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Data Engineer Airflow Jobs in Texas (NOW HIRING)

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Design and maintain Airflow DAGs for production data workflows * Develop and optimize Spark ... Strong Python programming skills * Production experience with Apache Spark PySpark * Experience ...

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 ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows ...

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Hands-on experience with ETL and Dimensional Data Modelling - Slowly Changing Dimensions (SCD - Type 1, 2, 3). * Proficiency in Python scripting/programming - using Pandas, PyParsing, Airflow.

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Hands-on experience with ETL and Dimensional Data Modelling - Slowly Changing Dimensions (SCD - Type 1, 2, 3). * Proficiency in Python scripting/programming - using Pandas, PyParsing, Airflow.

Senior Data Engineer

Fort Worth, TX · On-site

$95K - $129K/yr

Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) Job Summary ... Manage data workflows using Dagster, Airflow, DBT, or AWS Glue * Monitor pipeline health and ...

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 II

Austin, TX · On-site +1

$113K - $136K/yr

Experience utilizing modern data engineering tools and frameworks such as dbt, Apache Airflow, or ... similar technologies. * Experience contributing to the delivery and support of scalable, reliable ...

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 ...

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Experience utilizing modern data engineering tools and frameworks such as dbt, Apache Airflow, or ... similar technologies. * Experience contributing to the delivery and support of scalable, reliable ...

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 ...

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

$106K - $128K/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 ...

Showing results 21-40

Data Engineer Airflow information

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.

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 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.

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 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 job categories do people searching Data Engineer Airflow jobs in Texas look for?

The top searched job categories for Data Engineer Airflow jobs in Texas 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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr GCP Data Engineer

Eitacies Inc

Austin, TX • On-site

$114K - $137K/yr

Full-time

Retirement

Re-posted 24 days ago


Job description

Benefits:
  • 401(k)

Senior Data Platform Engineer  
Onsite Austin, TX
Job Description
We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ.
This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform.
Key Responsibilities:
  • Design and maintain Airflow DAGs for production data workflows
  • Develop and optimize Spark / PySpark jobs on Dataproc
  • Build and optimize complex SQL transformations
  • Develop REST APIs using FastAPI Python to support data services
  • Implement robust data quality and validation frameworks
  • Monitor pipeline performance, retries, and SLA compliance
Required Skills:
  • 6+ years of data engineering experience
  • Strong Python programming skills
  • Production experience with Apache Spark PySpark
  • Experience with Airflow DAG development
  • Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred)
  • Experience building APIs using FastAPI
  • Strong SQL and data modeling knowledge
  • Experience implementing data quality checks (schema validation, row count checks, anomaly detection)