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Data Engineer Airflow Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer Location: Princeton, NJ, USA Mandatory Skills: Key Skills & Technologies ... Data Tools: Apache Spark, Pandas, PySpark, Airflow * Databases: PostgreSQL, MySQL, NoSQL (e.g ...

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 ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

OperAxis is a company seeking a Data Engineer to join their team. The role involves designing and ... Responsibilities : • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache ...

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,

ECS

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel. * Performs data preparation tasks including ...

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.

Apex Informatics

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required ... SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

Tata Consultancy Service Limited

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

... Airflow / Astronomer DAG design, enterprise orchestration, reliability • Data Engineering pipeline design, data quality, scalability • DevOps CI/CD, infrastructure as code, automation • ...

VTG

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar * Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Requirement - GCP Data Engineer Location- Bentonville, Arkansas Contract W2 KEY RESPONSIBILITIES ... Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow

SWITS DIGITAL Private Limited

Data Engineer - GCP

$117K - $140K/yr

Data Engineer - GCP Location: Denver, CO (Remote) Job Summary The client is seeking a highly ... Orchestrate workflows using Cloud Composer (Apache Airflow) * Manage data storage and lifecycle ...

VTG

Data Engineer

Herndon, VA

$117K - $141K/yr

Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar * Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming ...

HCL Global Systems Inc

Data Engineer

Smithfield, RI · On-site

$110K - $132K/yr

... Airflow and/or Control?M. • Creating and managing CI/CD pipelines using GitHub and Jenkins. • ... scale data engineering or platform solutions. • Strong hands-on experience building and ...

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Showing results 21-40

All JobsData Engineer Airflow Jobs

Data Engineer Airflow information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer airflow jobs pay per year?

As of Aug 27, 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 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.

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Data Engineer Airflow jobs near you
Infographic showing various Data Engineer Airflow job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% 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.

Data Engineer

Princeton, NJ • On-site

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

$120K - $144K/yr

Contractor

Re-posted 12 days ago

Job description

Job Title: Data Engineer
Location: Princeton, NJ, USA
 
Mandatory Skills: 
 
Key Skills & Technologies
• Programming Languages: Python (primary), SQL
•Cloud Platforms: AWS (S3, Glue, Lambda, Redshift, EC2, EMR)
•Data Tools: Apache Spark, Pandas, PySpark, Airflow
•Databases: PostgreSQL, MySQL, NoSQL (e.g., DynamoDB)
•ETL & Workflow Orchestration: 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 Development - Design, build, and maintain scalable and reliable data pipelines to ingest, process, and transform data from various sources.
• Data Integration & Management - Integrate structured and unstructured data from internal and external systems.
•Ensure data quality, consistency, and availability across platforms.
• Cloud-Based Data Engineering- Leverage AWS services (e.g., S3, Lambda, Glue, Redshift, EMR) to build cloud-native data solutions.
•Optimize cloud resources for performance and cost-efficiency.
• Programming & Automation - Use Python for data manipulation, ETL workflows, and automation of data tasks.
•Develop reusable scripts and modules for data processing.
• Collaboration & Stakeholder Engagement
•Work closely with data scientists, analysts, and business teams to understand data needs.
•Translate business requirements into technical solutions.
• Monitoring & Optimization - Monitor data pipelines and troubleshoot issues proactively.
•Continuously improve performance, scalability, and reliability of data systems