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

Deloitte

Sr Databricks Data Engineer

Houston, TX

$109K - $131K/yr

... Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources Ability ...

Pwc

Data Engineer - Senior Associate

Houston, TX

$77K - $202K/yr

... 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 ...

Gainwell Technologies LLC

Senior Data Engineer

Houston, TX · On-site

$69K - $99K/yr

Summary The Senior Data Engineer will be responsable on designing, developing, and maintaining ... Set up robust pipeline orchestration (e.g., with Airflow, Databricks Jobs, or AWS Step Functions ...

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Experience with DBT, Prefect (or similar orchestration tools like Airflow) data replication ... Bachelor's - Engineering NextEra Energy offers a wide range of benefits to support our employees ...

Whitewater Express Car Wash

Senior Data Engineer

Houston, TX · On-site

$90K - $130K/yr

Senior Data Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Orchestrate and monitor data workflows using tools such as Airflow or similar platforms * Maintain ...

NextEra Energy

Sr Data Engineer

Houston, TX

$109K - $131K/yr

Experience with DBT, Prefect (or similar orchestration tools like Airflow) data replication ... Bachelor's - Engineering NextEra Energy offers a wide range of benefits to support our employees ...

WhiteWater Express Car Wash

Senior Data Engineer

Houston, TX · On-site

$90K - $130K/yr

Senior Data Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we ... Orchestrate and monitor data workflows using tools such as Airflow or similar platforms * Maintain ...

Deloitte

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

Apache Airflow * Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

DPR Construction

Data Engineering Lead- Finance

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 ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

Experience with data orchestration frameworks (Airflow preferred) * Experience with Infrastructure as Code (Terraform) * Experience with Azure Devops * Proven experience leading data incident ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

Experience with data orchestration frameworks (Airflow preferred) * Experience with Infrastructure as Code (Terraform) * Experience with Azure Devops * Proven experience leading data incident ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

... Engineer to join their global data science and machine learning team. The role focuses on ... Airflow, Dagster) and cloud-based ETL/ELT pipelines Company : The Vitol Group is an energy and ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Spring, TX

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 Jul 24, 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 Airflow jobs near you
Analyst, Lead Data Engineering

Analyst, Lead Data Engineering

Enterprise Products

Houston, TX • On-site

Full-time

Posted 28 days ago

Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

1st of 53 rated energy and utility

Job description

Description
Tap into the professional possibilities of the largest publicly traded energy partnership that features one of the most diversified cash flow streams in the midstream segment of the energy industry. With dynamic career opportunities and a creative and supportive environment, our unique midstream energy organization offers the chance to share and be recognized for your ideas. Join our team and increase your opportunities for success.
We are currently seeking an experienced Data Engineer to join the Big Dat and Advanced Analytics department. The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units. Responsibilities include, but are not limited to:
  • Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse.
  • Design and implement data quality pipelines to ensure data correctness and building trusted datasets.
  • Design and implement a Data Lakehouse solution which accurately reflects business operations.
  • Assist with data platform performance tuning and physical data model support including partitioning and compaction.
  • Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives.
  • Automate and optimize the data lifecycle, find insights from raw data, and applying DevOps principle to data pipelines.
  • Work with business leaders to deliver custom software solutions meeting data needs.
  • Build and support a data platform for data engineering teams to build, deploy and manage applications.

Qualifications
The successful candidate will meet the following qualifications:
  • 5+ years of experience as a Data Engineer designing and maintaining data pipeline architectures.
  • 5+ years of in-depth programming experience in Python and SQL.
  • 5+ years in software development lifecycle experience with software engineering, development, testing, version control, refactoring, and deployment.
  • Experience with common Python Data Engineering packages including pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing a Data Lakehouse using Apache Iceberg or Delta Lake.
  • Experience with data platform architecture responsible for high-level design, strategy and implementation of data infrastructure, including data modelling, designing scalable architectures and ensuring data governance, security and compliance.
  • Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object Storage.
  • Experience with AWS, Snowflake, dbt and Airbyte is preferred.
  • Experience with infrastructure as code, building consistent and repeatable cloud infrastructure.

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