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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

Equifax, Inc.

Senior Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

Experience scaling Airflow * Experience with dbt * DevOps / CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure * GCP Professional Data Engineer or ...

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 ...

Deloitte

Forward Deployed Engineer- AWS

Saint Louis, MO · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Forward Deployed Engineer- AWS

Kansas City, MO · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

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 ...

Equifax, Inc.

Financial Data Engineer

Saint Louis, MO · 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 ...

iQuasar LLC

Azure Cloud Engineer

Saint Louis, MO · 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 is an Airflow developer?

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.
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
Infographic showing various Airflow Developer job openings in Missouri as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

DevOps Engineer

FUGA

On-site

$40.75 - $55.75/hr

Other

Re-posted 18 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 datacenter  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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