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Data Engineer Apache Airflow Jobs (NOW HIRING)

AMB Sports & Entertainment

Data Engineer

Mercedes, TX

$107K - $129K/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 ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

... Apache Airflow or Google Composer • Detail-oriented and document all the work • Ability to work with others from diverse skill-sets and backgrounds • GCP Data Engineer/Solution architect ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Engineer

Atlanta, GA · On-site

$109K - $131K/yr

... Apache Airflow or Google Composer • Detail-oriented and document all the work • Ability to work with others from diverse skill-sets and backgrounds • GCP Data Engineer/Solution architect ...

ConnectedX Inc

Senior DATA ENGINEER

Plano, TX

$101K - $138K/yr

Data Engineer Highly experienced Data Engineer with expertise in cloud engineering, data ... Utilizes Apache Airflow for scheduling and monitoring data workflows to ensure timely data delivery.

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Job Title: Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ... Experience with ETL tools such as Apache Airflow, digdag, oozie. Experience with CI/CD processes ...

VTG

Data Engineer

Herndon, VA · On-site

$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 ...

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 ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

VTG

Data Engineer

Chantilly, VA · On-site

$118K - $142K/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 ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

... Apache Airflow, and ADF Oversee data ingestion and replication strategies using tools such as ... automation, DevOps practices, and version control for data pipelines and reporting assets ...

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 ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Architect and orchestrate data workflows using Databricks LakeFlow , Apache Airflow , and ADF ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

STScI

Senior Data Engineer

Baltimore, MD · On-site

$125K - $150K/yr

We are seeking a Senior Data Engineer to join our Data Management Division. We're looking for a ... Strong proficiency with Apache Airflow * Hands-on experience with AWS cloud services * Strong ...

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All JobsData Engineer Apache Airflow Jobs

Data Engineer Apache Airflow information

See salary details

$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

AMB Sports & Entertainment

Mercedes, TX

$107K - $129K/yr

Full-time

Posted 3 hours ago

Job description

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll partner closely with analysts and stakeholders to turn questions into durable data products, improve reliability and observability, and help standardize patterns that scale across teams. Success in this role looks like dependable pipelines, well-modeled data, and faster delivery of insights.

Responsibilities:

  • Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives
  • Build and optimize data models (dimensional, relational) across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data
  • Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation
  • Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics
  • Build and deploy serverless data solutions using Azure Functions for event-driven processing and microservice integrations
  • Design and implement data orchestration workflows using platforms such as Apache Airflow and/or Astronomer to ensure reliable, monitored, and scalable pipeline execution
  • Manage version control, CI/CD pipelines, and collaborative development workflows using Git-based platforms (GitHub, Azure DevOps)
  • Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into technical solutions
  • Implement data quality frameworks, monitoring, and alerting to ensure data integrity and reliability across the platform
  • Contribute to the evolution of the data platform architecture, advocating for best practices in performance, security, and scalability
  • Participate in code reviews to uphold engineering standards

Qualifications:

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent professional experience)
  • 3+ years of professional experience in data engineering or a related discipline
  • Strong relational database experience, including data modeling (star schema, snowflake schema, 3NF) and advanced SQL development (T-SQL, PL/SQL, or equivalent)
  • Proficiency in Python development for data engineering use cases (pandas, PySpark, API development, scripting, testing)
  • Hands-on experience with Databricks or Snowflake for data lakehouse/warehouse architecture and large-scale data processing
  • Experience building and deploying Azure Functions or similar serverless compute for data workflows
  • Working knowledge of Git-based platforms such as GitHub or Azure DevOps for version control, branching strategies, and CI/CD pipelines
  • Experience with data orchestration platforms such as Apache Airflow and/or Astronomer for pipeline scheduling, monitoring, and dependency management
  • Strong understanding of data warehousing concepts, ETL/ELT patterns, and data integration best practices
  • Excellent communication and collaboration skills with the ability to work cross-functionally in a fast-paced environment

Preferred Qualifications:

  • Industry certifications demonstrating proficiency in data engineering (e.g., Databricks Certified Data Engineer, Azure Data Engineer Associate DP-203, Snowflake SnowPro Core, Google Professional Data Engineer, AWS Data Engineer Associate)
  • Experience with a major cloud platform (Azure, AWS, or GCP) including infrastructure-as-code and cloud-native data services
  • Prior experience in sports, entertainment, media, or live events industries
  • Familiarity with streaming and real-time data technologies (Kafka, Event Hubs, Spark Structured Streaming)
  • Experience with data governance, cataloging, and lineage tools (Unity Catalog, Purview, Collibra)
  • Exposure to machine learning pipelines and MLOps practices
  • Experience with containerization (Docker, Kubernetes) and microservices architecture.

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