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Airflow Engineer Jobs (NOW HIRING)

Workload Automation Engineer Location: Tampa, FL- Hybrid Onsite/Hybrid : 3 Days Onsite Role ... This role will focus on defining and implementing integration strategies, aligning Airflow with ...

Data Engineer

$150K - $220K/yr

Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized ... Enforce software engineering best practices: CI/CD, code reviews, automated testing, and ...

Installing tools and job scheduling or data workflow tools like Crontab or Apache Airflow * Programming experience with one or more programming languages * Python, object oriented programming ...

Data Engineer

Jersey City, NJ

$119.50K - $143.50K/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 ...

Lead Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

... Airflow related modules, APIs o Setting up Python scripts on DataLab, scheduling processes, connecting with DataLake, S3 etc. o Data Pipeline automation o Strong Python programming skills o Apache ...

Data Engineer

Irvine, CA · On-site

$122.90K - $147.60K/yr

Airflow / Astronomer * Data Engineering and pipeline orchestration * Experience with: * Spark performance tuning * Databricks platform administration * DAG design and enterprise orchestration * Data ...

.NET Architect / Data Engineer

Chicago, IL · On-site

$65.75 - $84.50/hr

Airflow DevOps & CI/CD * Azure DevOps * Jenkins * GitHub Actions * Docker * Kubernetes Required Qualifications * Bachelor's or Master's degree in Computer Science, IT, or related field * 12+ years of ...

New

GCP Data Engineer

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

Develop and automate workflows using Apache Airflow. * Collaborate with cross-functional teams to ... Apply DevOps principles for continuous integration and deployment (CI/CD) using GitHub and related ...

Data Engineer

Piscataway, NJ · On-site

$114.70K - $137.70K/yr

They are seeking a passionate and detail-oriented Data Engineer to build and maintain data ... Responsibilities : • Design, build, and maintain production-grade data pipelines in Airflow that ...

New

Data Engineer (Python)

Auburn Hills, MI · On-site

$108.40K - $130.10K/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 ...

Data Engineer

Piscataway, NJ · On-site

$114.70K - $137.70K/yr

They are seeking a passionate Data Engineer to build and maintain data pipelines that support their ... Responsibilities : • Design, build, and maintain production-grade data pipelines in Airflow that ...

New

Lead Data Engineer

Las Vegas, NV

$98.50K - $129.70K/yr

Hi Team, We are PHOTON , one of the world's largest Digital Platform Engineering Company providing ... Apache Airflow (DAG development, workflow orchestration) Snowflake Advanced SQL (complex queries ...

Data Engineer

O Fallon, MO · On-site

$100K - $140K/yr

Apache Airflow, Apache NiFi. • Programming: Java (Core), Python (for Airflow), Unix Shell Scripting. • Big Data/Storage: Apache Spark, MinIO, AWS S3. • Security: SSL/TLS, Certificate Management ...

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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 May 30, 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 May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 13% Physical, and 87% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.

Workload Automation Engineer

Thinklusive

Tampa, FL • Hybrid

Other

Posted 3 days ago


Job description

Job Title: Workload Automation Engineer

Location: Tampa, FL- Hybrid

Onsite/Hybrid : 3 Days Onsite

Role Overview

Senior-level Workload Automation Engineer to support the operationalization of AWS Airflow (MWAA) within an enterprise environment leveraging BMC Control M as the primary scheduling and SLA management platform.

This role will focus on defining and implementing integration strategies, aligning Airflow with existing enterprise standards, and establishing consistent monitoring, alerting, and operational procedures across a hybrid workload automation ecosystem.

________________________________________

Key Responsibilities

Define and implement the integration strategy between AWS Airflow (MWAA) and Control M, ensuring alignment with enterprise scheduling architecture and long-term roadmap

Establish and standardize monitoring, alerting, and operational support models for Airflow, consistent with existing Control M practices and SLA requirements

Integrate Airflow workflows into enterprise workload automation standards, procedures, and governance frameworks, including incident management and escalation processes

Enable centralized visibility and monitoring across Airflow and Control M, ensuring consistent operational oversight and reporting

Design and support hybrid orchestration patterns, coordinating workload execution across cloud-native (Airflow) and enterprise scheduling (Control M) platforms

Develop runbooks, operational procedures, and support documentation to ensure sustainable and scalable support models

Collaborate with IT Operations and Platform teams to define ownership boundaries and streamline operational workflows

Identify opportunities to reduce manual effort, improve reliability, and enhance SLA performance across workload automation platforms