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Airflow Developer Jobs in Allen, TX (NOW HIRING)

Senior Python Developer

Dallas, TX ยท On-site

$120K - $161K/yr

This Senior Python Developer with PL/SQL role bridges high-performance backend automation with ... Develop and maintain automated workflows, orchestrating jobs with Apache Airflow DAGs. * Migrate ...

SQL Developer

Dallas, TX ยท On-site

$44.75 - $61.25/hr

Schedule and monitor SSIS jobs via SQL Server Agent or AWS SSM/Airflow. * Collaborate with analysts and developers to design normalized/denormalized schemas and data marts. * Participate in code ...

SQL Developer

Dallas, TX ยท On-site

$44 - $60.25/hr

Schedule and monitor SSIS jobs via SQL Server Agent or AWS SSM/Airflow. * Collaborate with analysts and developers to design normalized/denormalized schemas and data marts. * Participate in code ...

Senior Data Engineer

Dallas, TX ยท On-site

$105K - $143K/yr

Senior Data Engineer with Snowflake Location: SFO, CA // Dallas, TX (Hybrid 2 days) Duration ... Develop, deploy, and manage data pipelines using Snowflake, SQL, dbt, and Airflow Build and ...

... DevOps collaboration . โญ Preferred Skills โœ… Machine Learning data pipelines & Feature Engineering. โœ… Airflow, Prefect, AWS Step Functions, or Azure Data Factory. โœ… Data Lake / Lakehouse ...

Lead Data Engineer

Lake Dallas, TX ยท On-site

$111K - $133K/yr

Develop and manage Apache Airflow DAGs, schedules, and monitoring for reliable data processing ... Jira, Azure DevOps, GitHub * Insurance, insurtech, healthcare, or financial services industry ...

New

Mechanical Engineer IV

Carrollton, TX ยท On-site

$118K - $155K/yr

Define system-level verification and validation plans, including airflow, capacity, sound, pressure ... Lead engineering activities in alignment with phase-gate and Independent Design Review processes ...

Lead Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Develop and manage Apache Airflow jobs, DAGs, and schedules to ensure reliable, observable, and ... Experience with DevOps, CI/CD, Infrastructure-as-Code, and MLOps practices supporting AI and data ...

Sr. Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

The Sr. Data Engineer will be part of the Data & AI Team. The Data & AI Team works very closely ... Design and implement workflow orchestration using Airflow / Cloud Composer for seamless data ...

Senior Data Engineer - INDIA

Prosper, TX ยท On-site

$97K - $131K/yr

Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable ... Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control ...

Mechanical Engineer IV

Carrollton, TX ยท On-site

$118K - $155K/yr

Define system-level verification and validation plans, including airflow, capacity, sound, pressure ... Lead engineering activities in alignment with phase-gate and Independent Design Review processes ...

Senior Data Engineer - INDIA

Prosper, TX ยท On-site +1

$97K - $131K/yr

Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable ... Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control ...

Showing results 21-40

Airflow Developer information

See Allen, TX salary details

$15

$49

$76

How much do airflow developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for airflow developer in Allen, TX is $49.15, according to ZipRecruiter salary data. Most workers in this role earn between $37.55 and $60.14 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 are popular job titles related to Airflow Developer jobs in Allen, TX?

For Airflow Developer jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Airflow Developer jobs in Allen, TX look for?

The top searched job categories for Airflow Developer jobs in Allen, TX are:

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

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

Senior Python Developer

Prophecy Technologies

Dallas, TX โ€ข On-site

$120K - $161K/yr

Full-time

Posted 7 days ago


Job description

Role Overview:
This Senior Python Developer with PL/SQL role bridges high-performance backend automation with robust relational database management. Operating within the banking domain, the successful candidate will build and scale data-driven financial applications, optimize complex transactional databases, and streamline extract-transform-load (ETL) data pipelines for critical systems like risk management, regulatory reporting, or payment processing.
Key Responsibilities:
  • Design, build, and optimize scalable financial microservices and REST APIs using FastAPI, Flask, or Django.
  • Process massive transactional datasets using numerical libraries like Pandas, NumPy, and PySpark.
  • Develop and maintain automated workflows, orchestrating jobs with Apache Airflow DAGs.
  • Migrate legacy scripting structures (e.g., Perl or Bash) into highly observable Python orchestration scripts.
  • Design, develop, and maintain complex Oracle SQL and PL/SQL packages, stored procedures, triggers, and functions.
  • Execute intensive database performance tuning using AWR reports, Explain Plans, and advanced indexing.
  • Manage data partitioning strategies (e.g., exchange partitions) to drastically cut data processing windows.
  • Build data structures ensuring rigorous data integrity, audit trails, and strict transaction handling.

Required Skills:
  • Advanced Python (OOP, multi-threading, asynchronous programming)
  • Oracle PL/SQL
  • Data Processing: Pandas, NumPy, PySpark, and enterprise ETL toolsets
  • Databases: Oracle Database 12c/19c (including deep knowledge of analytical functions and collections)
  • Messaging & Events: Apache Kafka, RabbitMQ, or IBM MQ
  • DevOps & Cloud: Git, CI/CD pipelines (Jenkins/GitLab), Docker, Kubernetes, and cloud environments like AWS or Snowflake
  • In-depth knowledge of Python software development, including frameworks, tools, and systems (e.g., NumPy, Pandas, SciPy, PyTorch)
  • Proficiency with front-end development technologies, such as HTML, CSS, and JavaScript
  • Familiarity with database tools such as SQL and NoSQL and their best practices
  • Excellent communication and team-building skills

Qualifications:
  • Minimum of 8+ years of professional software engineering experience, with at least 3 years inside a financial institution or banking tier.
  • Bachelor's degree in Computer Science, Financial Engineering, Management Information Systems, or a related field.