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Data Engineer Airflow Jobs in Austin, TX (NOW HIRING)

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP, BigQuery, Python, Dataflow, Composer/Airflow, Google Cloud Storage (GCS) Key Responsibilities ... Build and optimize ML-ready datasets, feature engineering pipelines, and reusable data assets for ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The role involves building scalable Spark data pipelines and leveraging Airflow to enhance business ... engineering skills (Java or Python) Company : Omega was incorporated in 2007 in the State of ...

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Hands on experience with ETL and Dimensional Data Modelling, Slowly Changing Dimensions like Type ... Proficiency in Python scripting and programming using Pandas, PyParsing, Airflow. o Pandas, Tableau ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We're currently using tools and platforms like Python, Airflow, dbt, AWS and Snowflake. This is a ... data engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We're currently using tools and platforms like Python, Airflow, dbt, AWS and Snowflake. This is a ... data engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

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

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.

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.

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 ...

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 • ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Integrate tools with core data infrastructure , building pipelines ( Airflow, Spark, dbt, Kafka ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

Lead Data Engineer

Manor, TX · On-site

$123K - $148K/yr

Senior/Lead Data Engineer Experience: 10+ Years Employment Type: Contract W2 only About the Role We ... Proficiency in orchestration tools - Airflow, Dagster, or similar * Solid understanding of data ...

New

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... Composer (Airflow) and Pub/Sub. * Write high-performance, production-grade Python and SQL ...

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Integrate tools with core data infrastructure , building pipelines ( Airflow, Spark, dbt, Kafka ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... Composer (Airflow) and Pub/Sub. * Write high-performance, production-grade Python and SQL ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Design and build scalable ELT/ETL pipelines using Airflow, Stored Procedures in BigQuery, Dataflow ... Optimize data performance of Google Vertex AI engineering and ML pipelines * Partner with business ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

... Airflow , Astronomer, or equivalent cloud-native data engineering technologies. * Advanced ... experience with data modeling, data warehousing, and data engineering best practices. * Experience ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Design and build scalable ELT/ETL pipelines using Airflow, Stored Procedures in BigQuery, Dataflow ... Optimize data performance of Google Vertex AI engineering and ML pipelines * Partner with business ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

... Airflow , Astronomer, or equivalent cloud-native data engineering technologies. * Advanced ... experience with data modeling, data warehousing, and data engineering best practices. * Experience ...

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Showing results 1-20

Data Engineer Airflow information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do data engineer airflow jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer airflow in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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 Austin, TX?

For Data Engineer Airflow jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Airflow jobs in Austin, TX look for?

The top searched job categories for Data Engineer Airflow jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Engineer Airflow jobs?

Cities near Austin, TX with the most Data Engineer Airflow job openings:

Infographic showing various Data Engineer Airflow job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

GCP Data Engineer

Arkhya Tech. Inc.

Austin, TX • On-site

$113K - $136K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Experience: 10+ Years

Cloud Platform: GCP

Skills Required: GCP, BigQuery, Python, Dataflow, Composer/Airflow, Google Cloud Storage (GCS)

Key Responsibilities & Skills

  • Design, develop, and maintain scalable ETL/data pipelines on GCP using Python, Dataflow, BigQuery, Cloud Storage, Composer/Airflow, and Control-M to support fraud analytics, ML, and enterprise data initiatives.
  • Build and optimize ML-ready datasets, feature engineering pipelines, and reusable data assets for model training, validation, and production deployment.
  • Develop high-quality Python solutions following coding standards, security best practices, resiliency, reliability, and performance optimization principles.
  • Strong expertise in SQL, BigQuery/PostgreSQL, data modeling, database concepts, and large-scale data processing.
  • Implement data quality, reconciliation, lineage, metadata management, governance, and monitoring controls to ensure trusted and auditable data pipelines.
  • Design and support CI/CD-enabled data engineering platforms, automated deployments, and integration with enterprise data ecosystems including Dataiku, Neo4j, REST APIs, and cloud-native services.
  • Collaborate with Data Scientists and ML Engineers to support feature availability, data access, pipeline orchestration, integration testing, and ML operationalization.
  • Strong analytical, problem-solving, and troubleshooting skills; exposure to GenAI use cases and MLOps ecosystems is a plus.

Preferred Experience

  • Overall 10+ years of experience
  • 5+ years on GCP Data Engineering
  • 5+ years with Python/Dataflow-based ETL development
  • 3+ years with Composer/Airflow, BigQuery/PostgreSQL, and Google Cloud Storage
  • Experience supporting fraud detection, risk analytics, or ML data platforms preferred.