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Airflow Developer Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Informatica IDMC Administrator

Dallas, TX · On-site

$53 - $69.50/hr

Troubleshoot workflow failures and optimize Airflow DAG performance. * Work closely with data engineering and application teams to ensure reliable data pipelines. * Perform platform upgrades ...

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Airflow related modules, APIs o Setting up Python scripts on DataLab, scheduling processes, connecting with DataLake, S3 etc. o Data Pipeline automation o Strong Python programming skills o Apache ...

Senior Data Engineer with DevOps

Dallas, TX · On-site

$128K - $165K/yr

... DevOps Category: Architecture Main location: United States, Texas, Dallas Alternate Location(s ... Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ...

Senior Data Engineer with DevOps

Dallas, TX · On-site

$129K - $165K/yr

Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling ... Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle

Build serverless compute layers using Lambda, Step Functions, and Airflow. * Design data lake ... Document architecture decisions and maintain runbooks * 5 years AWS data engineering experience ...

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 ...

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Showing results 1-20

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.
What cities in Texas are hiring for Airflow Developer jobs? Cities in Texas with the most Airflow Developer job openings:
Infographic showing various Airflow Developer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.
Lead Engineer -DevOps

Lead Engineer -DevOps

Catalyst Brands

Dallas, TX • On-site

$103K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Catalyst Brands rating

7.0

Company rating: 7.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

Overview
Lead Engineer - DevOps
Location : Dallas, NYC, NJ
Role Type : Hybrid Role
Role Overview
We are looking for a Lead DevOps Engineer to drive the design, automation, and reliability of our modern data and analytics platform at Catalyst Brands. This role will focus on building and managing scalable, secure, and high-performing infrastructure across a growing and evolving ecosystem of data and analytics technologies.
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 as business needs evolve.
You will work at the intersection of platform engineering and data operations, enabling seamless deployment, monitoring, and governance of data and analytics solutions. This role combines hands-on platform engineering expertise with platform ownership and cross-functional collaboration, partnering with data engineering, analytics, and business teams to deliver resilient and efficient systems.
Responsibilities
  • Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, Tableau, MicroStrategy, Snowflake, Airflow etc.
  • Build and maintain CI/CD pipelines for data and analytics applications, ensuring reliable and automated deployments.
  • Manage infrastructure as code (IaC) using tools such as Terraform or CloudFormation.
  • Ensure platform reliability through monitoring, alerting, logging, and incident response practices.
  • Optimize performance, scalability, and cost across cloud environments and analytics platforms.
  • Implement security best practices, including identity management, data protection, and compliance controls.
  • Collaborate with data engineering, analytics and cross-functional teams to enable efficient data workflows and platform usage.
  • Automate operational processes to improve efficiency and reduce manual intervention.
  • Support environment provisioning, configuration management, and release management processes.
  • Continuously evaluate, adopt, and integrate new platforms and tools as the data ecosystem evolves.
  • Lead platform standardization while remaining adaptable to emerging technologies and changing business needs.
  • Drive continuous improvement by identifying opportunities to modernize or replace existing tooling.
  • Contribute to platform governance, including access controls, auditability, and operational standards.
    Provide technical leadership, set platform standards, and mentor engineers contributing to the analytics platform.
  • Participate in on-call rotations and lead incident response for platform-related outages.

Qualifications
  • Bachelor's degree in computer science, engineering, or related field with 5+ years of platform or platform engineering experience.

  • Strong experience with Snowflake, MicroStrategy and Tableau platform administrative management & support.

  • Strong experience with AWS services such as EC2, S3, Lambda, RDS, CloudWatch, IAM, and VPC.

  • Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or similar.

  • Experience with infrastructure as code (Terraform, CloudFormation).

  • Experience managing and supporting analytics platforms such as Airflow, Datameer and Tableau.

  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.

  • Experience with scripting languages such as PySpark, Python, Bash, or similar.

  • Familiarity with monitoring and observability tools (CloudWatch, Prometheus, Grafana, etc.).

  • Understanding of networking, security, and cloud architecture principles.

  • Strong troubleshooting and problem-solving skills.

  • Excellent communication skills with the ability to work cross-functionally.

  • Demonstrated ability to quickly learn and adopt new technologies in a changing environment

  • Experience working in evolving platform ecosystems where tools and priorities shift over time

Preferred Qualifications:
  • Experience with data platform ecosystems and integration with data warehouses like Snowflake or Redshift.

  • Experience evaluating and introducing new tools or platforms into production environments

  • Familiarity with data pipeline orchestration tools such as Apache Airflow.

  • Experience implementing Platform practices for BI and analytics tools, especially MicroStrategy and Tableau.

  • Knowledge of Datameer platform administration, optimization, and troubleshooting.

  • Experience with secrets management tools (AWS Secrets Manager, HashiCorp Vault).

  • Experience implementing security and compliance frameworks in cloud environments.

  • Familiarity with cost optimization strategies for cloud infrastructure.

  • Experience working in retail, e-commerce, or consumer-facing environments.

  • Exposure to AI/ML platform deployment and MLOps practices.

What you Get:
Enjoy a rewarding career at Catalyst, where we offer a competitive benefits package, a vibrant work environment, and the opportunity to make a difference with America's most iconic retail brands.
• Generous benefits: Medical/dental/vision insurance starting on day one, term life insurance, paid vacation/holidays, 401(k) Savings Plan with company match, and an associate discount on merchandise across all Catalyst Brands.
• Opportunities for growth and development: We are committed to helping our employees grow their careers and develop their skills. We offer a variety of training and development programs, as well as opportunities for advancement.
• Collaborative and supportive culture: We believe in creating a workplace where everyone feels valued and respected. We encourage teamwork and collaboration, and we are always looking for ways to support our employees' success.
About Catalyst:
Catalyst Brands reflects the bringing together the rich heritages of our brands with modern excitement and a new vision for success. Five iconic brands came together under a unified powerhouse portfolio to celebrate the essence of American style. We will leverage our rich history, resources and best-in-class industry talent to further build the success of our brands. At Catalyst we are united in one shared purpose: We exist to ignite America's most beloved retail brands to make fashion accessible to all.
For more opportunities to join our team please visit our careers page.
Pay Range
USD $103,500.00 - USD $172,500.00 /Yr.

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