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

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

... Airflow, Azure Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data Experience with CI/CD, Git, and DevOps best practices Proven experience designing ...

Kanak Elite Services Inc

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 ...

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue * Experience working with both structured and unstructured data * Experience with CI/CD, Git, and DevOps ...

Arva Intelligence

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 ...

Arva Intelligence

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 ...

NAVA Software Solutions

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 ...

Arva Intelligence

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 ...

Inizio Partners

Data Engineer- MDM

Houston, TX

$109K - $131K/yr

Role: Data Engineer, MDM Technical Skills: Databricks, Python, PySpark, Airflow, Linux, AWS/GCP, reporting/visualization (Tableau, SSRS, Power BI, etc.) Experience: Consulting skills, MDM , data ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

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 ...

SANS

Senior AWS Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Build serverless compute layers using Lambda, Step Functions, and Airflow. Design data lake storage ... data engineering experience Expert Python data transformation, boto3, async processing Deep ...

AgileEngine

Senior Data Engineer ID75059

Houston, TX · On-site +1

$101K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ...

DPR Construction

PCA Data Engineer

Houston, TX · On-site

$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 ...

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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
Data Engineer

Data Engineer

Strategic Staffing Solutions

Houston, TX

$109K - $131K/yr

Other

Posted 9 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions. The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions

Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience) 10+ years of Data Engineering experience Expert-level Python and SQL development Experience designing and building scalable ETL/ELT data pipelines Strong experience with AWS, Azure, or GCP Experience with distributed data processing technologies such as Spark or Databricks Experience with data modeling, data architecture, and data integration Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data Experience with CI/CD, Git, and DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines Experience building data solutions supporting analytics, AI, or machine learning workloads Strong troubleshooting and root cause analysis skills Demonstrated experience providing technical leadership and mentoring Data Engineers Excellent verbal and written communication skills Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments Key Responsibilities Design, develop, and optimize scalable cloud-based data pipelines and platforms Translate complex business requirements into technical solutions Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions Lead the design and implementation of scalable, secure, and maintainable data architectures Improve existing data infrastructure through automation and engineering best practices Ensure data quality, governance, reliability, and platform performance Troubleshoot production issues and perform root cause analysis Mentor junior and mid-level Data Engineers while providing technical leadership Drive engineering standards, documentation, and code quality

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