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Airflow Developer Jobs in Texas (NOW HIRING)

Apple

Software Development Engineering

Austin, TX · On-site

... Spark, Airflow, JavaScript, CSS, and AWS technologies for compute and storage, messaging, and data storage • Develop, test, and deploy software products such as: web pages and applications as ...

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 ...

Apple

Software Development Engineering

Austin, TX · On-site

... developer guides, and onboarding guides; Hands on programming with Java, Dropwizard, JUnit, Salesforce technologies, web services, REST, XML, Oracle, Snowflake, Kafka, AVRO, Spark, Airflow ...

Apple

Software Development Engineering

Austin, TX

... developer guides, and onboarding guides; Hands on programming with Java, Dropwizard, JUnit, Salesforce technologies, web services, REST, XML, Oracle, Snowflake, Kafka, AVRO, Spark, Airflow ...

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 ...

Photon

Sr Software Engineer - Python - Irving, TX

Irving, TX · On-site

$117K - $155K/yr

Integrate Airflow with various data sources (e.g., databases, APIs, cloud storage) and targets ... Collaborate with data engineers, analysts, and platform teams to support end-to-end data solutions.

Syntricate Technologies

Big Data Developer

Richardson, TX · On-site

$48.25 - $62.50/hr

Position-Big Data Developer Duration-Contract Location- Richardson, TX~ Woonsocket, RI JD * Strong ... Airflow, Azure Data Factory) * Experience with real-time and streaming technology (i.e. Azure Event ...

c1advantage.com

Lead Snowflake Developer

Dallas, TX · On-site

$58.50 - $76.75/hr

Job Title: Lead Snowflake Developer Location: Dallas, TX (hybrid in office) Overview: We are ... Experience with orchestration tools such as Apache Airflow, Prefect, or Luigi * Strong SQL skills ...

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Airflow Developer information

What are Airflow Developers?

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 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.

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.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
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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
Sr Software Engineer - Python - Irving, TX

Sr Software Engineer - Python - Irving, TX

Photon

Irving, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description


Key Responsibilities:
Design, develop, and manage complex Airflow DAGs for data workflows, ETL/ELT pipelines, and task automation.
Integrate Airflow with various data sources (e.g., databases, APIs, cloud storage) and targets.
Optimize and monitor pipeline performance and troubleshoot failures in a timely manner.
Collaborate with data engineers, analysts, and platform teams to support end-to-end data solutions.
Implement best practices for code quality, testing, version control, and deployment.
Maintain documentation and provide technical mentorship to junior engineers.
Required Skills:
3+ years of hands-on experience with Apache Airflow in production environments.
Strong programming skills in Python.
Solid understanding of data engineering concepts, including ETL/ELT processes, workflow orchestration, and data validation.
Experience with SQL and relational databases (e.g., PostgreSQL, MySQL).
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their storage and compute services.
Knowledge of containerization tools like Docker and orchestration with Kubernetes (a plus).
Compensation, Benefits and Duration
Minimum Compensation: USD 36,000
Maximum Compensation: USD 126,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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