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Data Engineer Airflow 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 ...

Purple Drive Technologies

Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

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

Drunix Solution Inc

Data Engineer

Glendale, CA

$121K - $145K/yr

... Airflow, Spark, Databricks, Delta Lake, and Snowflake • Collaborate with product managers ... of data engineering experience building large-scale pipelines ✔ Strong programming skills in ...

Purple Drive Technologies

GCP Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Job Posting : GCP Data Engineer We are seeking an experienced GCP Data Engineer with a strong ... Develop and automate workflows using Apache Airflow. * Collaborate with cross-functional teams to ...

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 ...

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 ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

AWS Glue, Apache Airflow • Version Control: Git • DevOps & CI/CD: Basic understanding of CI/CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation) JD: • Data Pipeline ...

INSPYR Solutions

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Data Engineer Location: Remote (California) ABOUT THIS FEATURED OPPORTUNITY We are seeking a Junior ... THE OPPORTUNITY FOR YOU Airflow pipeline overhaul * Build out of Athena Operator support for ...

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,

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 ...

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.

Purple Drive Technologies

AWS Data engineer

Owings, MD · On-site

$110K - $133K/yr

Overview: AWS Data Engineer Location: Owings Mills, MD - Hybrid Onsite (LOCAL CANDIDATES ONLY ... The ideal candidate will bring strong expertise in Python, PySpark, Apache Airflow, and AWS ...

OSI Engineering, Inc.

Data Engineer

Cupertino, CA · Hybrid

$52 - $67/hr

... Airflow, Snowflake, DBT, and AWS S3 • Strong Kubernetes and Docker experience, including ... data engineering and infrastructure responsibilities • Solid understanding of data modeling ...

RAPP

Data Engineer

Chicago, IL · On-site

$81K - $97K/yr

Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow . * Develop ... Proficiency in Python for data engineering and automation. * Familiarity with Apache Airflow for ...

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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 Jun 5, 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 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 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.

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.

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.
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Data Engineer Airflow jobs near you
Infographic showing various Data Engineer Airflow job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Python Data Engineer (Airflow, Kafka, Spark) - Q125

Python Data Engineer (Airflow, Kafka, Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python Data Engineer (Airflow, Kafka, Spark)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a proficient Python Data Engineer to build and manage data pipelines using Airflow, Kafka, and Spark. This role focuses on developing scalable ETL/ELT workflows for streaming and batch data processing.
Key Responsibilities
  • Design and implement data pipelines using Python with Airflow for orchestration and scheduling.
  • Integrate Kafka for streaming data and Spark for processing large-scale datasets.
  • Develop ETL/ELT workflows to transform and load data into storage or analytics systems.
  • Optimize pipelines for performance, reliability, and scalability in distributed environments.
  • Collaborate with data teams to ensure data quality and availability for downstream applications.
  • Monitor and troubleshoot data workflows to maintain seamless operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with Python, focusing on Airflow, Kafka, and Spark.
  • Proficiency in building ETL/ELT pipelines for streaming and batch data processing.
  • Experience with Kafka for real-time data streaming and Spark for distributed data processing.
  • Strong understanding of data engineering principles and pipeline automation.

Preferred Qualifications
  • Familiarity with alternative orchestration tools like Luigi for data workflow management.
  • Exposure to cloud platforms like AWS or GCP for hosting data pipelines.
  • Knowledge of monitoring tools like Grafana for pipeline observability.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, Airflow, Kafka, Spark, Data Engineer, ETL, ELT, Streaming

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