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Airflow Developer Jobs in Texas (NOW HIRING)

PETADATA

Senior Python Developer with Snowflake

Rollingwood, TX · On-site

$117K - $158K/yr

Senior Python Developer with Snowflake Experience: 12+ Years Location: TX (Onsite) Work type: C2C ... Strong knowledge of Apache Airflow, workflow orchestration, and scheduling tools. * Experience with ...

Anblicks

Lead Snowflake Developer

Dallas, TX · On-site

$58.50 - $76.75/hr

Lead Snowflake Developer Location: Dallas, TX Key Responsibilities * Lead the end-to-end ... Apache Airflow, Prefect, or Luigi. * Solid SQL skills and strong understanding of ELT patterns.

Tata Consultancy Service Limited

ETL Developer

Plano, TX · On-site

$80K - $140K/yr

Minimum 10+ years Roles & Responsibilities Seeking a Senior Big Data Engineer with 1013 years of ... Airflow. • Build high-performance, optimized Hive data models for regulatory reporting, trade ...

Mueller Industries

Contract Engineer

Fort Worth, TX · On-site

$83 - $165/hr

Airflow and Duct-System Knowledge: Experience with HVAC airflow, duct testing, pressure measurement ... Standards-Based Engineering: Ability to interpret technical test requirements and convert them into ...

ATCO Rubber Products, Inc

Contract Engineer

Fort Worth, TX · On-site

$90 - $130/hr

Airflow and Duct-System Knowledge: Experience with HVAC airflow, duct testing, pressure measurement ... Standards-Based Engineering: Ability to interpret technical test requirements and convert them into ...

New

Eitacies Inc

Senior Data Platform Engineer

Austin, TX · On-site

$105K - $143K/yr

Design and maintain Airflow DAGs for production data workflows * Develop and optimize Spark ... Strong Python programming skills * Production experience with Apache Spark PySpark * Experience ...

Mueller Industries

Contract Engineer

Fort Worth, TX · On-site

Contract Engineer - Heat Transfer Test Apparatus Design & Build Contract position for one hands-on ... Airflow and Duct-System Knowledge: Experience with HVAC airflow, duct testing, pressure measurement ...

Eitacies Inc

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Design and maintain Airflow DAGs for production data workflows * Develop and optimize Spark ... Strong Python programming skills * Production experience with Apache Spark PySpark * Experience ...

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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.

Senior Python Developer with Snowflake

PETADATA

Rollingwood, TX • On-site

$117K - $158K/yr

Other

Re-posted 2 days ago

Job description

Job Title: Senior Python Developer with Snowflake  Experience: 12+ Years Location: TX (Onsite)

Work type: C2C

Visa Type: and , H1B,-EAD

Job Summary:

 

PETADATA is seeking a Senior Python Developer with Snowflake having 12+ years of experience in Python development, Snowflake, SQL, ETL/ELT, Data Warehousing, and Cloud Technologies (AWS/Azure/Google Cloud Platform). The candidate will be responsible for building scalable data solutions, optimizing data pipelines, and supporting enterprise data platforms. 

Roles & Responsibilities:

  • Design, develop, and maintain scalable data processing applications using Python and Snowflake.

  • Build and optimize enterprise-level ETL/ELT pipelines for data ingestion, transformation, and loading.

  • Design and implement efficient Snowflake data warehouse solutions, including schema design, data modeling, and performance optimization.

  • Develop reusable and scalable Python frameworks, APIs, and automation solutions.

  • Collaborate with business stakeholders, data architects, and cross-functional teams to gather requirements and translate them into technical solutions.

  • Optimize SQL queries, stored procedures, and data workflows for maximum performance and reliability.

  • Integrate data from various sources including relational databases, APIs, cloud storage, and third-party applications.

  • Implement data quality, governance, security, and compliance best practices across the data ecosystem.

  • Monitor, troubleshoot, and resolve production issues related to data pipelines and Snowflake environments.

  • Lead code reviews, establish development standards, and mentor junior team members.

  • Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.

  • Work closely with DevOps teams to implement CI/CD pipelines and automate deployment processes.

  • Evaluate and recommend new technologies and best practices to improve platform efficiency and scalability.

Required Qualifications:  

  • 12+ years of experience in Python development, Data Engineering, or related fields.

  • Strong expertise in Python Programming (OOP, Multithreading, APIs, Data Processing).

  • Extensive hands-on experience with Snowflake Data Cloud.

  • Strong experience in SQL, query optimization, and database performance tuning.

  • Expertise in ETL/ELT Development and data integration methodologies.

  • Experience with Data Warehousing, Data Modeling, and dimensional modeling techniques.

  • Hands-on experience with PySpark and large-scale data processing frameworks.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Strong knowledge of Apache Airflow, workflow orchestration, and scheduling tools.

  • Experience with REST APIs, JSON, and third-party integrations.

  • Proficiency in version control tools such as Git/GitHub.

  • Experience with CI/CD Pipelines, Docker, and Kubernetes.

  • Knowledge of DBT (Data Build Tool) is highly preferred.

  • Familiarity with Kafka or other streaming technologies is a plus.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Excellent communication and stakeholder management skills.

Main Skills:

Python, Snowflake, SQL, ETL/ELT, Data Warehousing, Data Modeling, PySpark, AWS, Azure, Google Cloud Platform, Apache Airflow, DBT, REST APIs, Git, CI/CD, Docker, Kubernetes, Kafka, Data Integration, Performance Tuning.

Education:

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field. 

Candidates are required to attend Phone/video calls and in-person interviews. After the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.

Please email your resume to 

Contact No: 

After carefully reviewing your experience and skills, one of our HR team members will contact you on the next steps.

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