules, understand the existing shell/API invocation patterns, convert the schedules into Airflow DAGs, validate execution behavior, and support production deployment and handover.
The migration objective is to preserve the existing business execution behavior while improving schedule control, monitoring, logging, retry handling, operational visibility, and supportability through Apache Airflow.
Responsibilities
  • Analyze existing Cybermation job schedules, dependency patterns, runtime parameters, execution frequency, owners, success/failure behavior, and operational support expectations.
  • Review existing shell scripts and API/cURL invocation logic to determine the appropriate Airflow DAG design, task structure, error handling, and retry configuration.
  • Design, develop, and maintain Apache Airflow DAGs to orchestrate shell scripts, API calls, and dependent jobs with appropriate scheduling and operational controls.
  • Configure Airflow schedules, task dependencies, retries, logging, alerting hooks, variables, connections, parameters, and environment-specific configuration as per client standards.
  • Perform dry runs, unit testing, schedule validation, API response validation, failure/retry validation, and production-readiness checks for migrated jobs.
  • Create migration mapping, validation evidence, deployment notes, operational runbooks, and support handover documentation.
  • Coordinate with client SMEs, application owners, infrastructure teams, and release teams to support deployment, issue triage, initial run monitoring, and hypercare.

Qualifications
  • Bachelor's degree or equivalent experience in Computer Science, Information Technology, Engineering, or a related discipline.
  • 7+ years of overall engineering experience with hands-on Airflow, Python, and Linux/shell exposure.
  • Strong practical understanding of job scheduling, batch/workflow orchestration, production readiness, and operational support processes.

What ExlService Holdings employees say

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Hours and flexibility

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