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Airflow Developer Jobs in Texas (NOW HIRING)

Integrass

ETL Developer - Python & Airflow

Austin, TX · On-site

$49.75 - $68.50/hr

About the Role We are seeking a skilled ETL Developer with strong expertise in Python and Apache Airflow to design, build, and optimize scalable data pipelines. In this role, you will develop ...

Catalyst Brands

Lead Engineer -DevOps

Dallas, TX · On-site

$103K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

While current platforms include MicroStrategy, Snowflake, AWS, Airflow, and Tableau, this role requires a proactive, adaptable engineer who can continuously learn, evaluate, and integrate new tools ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

Sumeru Solutions

Snowflake DBT Developer

Houston, TX · On-site

$80/hr

RH ID 683543 DBT Snowflake developer Location Houston TX Day 1 onsite Pay Rate $80/hr Client ... JS, Airflow (Scheduled Job) - Python - Containers, OpenShift API knowledge Security Aspects (SSO ...

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Proficiency in Python scripting and programming using Pandas, PyParsing, Airflow. o Pandas, Tableau server modules, NumPy, Datetime, Apache Airflow related modules, APIs o Setting up Python scripts ...

Sagent

Devops Engineer SR

Dallas, TX

$128K - $165K/yr

Maintain and extend Azure DevOps CI/CD pipelines using shared Terraform templates with multi ... Dataproc (Spark), Cloud Composer (Airflow), BigQuery, Pub/Sub * Familiarity with OPA/Rego or ...

Laiba Technologies LLC

Databricks Developer

Plano, TX · On-site

Hi, Job Title: Sr. Databricks Developer Location: Columbus, OH or Plano, TX - 5 Days onsite role ... Experience with Airflow, Azure Data Factory, or Databricks Workflows * Knowledge of Kafka or ...

New

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

... Apache Airflow, Spark, Ray, MLflow, Chronon, etc. What you'll be doing * Lead the design and ... DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems

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All JobsAirflow Developer JobsAirflow Developer Jobs in Texas

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 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 Texas?

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

What job categories do people searching Airflow Developer jobs in Texas look for?

The top searched job categories for Airflow Developer jobs in Texas are:

What cities in Texas are hiring for Airflow Developer jobs?

Cities in Texas with the most Airflow Developer job openings:

Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

ETL Developer - Python & Airflow

Integrass

Austin, TX • On-site

$49.75 - $68.50/hr

Other

Posted 19 days ago

Job description

About the Role

We are seeking a skilled ETL Developer with strong expertise in Python and Apache Airflow to design, build, and optimize scalable data pipelines. In this role, you will develop production-ready workflows, ensure pipeline reliability, and collaborate with data teams to support business needs.

Responsibilities

·        Develop, test, and deploy Python-based ETL pipelines using Apache Airflow.

·        Write efficient, reusable Python scripts for transformations, validations, and data quality checks.

·        Manage scheduling, orchestration, and monitoring of workflows in Airflow.

·        Collaborate with data engineers and analysts to design pipelines aligned with business requirements.

·        Troubleshoot, optimize, and scale existing ETL jobs.

·        Implement best practices for code quality, testing, and CI/CD integration.

·        Contribute to documentation, observability, and knowledge sharing.

Required Skills

·        Strong experience with Python (pandas, SQLAlchemy, or similar libraries for ETL).

·        Proficiency with Apache Airflow DAG design, task orchestration, and operators.

·        Hands-on experience with dependency/environment management (pipenv, poetry, or conda).

·        Solid knowledge of SQL and relational databases.

·        Understanding of data modeling and transformation patterns (star schema, SCDs, etc.).

·        Familiarity with Git workflows and CI/CD pipelines.

·        Ability to work independently and collaboratively in a fast-paced environment.

Nice to Have

·        Cloud platform experience (AWS, Google Cloud Platform, or Azure) for pipelines and storage.

·        Familiarity with containerization tools (Docker, Kubernetes).

·        Exposure to data warehouses (Snowflake, BigQuery, Redshift).

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