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Data Engineer Airflow Jobs in Texas (NOW HIRING)

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Job Titile: Data Engineer Work Location; Irving, Texas Duration: 8+ Months Specific Skills ... Airflow, Argo. * Experience or knowledge of big data tools: i.e., Hadoop, Spark, Kafka.

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

GCP Data Engineer work Location: Irving, TX Duration: 8+ Months * Big data expert with 6+ years ... Oozie and Airflow scheduler hands on experience * Hadoop fundamental concepts * CICD * Cloudera ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... Airflow, dbt, or Azure Data Factory (ADF) • Knowledge of Git, CI/CD pipelines, and DevOps best practices • Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time ...

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. * Strong SQL and Python proficiency with ...

New

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... Airflow, dbt, or Azure Data Factory (ADF) • Knowledge of Git, CI/CD pipelines, and DevOps best practices • Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are seeking a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines ... Work with Cloud Storage, Pub/Sub, Dataflow, and Composer (Airflow) * Implement data quality ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and ... Terraform, Kubernetes, RabbitMQ, Airflow, Prefect), Git, containerisation (Docker), database ...

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and ... Terraform, Kubernetes, RabbitMQ, Airflow, Prefect), Git, containerisation (Docker), database ...

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

As a Data engineer (successfully lead the delivery of projects including end-to-end requirements ... Experience in scheduling like Airflow, Cloud Composer etc. * Experience in CI/CD automation ...

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

We are looking for a motivated Data Engineer to join our growing data team. This role is ideal for ... Familiarity with dbt (data build tool) and Dagster (or similar tools like Airflow). * Google Cloud ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... Design and build scalable ELT/ETL pipelines using Airflow, Stored Procedures in BigQuery, Dataflow ...

Sr GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Responsibilities : • Design and maintain Airflow DAGs for production data workflows • Develop ... Required : • 6+ years of data engineering experience • Strong Python programming skills • ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Familiarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF) * Knowledge of Git, CI/CD pipelines, and DevOps best practices * Exposure to Delta Lake ...

Sr. Data Engineer

Austin, TX

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... Design and build scalable ELT/ETL pipelines using Airflow, Stored Procedures in BigQuery, Dataflow ...

Showing results 21-40

Data Engineer Airflow information

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
What are popular job titles related to Data Engineer Airflow jobs in Texas? For Data Engineer Airflow jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Data Engineer Airflow jobs? Cities in Texas with the most Data Engineer Airflow job openings:
Infographic showing various Data Engineer Airflow job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

TECHOAUTH SOLUTIONS LLC

Fort Worth, TX • Hybrid

$70K - $120K/yr

Full-time

Re-posted yesterday


Job description

Job Title: Senior Data Engineer
Company: Techoauth Solutions LLC
Location: Fort Worth, TX (Hybrid)
Job Summary
Techoauth Solutions is seeking a Senior Data Engineer to design and maintain scalable data pipelines supporting AI-driven analytics and data platforms. This role will work closely with engineering and analytics teams to ensure reliable, secure, and high-performance data systems.
Responsibilities
  • Design and build scalable ETL/ELT pipelines using Python and modern data tools
  • Develop and optimize data models using PostgreSQL

  • Write efficient SQL queries and improve data performance
  • Manage data workflows using Dagster, Airflow, DBT, or AWS Glue

  • Monitor pipeline health and troubleshoot data issues
  • Work with AWS services such as Athena, Glue, SQS, SNS, IAM, and CloudWatch

  • Maintain data quality, governance, and security standards

  • Document data pipelines, workflows, and system architecture
  • Collaborate with cross-functional teams and mentor junior engineers
Requirements
  • Bachelor’s degree in Computer Science, Data Engineering, or related field

  • 5+ years of experience building production data pipelines
  • Strong SQL skills with PostgreSQL or similar databases

  • Experience with Python and data processing frameworks 

  • Experience with ETL/ELT tools such as DBT, Dagster, Airflow, or AWS Glue

  • Knowledge of AWS cloud services

  • Experience with GitHub and CI/CD workflows

  • Strong analytical, problem-solving, and communication skills
Preferred
  • Experience with healthcare data or HIPAA compliance

  • Experience working with AI or machine learning data platforms

Work Environment
  • Hybrid work model (Fort Worth office + remote work)

  • Standard business hours with occasional on-call support for data pipeline incidents.