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

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. 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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Engineer

Austin, TX

$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 ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation ... Experience with workflow orchestration tools (e.g., Airflow or FiveTran, dbt or dbt Cloud)

Data Engineer II

Austin, TX · On-site

$113K - $136K/yr

Data Engineer II ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Experience with workflow orchestration tools like Apache Airflow (or similar platforms) to schedule ...

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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 28, 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.

Lead Data Engineer

Programmers.io

Austin, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 11 days ago


Job description

MUST HAVE
• Hands on experience with writing Complex SQL queries using Joins, Self Joins, Views, Materialized Views, Cursor also Recursive, use of GROUP BY, PARTITION BY functions and SQL Performance tuning
• Hands on experience with ETL and Dimensional Data Modelling, Slowly Changing Dimensions like Type 1, 2, 3
o Good understanding of concepts like schema types, table types (fact, dimension etc.)
• Proficiency in Python scripting and programming using Pandas, PyParsing, Airflow.
o Pandas, Tableau server modules, NumPy, Datetime, Apache Airflow related modules, APIs
o Setting up Python scripts on DataLab, scheduling processes, connecting with DataLake, S3 etc.
o Data Pipeline automation
o Strong Python programming skills
o Apache Kafka and Python (using client libraries like Confluent's librdkafka or kafka python to produce and consume messages from Kafka topics.
o Experience building streaming applications, data pipelines, and microservices etc.
• Should have understanding on Snowflake Architecture, experience with designing and building solutions.
o Architecture, design aspects, performance tuning, time travel, warehouse concepts, scaling, clustering, micro partitioning
o Experience with SnowSQL, SnowPipe
• Good to Have Experience with Snowflake performance optimization techniques
• Experience with Vertica, Single store
• Lead Experience in interacting with business and independently develop and lead data projects. Collaborating with Offshore and owning overall project delivery.
• Actively participating in discussions with business to understand requirements, perform thorough impact analysis and provide suitable solutions.
Role Descriptions: MUST HAVE Hands on experience with writing Complex SQL queries using Joins| Self Joins| Views| Materialized Views| Cursor also Recursive| use of GROUP BY| PARTITION BY functions and SQL Performance tuning Hands on experience with ETL and Dimensional Data Modelling| Slowly Changing Dimensions like Type 1| 2| 3o Good understanding of concepts like schema types| table types (fact| dimension etc.) Proficiency in Python scripting and programming using Pandas| PyParsing| Airflow.o Pandas| Tableau server modules| NumPy| Datetime| Apache Airflow related modules| APIso Setting up Python scripts on DataLab| scheduling processes| connecting with DataLake| S3 etc.o Data Pipeline automationo Strong Python programming skillso Apache Kafka and Python (using client libraries like Confluents librdkafka or kafka python to produce and consume messages from Kafka topics.o Experience building streaming applications| data pipelines| and microservices etc. Should have understanding on Snowflake Architecture| experience with designing and building solutions.o Architecture| design aspects| performance tuning| time travel| warehouse concepts| scaling| clustering| micro partitioningo Experience with SnowSQL| SnowPipe Good to Have Experience with Snowflake performance optimization techniques Experience with Vertica| Single store Lead Experience in interacting with business and independently develop and lead data projects. Collaborating with Offshore and owning overall project delivery. Actively participating in discussions with business to understand requirements| perform thorough impact analysis and provide suitable solutions.
Essential Skills: MUST HAVE Hands on experience with writing Complex SQL queries using Joins| Self Joins| Views| Materialized Views| Cursor also Recursive| use of GROUP BY| PARTITION BY functions and SQL Performance tuning Hands on experience with ETL and Dimensional Data Modelling| Slowly Changing Dimensions like Type 1| 2| 3o Good understanding of concepts like schema types| table types (fact| dimension etc.) Proficiency in Python scripting and programming using Pandas| PyParsing| Airflow.o Pandas| Tableau server modules| NumPy| Datetime| Apache Airflow related modules| APIso Setting up Python scripts on DataLab| scheduling processes| connecting with DataLake| S3 etc.o Data Pipeline automationo Strong Python programming skillso Apache Kafka and Python (using client libraries like Confluents librdkafka or kafka python to produce and consume messages from Kafka topics.o Experience building streaming applications| data pipelines| and microservices etc. Should have understanding on Snowflake Architecture| experience with designing and building solutions.o Architecture| design aspects| performance tuning| time travel| warehouse concepts| scaling| clustering| micro partitioningo Experience with SnowSQL| SnowPipe Good to Have Experience with Snowflake performance optimization techniques Experience with Vertica| Single store Lead Experience in interacting with business and independently develop and lead data projects. Collaborating with Offshore and owning overall project delivery. Actively participating in discussions with business to understand requirements| perform thorough impact analysis and provide suitable solutions.