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

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD. * Deep understanding of core data engineering patterns ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Knowledge of Spark, Scala and other programming languages knowledge in airflow, google cloud, data quality. Familiarity with one of the core cloud provider services, preferably Google Cloud.

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Familiarity with workflow orchestration tools such as Airflow or Prefect preferred * Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Familiarity with workflow orchestration tools such as Airflow or Prefect preferred * Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental ...

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Familiarity with workflow orchestration tools such as Airflow or Prefect preferred * Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental ...

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 ...

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Airflow

Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI platforms (Power BI, Tableau, Looker). * Advanced degree in Computer Science, Statistics, or a ...

PCA Data Engineer

Houston, TX · On-site

$109K - $131K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support ... Airflow or other orchestration tools. • Experience working with Git-based workflows and CI/CD ...

PCA Data Engineer

Houston, TX

$109K - $131K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

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Showing results 1-20

Data Engineer Airflow information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer airflow jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data engineer airflow in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

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 Spring, TX? For Data Engineer Airflow jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Spring, TX look for? The top searched job categories for Data Engineer Airflow jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineer Airflow jobs? Cities near Spring, TX with the most Data Engineer Airflow job openings:

Data Engineer

Kanak Elite Services Inc

Houston, TX • On-site

$109K - $131K/yr

Contractor

Posted 2 days ago


Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

TITLE: DATA ENGINEER III

CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT

ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT. 

NEED SENIOR CANDIDATES 12+ – 15+ YEARS OF CANDIDATE

 Required Qualifications

  • 7–10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus.
  • Expert-level SQL development and data analysis skills, including advanced query optimization and debugging.
  • Strong Python engineering skills and familiarity with software design principles and patterns (e.g., SOLID), unit testing, refactoring, and version control.
  • Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD.
  • Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery.
  • Proven experience with database physical design including partitioning and effective partition key selection; exposure to clustering and micro-partitioning on MPP/cloud data platforms.
  • Experience implementing data quality frameworks, observability/monitoring, and robust operational SLAs.
  • Experience with Lakehouse table formats (Apache Iceberg/Delta/Hudi) and columnar storage (Parquet) on object storage (e.g., AWS S3).
  • Strong communication skills with the ability to present complex technical concepts to both technical and business stakeholders.

Preferred Qualifications

  • Experience optimizing Snowflake workloads (compute sizing, tasks/streams, clustering, micro-partitioning).
  • Experience with dbt, Data Build Tool, or similar for transformation and testing.
  • Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration.
  • Experience with data catalog, governance, and lineage platforms.
  • Domain experience in Oil & Gas midstream operations or industrial IoT/time-series data.