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Airflow Engineer Jobs (NOW HIRING)

CAYS Inc

Data Engineer

Jersey City, NJ

$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 ...

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

Collabera

GIS - Analyst

Mossville, IL

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 ...

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 ...

1 point system

Project Engineer

Blue Springs, MS · On-site

The Project Engineer will execute and manage paint booth modification projects, including structural improvements, airflow enhancements, contractor coordination, and project delivery within scope ...

Tata Consultancy Service Limited

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 ...

Pantar Solutions, Inc.

Data Engineer

San Francisco, CA

$134K - $162K/yr

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience ... S3, Glue, Airflow, SQL, Python, PySpark, Lambda, RDS, Redshift, EMR, and API Gateway Detailed ...

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.

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

... Airflow - Experience in Retail (preferred) --- ### Key Responsibilities - Design, develop, and ... engineers and lead design reviews/standups. - Groom and prioritize backlog using JIRA. - Act as ...

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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 Jun 20, 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 engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Airflow Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and certifications. These roles often involve working in large organizations, tech companies, or consulting firms and may include bonuses and stock options.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over a million dollars annually, often through a combination of salary, bonuses, and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach or exceed this income level, typically requiring extensive experience, advanced skills, and significant responsibility.

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.

What job makes $10,000 a month without a degree?

An Airflow Engineer can potentially earn $10,000 or more per month through specialized skills in data pipeline management, cloud platforms, and automation tools. High-paying roles often require extensive experience, technical certifications, and proficiency with tools like Apache Airflow, but they do not always require a formal degree. Success depends on expertise, project complexity, and industry demand.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Airflow engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-cost-of-living areas. These roles often require expertise in cloud platforms, automation tools, and leadership responsibilities.
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Airflow Engineer jobs near you
Infographic showing various Airflow Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.
Data Engineer

Data Engineer

CAYS Inc

Jersey City, NJ

$119K - $143K/yr

Other

Posted 22 days ago

Job description

Must have:
-Python
-Apache Airflow/DBT
-Communication, both written & verbal
-Kubernetes
-OpenShift
-8+ years of experience

Job Description

We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift).

This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.

The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.

Key Responsibilities:

Data Pipeline & Orchestration

  • Design, develop, and maintain complex Airflow DAGs for batch and event-driven data pipelines
  • Implement best practices for DAG performance, dependency management, retries, SLA monitoring, and alerting
  • Optimize Airflow scheduler, executor, and worker configurations for high-concurrency workloads

dbt Core & Data Modeling

  • Lead dbt Core implementation, including project structure, environments, and CI/CD integration
  • Design and maintain robust dbt models (staging, intermediate, marts) following analytics engineering best practices
  • Implement dbt tests, documentation, macros, and incremental models to ensure data quality and performance
  • Optimize dbt query performance for large-scale datasets and downstream reporting needs

Cloud, Kubernetes & OpenShift

  • Deploy and manage data workloads on Kubernetes / OpenShift platforms
  • Design strategies for workload distribution, horizontal scaling, and resource optimization
  • Configure CPU/memory requests and limits, autoscaling, and pod scheduling for data workloads
  • Troubleshoot container-level performance issues and resource contention

Performance & Reliability

  • Monitor and tune end-to-end pipeline performance across Airflow, dbt, and data platforms
  • Identify bottlenecks in query execution, orchestration, and infrastructure
  • Implement observability solutions (logs, metrics, alerts) for proactive issue detection
  • Ensure high availability, fault tolerance, and resiliency of data pipelines

Collaboration & Governance

  • Work closely with data architects, platform engineers, and business stakeholders
  • Support financial reporting, accounting, and regulatory data use cases
  • Enforce data engineering standards, security best practices, and governance policies

Required Skills & Qualifications:

Experience

  • 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles
  • Proven experience designing and supporting enterprise-scale data platforms in production environments

Must-Have Technical Skills

  • Expert-level Apache Airflow (DAG design, scheduling, performance tuning)
  • Expert-level DBT Core (data modeling, testing, macros, implementation)
  • Strong proficiency in Python for data engineering and automation
  • Deep understanding of Kubernetes and/or OpenShift in production environments
  • Extensive experience with distributed workload management and performance optimization
  • Strong SQL skills for complex transformations and analytics

Cloud & Platform Experience

  • Experience running data platforms on cloud environments
  • Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows

Preferred Qualifications

  • Experience supporting financial services or accounting platforms
  • Exposure to enterprise system migrations (e.g., legacy platform to modern data stack)
  • Experience with data warehouses (Oracle)
CAYS logo

About CAYS

Sourced by ZipRecruiter

CAYS – Consulting At Your Service, is a global Information Technology company that offers a portfolio of IT and consulting services to Fortune 500 companies allowing the companies to focus on their core business while we deliver quality services with significant cost savings. At CAYS, we believe in the concept of ‘for the people, by the people’. Our strength and success are built ‘by the people’ who work for us and deliver services ‘for the people’ who are our Clients who believe in us. We create an impact on our clients by addressing their current problems and provide leverage by foreseeing their future problems and providing effective solutions to them using our state-of-the-art technology and quality workforce. People from all cultures collaborate and work together providing a healthy and long-lasting working environment that helps retain good and exceptional talent.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

El Segundo, CA, US

Year founded

2015

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