Senior Data Pipeline Engineer (Airflow)

St. Louis, MO, US • Posted 23 hours ago • Updated 7 hours ago

Contract W2

Contract Independent

Contract Corp To Corp

No Travel Required

Able to Sponsor

On-site

Depends on Experience

VDart, Inc.

Fitment

Dice Job Match Score™

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Job Details

Skills

Python Development
Apache Airflow
workflow orchestration
DAG design
Performance optimization
production data pipelines
operational workflows
CI/CD processes
DevOps practices
Airflow cluster administration
monitoring
Apache Airflow workflows
enterprise data pipelines
Senior Data Pipeline Engineer (Airflow)
Airflow DevOps Engineer

Summary

The Airflow DevOps Engineer is responsible for designing, maintaining, and optimizing data-driven workflows that support critical business operations. This role focuses on building and enhancing pipelines using Apache Airflow to ensure reliability, scalability, and operational efficiency. By combining strong technical expertise with an understanding of business processes, the engineer supports day-to-day orchestration needs while enabling long-term strategic initiatives.

This position requires a hybrid skill set across DevOps practices, automation, and data workflow management to drive continuous improvement and support data-driven decision making.

Key Responsibilities

Develop, optimize, and maintain Apache Airflow workflows (DAGs) to support enterprise data pipelines.
Apply strong Python development skills to improve performance, reliability, and maintainability of workflows.
Design dynamic DAG generation and identify inefficiencies in existing pipelines to enhance performance and scalability.
Support application teams by troubleshooting workflow issues and improving orchestration processes.
Assist with Airflow cluster administration, monitoring, and operational stability.
Implement automation and DevOps best practices to improve deployment, reliability, and workflow efficiency.
Collaborate with cross-functional teams to ensure data workflows align with business requirements.

Required Qualifications

Strong Python development experience.
Deep expertise with Apache Airflow and workflow orchestration.
Solid understanding of dynamic DAG design and performance optimization.
Experience supporting production data pipelines and operational workflows.
Familiarity with CI/CD processes and DevOps practices.
Experience with Airflow cluster administration and monitoring is preferred.
Strong troubleshooting and problem-solving skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10330808A
Position Id: 8892484
Posted 23 hours ago

Company Info

About VDart, Inc.

VDart, headquartered in Atlanta, GA, is a global leader in digital talent solutions and IT staffing, delivering top technology professionals to businesses worldwide. With a strong presence across North America, Europe and Asia, we specialize in helping organizations navigate complex technology landscapes with the right expertise.

Through a strategic, client-focused approach, we have placed over 20,000 professionals across key industries and advanced technology solutions. Whether placing top talent in cutting-edge roles or providing strategic digital workforce solutions, our network of 4,000 specialists across 13 countries is committed to excellence, agility and impact.

Backed by 18 years of industry experience, we go beyond staffing to build long-term partnerships that accelerate digital transformation and drive sustained growth. Whether you need a technology partner to fuel innovation or specialized workforce solutions to maintain a competitive edge, VDart delivers the right people, skills and mindset to create a lasting impact in a digital-first world.

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