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Airflow Developer Jobs in Houston, TX (NOW HIRING)

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... Airflow, Azure Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data Experience with CI/CD, Git, and DevOps best practices Proven experience designing ...

QuVa Pharma

Process Improvement Engineer II

Sugar Land, TX · On-site

$101K/yr

The Process Improvement Engineer II plays a critical role in the development of new processes ... The resource is also responsible for building and implementing the TX site airflow visualization ...

oneQuva

Process Improvement Engineer II

Sugar Land, TX · On-site

$110 - $140/hr

... Engineer II plays a critical role in the development of new processes, identification and ... The resource is also responsible for building and implementing the TX site airflow visualization ...

Giga Energy

BIM Modeler, Mechanical

Houston, TX · On-site +1

Size ductwork and piping based on airflow, velocity, pressure drop, and equipment requirements, applying sound engineering judgment when every detail isn't fully specified * Produce mechanical plans ...

INSPYR Solutions

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Automate and optimize the data lifecycle, find insights from raw data, and applying DevOps ... Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 ...

WorkNovas LLC

Platform Engineer

Houston, TX · On-site

Strong Python/PySpark and SQL skills; familiarity with DLT, Airflow, or Databricks Workflows ... Experience with CI/CD, GitHub Actions, Azure DevOps, or similar tools. Success Indicators: * Teams ...

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All JobsAirflow Developer JobsAirflow Developer Jobs in Houston, TX

Airflow Developer information

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$16

$50

$78

How much do airflow developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for airflow developer in Houston, TX is $50.46, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $61.73 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 Houston, TX?

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

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

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

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

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

Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Houston, TX as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $104,956 per year, or $50.5 per hour.

Azure Data Engineer (Houston, TX)

Cedent

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 8 hours ago

Job description

Job Title:- Azure Data Engineer
Location:- Spring Texas (On-Site)
Need Only Local to Houston, TX
Experience;- 10+ Years
Responsibilities
  • Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards
  • Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed
  • Automate data processing of data from multiple data sources
  • Develop, deploy and version control code for data consumption, reuse for APIs
  • Employ machine learning techniques to create and sustain data structures
  • Perform root cause analysis on external and internal processes and data to identify opportunity for improvement, resolve data quality issues
  • Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria

Skills and Qualifications
We are looking for someone who has technical depth and broad tool experience related to data engineering and has the following required qualifications:
  • Minimum bachelor's degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience
  • 5 or more years performing duties related to data engineering
  • Advance English level
  • Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and competent in source code management
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Create data validation methods and data analysis tools

Preferred Qualifications / Experience
  • Excellent problem-solving skills and ability to learn through scattered resources
  • Automate routine tasks via scripts, code
  • Capacity to successfully manage a pipeline of duties with minimal supervision
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Modify existing reports, extracts, dashboards, and cubes as necessary
  • Commitment to operations integrity and ability to hold self and others accountable for results

Required Proficiency:
  • Advanced
  • SQL
  • Snowflake
  • Tamr
  • Python
  • GitHub
  • Intermediate
  • Databricks
  • Airflow
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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