1

Airflow Developer Jobs in Frisco, TX (NOW HIRING)

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 ...

Devops Engineer SR

Dallas, TX · On-site

$128K - $165K/yr

Maintain and extend Azure DevOps CI/CD pipelines using shared Terraform templates with multi ... Dataproc (Spark), Cloud Composer (Airflow), BigQuery, Pub/Sub * Familiarity with OPA/Rego or ...

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 ...

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 ...

Senior Python Developer

Dallas, TX · On-site

$120K - $161K/yr

This Senior Python Developer with PL/SQL role bridges high-performance backend automation with ... Develop and maintain automated workflows, orchestrating jobs with Apache Airflow DAGs. * Migrate ...

SQL Developer

Dallas, TX · On-site

$44.75 - $61.25/hr

Schedule and monitor SSIS jobs via SQL Server Agent or AWS SSM/Airflow. * Collaborate with analysts and developers to design normalized/denormalized schemas and data marts. * Participate in code ...

next page

Showing results 1-20

Airflow Developer information

See Frisco, TX salary details

$15

$49

$76

How much do airflow developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for airflow developer in Frisco, TX is $49.45, according to ZipRecruiter salary data. Most workers in this role earn between $37.79 and $60.53 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.

What are popular job titles related to Airflow Developer jobs in Frisco, TX?

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

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

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

Infographic showing various Airflow Developer job openings in Frisco, TX as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $102,864 per year, or $49.5 per hour.

Data Engineer with DevOps

System One

Dallas, TX • On-site

$52.25 - $71.50/hr

Other

Re-posted 18 days ago


Job description

Job Title: Senior Data Engineer with DevOps

Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX

Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities:

  • Design and build scalable data pipelines aligned with business needs
  • Process large dataset (batch + sometimes near Realtime)
  • Ensure data quality, consistency, and governance standards across systems
  • Support data integration and transformation efforts for analytics and reporting platforms
  • Maintain data dictionaries, metadata, and documentation
  • Participate in data architecture reviews and model validation processes
  • Support analytics reporting and risk platforms.
Required Qualifications
  • 5+ years of experience in data engineering and big data processing
  • Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
  • Experience working with structured and semi structured data, including complex transformations and performance tuning
  • Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'
  • Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
  • Strong knowledge of SQL and data modeling concepts
  • Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
  • Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
  • Strong understanding of batch processing and batch job scheduling frameworks
  • Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
  • Fundamentals in Linux and Networking
  • Docker, OCP containerization / Kubernetes
  • Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle
  • Automate operational tasks using Python, Bash/Shell, and PowerShell
  • Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
  • Experience ensuring data quality, reliability, and compliance in regulated environments
  • Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams
  • Agile/Safe methodologies
Must Have Skills
  • Airflow
  • Containerization
  • DevOps
  • Elastic Stack & Elasticsearch
  • GitHub
  • Hadoop Hive
  • Jenkins
  • JSON Web Token (JWT)
  • Kubernetes
  • OpenShift
  • Oracle
  • Python
  • Shell Script
  • SQLite
Ref: #404-IT Pittsburgh