1

Airflow Jobs in Texas (NOW HIRING)

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 ...

Lab Valve Technician

Houston, TX

$18.25 - $24/hr

Perform airflow calibration using certified airflow measurement equipment and coordinate with Test & Balance (TAB) contractors during system commissioning. * Diagnose and repair complex laboratory ...

Lab Valve Technician

Houston, TX

$18.25 - $24/hr

Perform airflow calibration using certified airflow measurement equipment and coordinate with Test & Balance (TAB) contractors during system commissioning. * Diagnose and repair complex laboratory ...

Lab Valve Technician

Houston, TX · On-site

$25 - $35/hr

Perform airflow calibration using certified airflow measurement equipment and coordinate with Test & Balance (TAB) contractors during system commissioning. * Diagnose and repair complex laboratory ...

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 ...

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Develop, deploy, and manage data pipelines using Snowflake, SQL, dbt, and Airflow Build and maintain REST APIs and microservices using Python, FastAPI, and Flask (Optional) Work with Salesforce Data ...

AWS Data Engineer

Austin, TX · On-site

$50 - $60/hr

Experience with Python, Airflow, S3, Spark(Glue, EMR), Kafka (SQS, Event Bridge), Integration(AppFlow, APIs), AWS Services, Redshift, EMR, DW Concepts & Data Modeling. * Utilize AWS services ...

New

Senior Data Platform Engineer

Austin, TX · On-site

$105K - $143K/yr

Design and maintain Airflow DAGs for production data workflows * Develop and optimize Spark / PySpark jobs on Dataproc * Build and optimize complex SQL transformations * Develop REST APIs using ...

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Design and maintain Airflow DAGs for production data workflows * Develop and optimize Spark / PySpark jobs on Dataproc * Build and optimize complex SQL transformations * Develop REST APIs using ...

next page

Showing results 1-20

Airflow information

What is an Airflow job?

An Airflow job typically involves designing, developing, and maintaining workflows using Apache Airflow, an open-source workflow automation tool. Professionals in this role create data pipelines, schedule tasks, and optimize workflow execution for reliability and efficiency. They work with data engineering teams to ensure smooth data processing and integration across various systems. Knowledge of Python, DAG creation, and troubleshooting Airflow issues is essential for success in this role.

What are the typical responsibilities of someone working with Apache Airflow?

Professionals working with Apache Airflow are primarily responsible for designing, developing, and maintaining data pipelines that automate the flow of information between systems. Their daily tasks often include writing and optimizing DAGs (Directed Acyclic Graphs), monitoring workflow execution, troubleshooting errors, and ensuring data quality across processes. They frequently collaborate with data engineers, analysts, and other IT teams to integrate new data sources and support evolving business needs. This role demands a proactive approach to addressing data pipeline issues and a strong commitment to maintaining reliable and efficient workflow orchestration.

What are the key skills and qualifications needed to thrive in the Airflow position, and why are they important?

To thrive as an Apache Airflow Engineer, you need a solid background in Python programming, workflow orchestration, and data engineering concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly beneficial, along with relevant certifications in big data or cloud technologies. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for managing complex workflows and collaborating with cross-functional teams. These skills ensure efficient data pipeline automation, maintain data integrity, and enable seamless cooperation in modern data-driven environments.

What are the roles in Airflow?

Roles in Airflow typically include developers, data engineers, and DevOps engineers who design, build, and maintain workflows using Airflow's DAGs and operators. These roles require knowledge of Python, scheduling, and environment management to ensure reliable data pipeline execution.

What are the most commonly searched types of Airflow jobs in Texas?

The most popular types of Airflow jobs in Texas are:

What cities in Texas are hiring for Airflow jobs?

Cities in Texas with the most Airflow job openings:

Infographic showing various Airflow job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

ETL Developer - Python & Airflow

Integrass

Austin, TX • On-site

$49.75 - $68.50/hr

Other

Posted 18 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).