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Airflow Developer Jobs in Grapevine, TX (NOW HIRING)

Inficare Technologies

Lead Data Engineer

Lake Dallas, TX · On-site

$111K - $133K/yr

Develop and manage Apache Airflow DAGs, schedules, and monitoring for reliable data processing ... Jira, Azure DevOps, GitHub * Insurance, insurtech, healthcare, or financial services industry ...

Lennox International

Mechanical Engineer IV

Carrollton, TX · On-site

$118K - $155K/yr

Define system-level verification and validation plans, including airflow, capacity, sound, pressure ... Lead engineering activities in alignment with phase-gate and Independent Design Review processes ...

Photon

Snowflake Developer - ll - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Airflow * dbt Preferred Qualifications * Bachelor's degree in Computer Science, Information Technology, or related field. * 4+ years of experience in Data Engineering. * 2+ years of hands-on ...

Tixy Services LLC

Lead Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop and manage Apache Airflow jobs, DAGs, and schedules to ensure reliable, observable, and ... Experience with DevOps, CI/CD, Infrastructure-as-Code, and MLOps practices supporting AI and data ...

Copart, Inc.

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Sr. Data Engineer will be part of the Data & AI Team. The Data & AI Team works very closely ... Design and implement workflow orchestration using Airflow / Cloud Composer for seamless data ...

Oscar Technology

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Build batch and real-time data processing solutions using Spark/PySpark, Kafka, and Airflow ... Collaborate with engineering, analytics, and business teams to develop production-ready data ...

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Hands on experience in Amazon services such as S3,Lambda, ECS, Glue, Kinesis, Appflow, Datasync, step functions, Apache Airflow 2. Familiarity with DevOps tools and continuous delivery pipelines ...

Digital Realty, Inc.

Solutions Engineer

Dallas, TX · On-site

$150 - $200/hr

Solution Engineer Location : Dallas, Tx Travel: 30% - 40% Your Role As a Solutions Engineer, you ... Translate cooling requirements into viable solutions involving chillers, CRAH/CRAC units, airflow ...

InterSources Inc

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... Apache Airflow or Luigi. Qualifications : Required : • Proficient in Java and Python • ... engineers to support data-driven decision-making • Ensure data quality, governance, and security ...

Select Minds LLC

Senior AWS Data Engineer

Dallas, TX · On-site

$50 - $58/hr

Data Quality Engineer Location: Dallas, TX (Hybrid - 3 days onsite) Job Type: Long-term Contract ... Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM. - Experience with AuroraDB,DynamoDB ...

1 point system

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

DBT for transformations/configurations * ETL/ELT tools (Airflow, Informatica, Glue, ADF, etc ... Ensure all engineering deliverables are executed against the program roadmap and timelines ...

Select Minds LLC

AWS Data Engineer

Dallas, TX · On-site

$60 - $65/hr

... Airflow (including MWAA). - Collaborate with cross-functional teams to design data models and ... DevOps and CI/CD practices where needed Qualifications - 8-12 years of experience in Data ...

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Showing results 41-60

All JobsAirflow Developer JobsAirflow Developer Jobs in Grapevine, TX

Airflow Developer information

See Grapevine, TX salary details

$15

$48

$75

How much do airflow developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for airflow developer in Grapevine, TX is $48.82, according to ZipRecruiter salary data. Most workers in this role earn between $37.31 and $59.76 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 Grapevine, TX?

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

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

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

Airflow Developer jobs near you
Infographic showing various Airflow Developer job openings in Grapevine, TX as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $101,539 per year, or $48.8 per hour.

Data Engineer & Big Data ML Engineer

Argyllinfotech

Plano, TX • On-site

$65/hr

Contractor

Re-posted 11 days ago

Job description

 
Hiring: Data Engineer / Big Data ML Engineer | Plano, TX (100% Onsite) | Capital One

Location: Plano, TX (100% Onsite)
End Client: Capital One Financial Corporation
Employment Type: Contract (09/08/2026 – 03/31/2027)
Our Rate: $65/hr C2C | $61/hr W2
‍ Experience: 8+ Years

We are looking for an experienced Data Engineer / Big Data ML Engineer to build scalable, high-performance data platforms supporting enterprise analytics and Machine Learning initiatives. If you're passionate about Big Data, distributed computing, cloud technologies, and real-time data engineering, we'd love to hear from you!

Key Responsibilities

✅ Design, build, and maintain scalable batch and real-time data pipelines.
✅ Develop distributed data processing solutions using Apache Spark, Kafka, Hadoop, and Amazon EMR.
✅ Build robust ETL/ELT frameworks for enterprise-scale data processing.
✅ Design cloud-native data solutions on AWS, Azure, or GCP.
✅ Develop data engineering solutions using Java, Python, and SQL.
✅ Implement event-driven architectures and real-time data processing.
✅ Build workflow orchestration solutions using Airflow, AWS Step Functions, Azure Data Factory, or Prefect.
✅ Optimize pipeline performance, scalability, monitoring, and data quality.
✅ Collaborate with Data Scientists, ML Engineers, DevOps, and Product Teams.
✅ Support production environments, troubleshoot pipeline issues, and drive continuous improvements.

Required Skills

✔️ 8+ years of Data Engineering / Big Data experience.
✔️ Strong expertise in Java, Python, and SQL.
✔️ Hands-on experience with Apache Spark, Apache Kafka, Hadoop, and Amazon EMR.
✔️ Strong knowledge of ETL/ELT, Data Pipelines, and Distributed Computing.
✔️ Experience building Real-Time Data Processing and Event-Driven Architectures.
✔️ Experience with AWS, Azure, or Google Cloud Platform (GCP).
✔️ Knowledge of Snowflake, Redshift, BigQuery, Azure Synapse, or similar cloud data warehouses.
✔️ Experience with Agile, Git, CI/CD, and DevOps collaboration.

⭐ Preferred Skills

✅ Machine Learning data pipelines & Feature Engineering.
✅ Airflow, Prefect, AWS Step Functions, or Azure Data Factory.
✅ Data Lake / Lakehouse technologies (Delta Lake, Apache Iceberg, Apache Hudi).
✅ Data Quality Frameworks and Monitoring/Observability tools.
✅ Financial Services or other regulated industry experience.

Interested candidates, please share your updated resume