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Airflow Developer Jobs in Missouri (NOW HIRING)

FUGA

$40.75 - $55.75/hr

About the Role We're looking for a DevOps Engineer. Over the years, we've built a substantial ... Airflow, HAProxy, Nginx, Linux

Third-Party Job Posts

Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale. * Software Engineering Rigor: Strong background in Python, distributed ...

FUGA

$81K - $111K/yr

Senior Data Engineer FUGA is a subsidiary of Downtown Music Holdings and provides forward-thinking ... Build, maintain, and own data pipelines with Python, GCP, BigQuery, Airflow, dbt, and Spark

Jobgether

$88K - $106K/yr

As a Data Engineer, you will design, develop, and maintain scalable data pipelines that transform ... Develop and manage AWS Lambda functions, Airflow workflows, and orchestration processes to ensure ...

Kohl's

$112K - $148K/yr

Role Specific Information About the Role As Senior Software Engineer, you will collaborate closely ... Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Kohl's

$97K - $132K/yr

Role Specific Information About the Role As Senior Data Engineer, you will lead the development and ... Experience using Airflow/Cloud Composer/Dagster for orchestration, transformation and CI/CD ...

Equifax, Inc.

Financial Data Engineer

Saint Louis, MO ยท On-site

$111K - $133K/yr

Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer ... engineering deliverables within an Agile framework * Orchestrate automated data workflows and ...

McClure Engineering

Mechanical Engineer

Saint Louis, MO ยท On-site

McClure Engineering is currently seeking a Mechanical Engineer to work alongside other talented ... airflow and pressure drop calculations, equipment sizing, system design and layout ยท Collaborate ...

iQuasar LLC

Azure Cloud Engineer

Saint Louis, MO ยท On-site

$54 - $72.25/hr

... tool such as Airflow or Oozie * Strong programming foundation with python or java * Strong ... Familiar with devOps process, CI/CD, security, coding standard and SDLC cycle Preferred:

IQUASAR LLC

Azure Cloud Engineer

Saint Louis, MO ยท On-site

$54 - $72.25/hr

... tool such as Airflow or Oozie * Strong programming foundation with python or java * Strong ... Familiar with devOps process, CI/CD, security, coding standard and SDLC cycle Preferred:

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Airflow Developer information

What are Airflow Developers?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

What are the key skills and qualifications needed to thrive as an Airflow Developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow Developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
What are popular job titles related to Airflow Developer jobs in Missouri? For Airflow Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Airflow Developer jobs in Missouri look for? The top searched job categories for Airflow Developer jobs in Missouri are:
Airflow Developer jobs near you
DevOps Engineer

DevOps Engineer

FUGA

On-site

$40.75 - $55.75/hr

Other

Re-posted 27 days ago

Job description

About the Role

We're looking for a DevOps Engineer.

Over the years, we've built a substantial hybrid platform across GCP and our co-located datacenterย  supporting a large, evolving application landscape. While the foundation is solid, the growth has been organic, and we now face the challenge of consolidating, refining, and extending what we've built while maintaining the platform.

Your role will focus on reorganizing and improving the platform: making it more stable, cost-effective, secure, and easier for engineers to build on. You'll work on infrastructure architecture, access controls, observability, CI/CD pipelines, and platform tooling.

We're looking for someone who's curious, pragmatic, and comfortable navigating ambiguity. Someone who can look at a convoluted setup and say, "Alright, let's make sense of this" and then steadily move it forward.

Key Responsibilities
  • Build and manage infrastructure across GCP and on-premise environments, where hands-on experience in data center setups is preferred.
  • Own and enhance our Kubernetes, Terraform and CI/CD workflows (GitHub Actions, Helm, Artifact registries)
  • Support cost optimization efforts and help restructure cloud infrastructure for better scalability and efficiency
  • Maintain and improve platform security (IAM, network), backups, disaster recovery and compliance-readiness
  • Implement and maintain monitoring, logging, and alerting with tools like Prometheus, Grafana, Elastic stack and Nagios where experience with the Elastic stack is critical.
  • Collaborate with development and data teams to help them better utilize the platform (e.g., Kubernetes, Docker, GCP)
  • Contribute to a culture of ownership, reliability and an overall engineering mindset
Tech Stack

You don't need to know everything listed, but solid experience with a fair share of this stack is expected:

  • Cloud: Google Cloud Platform (GCP)
  • Containers and orchestration: Docker, Kubernetes, Helm
  • Infra as Code / configuration management: Terraform, Ansible
  • CI/CD: GitHub Actions, GCR / Nexus / Ruby-in-a-box, templated pipelines
  • Monitoring and logging: Prometheus, Grafana, Elastic stack, Nagios
  • Data Storage: MariaDB, Redis, PostgreSQL, Kafka, Ceph

Other tools: Airflow, HAProxy, Nginx, Linux

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