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Airflow Developer Jobs in Cibolo, TX (NOW HIRING)

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

... Airflow, AWS Step Functions, or similar. • Strong understanding of data modeling, ELT/ETL ... engineering and training data preparation. • Familiarity with feature stores, vector databases ...

AI Engineer III

San Antonio, TX · On-site

$120K - $140K/yr

... and DevOps automation is required * Experience with Trino, Superset, Starburst SQL Server, ETL tools, S3, Airflow, Iceberg, PySpark, or Hive preferred * Experience building financial services ...

AI Engineer III

San Antonio, TX · On-site +1

$120K - $140K/yr

... and DevOps automation is required * Experience with Trino, Superset, Starburst SQL Server, ETL tools, S3, Airflow, Iceberg, PySpark, or Hive preferred * Experience building financial services ...

Lead Forward Deployed Engineer - AWS

San Antonio, TX · On-site

$92K - $121K/yr

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 ...

... spaces, as either a developer, analyst, or engineer. Additionally, this role includes ... Apache Airflow Workloads via UI or CLI a plus * Experience with Mage AI a plus * Kubernetes, Docker ...

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Airflow Developer information

See Cibolo, TX salary details

$15

$48

$75

How much do airflow developer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for airflow developer in Cibolo, TX is $48.95, according to ZipRecruiter salary data. Most workers in this role earn between $37.40 and $59.90 per hour, depending on experience, location, and employer.

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 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 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.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

What cities near Cibolo, TX are hiring for Airflow Developer jobs?

Cities near Cibolo, TX with the most Airflow Developer job openings:

LEAD ENGINEER - PRINCIPAL ENGINEER - Avionics Thermal Design Engineer

SWRI

San Antonio, TX • On-site

Full-time

Re-posted 23 days ago


Job description

  • Lead thermal architecture for advanced avionics, ensuring electronics meet performance and reliability targets across worst-case mission environments (hot ramp, cold soak, high altitude).
  • Deliver flight-worthy, integratable thermal designs (conduction, convection, liquid/air cooling) that reduce risk, rework, and schedule impacts during integration and test.
  • Own end-to-end analysis and validation (CFD/FEA, derating, margins, qualification) to prove compliance with customer/airworthiness requirements and program commitments.
  • Drive DMSMS-aware modernization by selecting COTS/MIL-spec components and thermal solutions that improve sustainment, maintainability, and lifecycle cost.
  • Mentor teams and set technical standards for thermal design reviews, test readiness, and production transition, accelerating delivery of high-confidence avionics solutions.

  • Lead thermal trade studies for avionics (air/liquid cooling, conduction paths, materials), set margins, and resolve heat/airflow issues with electrical, mechanical, and systems teams.
  • Build/update CFD/FEA models, power maps, and derating analyses; document assumptions, sensitivities, and results to support rapid design decisions and integration readiness.
  • Support lab bring-up and troubleshooting-instrumentation, data review, root-cause of hot spots, and corrective actions for hardware and packaging changes.
  • Plan/execute thermal verification (TVAC/temperature rise, airflow tests), define test procedures, analyze results, and produce compliance evidence for reviews and airworthiness artifacts.
  • Drive design reviews and configuration control-approve drawings/BOM impacts, coordinate suppliers, and mentor engineers on thermal standards, best practices, and lessons learned.

  • Requires a Bachelors degree in Mechanical Engineering, Thermal Engineering, Mechatronics Engineering or related engineering degree with directly related experience.
  • 11+ years: Expert thermal engineering for avionics: heat transfer, thermal networks, component derating, and margining across flight and ground extremes; strong fundamentals plus practical packaging insight.
  • 11+ years: Advanced analysis skills: CFD/FEA (e.g., Flotherm/Icepak/ANSYS), model correlation, uncertainty/sensitivity studies, and turning results into clear design decisions and requirements.
  • 11+ years: Requirements-to-results driver: translate customer thermal/performance requirements into actionable design constraints, lead trades to meet SwRI design standards, and deliver verified thermal margin with clear compliance evidence.
  • 11+ years: Systems integration skills: partner across EE/ME/SE, manage interfaces and configuration, drive technical reviews, mentor engineers, and communicate effectively with customers and program leadership.
  • A valid/clear driver's license is required.