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Data Engineer Apache Airflow Jobs (NOW HIRING)

Apex Informatics

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Must haves: 5+ years of Data Engineering experience Hands-on experience with Apache Airflow for workflow orchestration Proficiency in Hadoop ecosystem (HDFS, Hive, MapReduce, etc.) Advanced skills in ...

UST

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

... Apache Airflow. • Monitor pipeline execution and troubleshoot failures. • Performance ... data scientists, analysts, and software engineers. • Support machine learning teams with high ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a Data Engineer to design, build, and maintain data infrastructure, ensuring ... as Apache Airflow, dbt, Prefect, or Dagster. • Work comfortably in cloud environments, with a ...

AceStack LLC

Snowflake Data Engineer

Chicago, IL

$118K - $141K/yr

Role: Snowflake Data Engineer Location: Chicago, IL (Local Prefers) Contract Experience Level 8+ ... Extensive experience with enterprise-grade orchestration tools (e.g., Apache Airflow)

InterSources

Data Engineer

Plano, TX

$110K - $132K/yr

Role:- Data Engineer Location:- Plano, TX Job Summary: We seek a skilled Data Engineer proficient ... Automate data processing tasks using scheduling tools like Apache Airflow or Luigi

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... as Apache Airflow, dbt, Prefect, or Dagster. • Work comfortably in cloud environments, with a ...

VTG

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable ...

VTG

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable ...

Prophecy Technologies

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Summary We are seeking a highly skilled Data Engineer to design, build, and maintain scalable ... Develop and maintain Apache Airflow DAGs for workflow scheduling and orchestration. * Use Hive ...

Massar Capital

Data Engineer

New York, NY · On-site

$150K - $200K/yr

... data models and pipelines. Additionally, our developers support live trading by maintaining ... Apache Airflow, Docker, Kubernetes * Strong design, debugging and problem-solving skills * Strong ...

Photon

Lead Data Engineer

Las Vegas, NV

$98K - $129K/yr

Design and implement scalable data pipelines using Apache Airflow ( experience with Airflow 3 is ... data engineering or related fields * Strong proficiency in: * Apache Airflow (DAG development ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

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

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data ... Design and implement data orchestration workflows using platforms such as Apache Airflow and/or ...

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All JobsData Engineer Apache Airflow Jobs

Data Engineer Apache Airflow information

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$44.5K

$129.7K

$177.5K

How much do data engineer apache airflow jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data engineer apache 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 a Data Engineer specializing in Apache Airflow?

A Data Engineer specializing in Apache Airflow is a professional who designs, builds, and manages data pipelines using Apache Airflow, an open-source workflow orchestration tool. They are responsible for automating, scheduling, and monitoring complex data workflows, ensuring data moves efficiently and reliably between systems. Their role often includes integrating Airflow with various data sources, optimizing data flows, and troubleshooting issues to maintain data quality and availability. This specialization requires strong programming skills, knowledge of ETL processes, and experience with cloud or on-premise data platforms.

What is the difference between Data Engineer Apache Airflow vs Data Engineer Luigi?

AspectData Engineer Apache AirflowData Engineer Luigi
Primary UseWorkflow orchestration and schedulingWorkflow management and pipeline automation
Required SkillsPython, SQL, cloud platforms, DAG designPython, SQL, pipeline scripting, task dependencies
Work EnvironmentCloud and on-premises data platformsOn-premises and cloud environments
Common CertificationsNone specific, but cloud and Python certifications helpfulNone specific, Python knowledge preferred

Both tools are used for workflow automation in data engineering, with Airflow being more popular for complex, scalable pipelines across cloud and on-premises environments, while Luigi is often used for simpler, Python-based workflows. The choice depends on project complexity and infrastructure needs.

What are some common challenges Data Engineers face when implementing Apache Airflow in production environments?

Data Engineers often encounter challenges such as managing Airflow's scalability when workflows grow in complexity, ensuring robust monitoring and alerting for failed tasks, and handling dependency management between different DAGs. Additionally, integrating Airflow with various data sources and maintaining security best practices can present hurdles. Collaborating effectively with data scientists and analysts to design maintainable, efficient pipelines is also key to long-term success in this role.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Apache Airflow, and why are they important?

To thrive as a Data Engineer with a focus on Apache Airflow, you need strong programming skills (typically in Python or SQL), data pipeline design experience, and a background in computer science or a related field. Familiarity with workflow orchestration tools like Apache Airflow, cloud platforms (AWS, GCP, or Azure), and data warehousing technologies is essential, along with certifications such as Google Cloud Professional Data Engineer or AWS Certified Data Analytics. Problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for building reliable, scalable, and maintainable data workflows that drive business insights and support data-driven decision-making.
Infographic showing various Data Engineer Apache Airflow job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Apex Informatics

Charlotte, NC • On-site

$111K - $134K/yr

Contractor

Posted 4 days ago

Job description

Job Title: Data Engineer
Contract: Ongoing contract (up to 24 months)
Location: Charlotte NC
Onsite / Hybrid / Remote: Hybrid- 3 days onsite
Interview Process: 2 rounds (virtual)- 1st is 30 minute technical with his lead, 2nd is cultural with HM.
Mission: To join the Information Security organization and be responsible for data ingestion, transformation, provisioning, and consumption.
Day to Day:
An employer is looking to add a Data Engineer to their team in either Charlotte (Uptown location), Phoenix (Chandler location), or Dallas (Westlake, TX 76262) on a 3 days onsite, 2 days remote basis. This person will be joining the Information Security organization and be responsible for data ingestion, transformation, provisioning, and consumption. They will build and maintain scalable and efficient data pipelines to support data processing and analytics, develop and manage ETL processes to integrate data from various sources into a central repository, and use Apache Airflow to create and manage complex workflows and ensure timely execution of data jobs. They will optimize data processing workflows and database queries for performance and scalability, monitor data pipelines and systems to ensure reliability, data quality, and performance, and also create and maintain comprehensive documentation for data processes, workflows, and systems. Additionally, strong communication and collaboration skills are a "must" since they will work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Must haves:
5+ years of Data Engineering experience
Hands-on experience with Apache Airflow for workflow orchestration
Proficiency in Hadoop ecosystem (HDFS, Hive, MapReduce, etc.)
Advanced skills in Python for data processing and ETL tasks
Strong experience with PySpark for large-scale data processing
Deep understanding of relational databases (e.g., MySQL, PostgreSQL) and SQL
Experience with Git and GitHub for version control and collaboration
Plusses:
Experience working in a GCP environment (client is currently on-prem but looking to get into the cloud)

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