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

Truity Credit Union

Data & AI Engineer

Houston, TX

$110K - $133K/yr

Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows ... engineering, analytics, or scripting-heavy roles . * 2+ years working with AI/ML tools or ...

Par Pacific

Data Analyst

Houston, TX · On-site

Experience with Apache Airflow or other data orchestration tools preferred * Experience with statistical tools and predictive analytics is highly preferred * GCP Professional Data Engineer or ...

ACCLiiVE

Platform Engineer (Databricks)

Houston, TX · On-site

Houston Required Skills & Experience 5+ years in data engineering or platform engineering, with at ... Strong Python/PySpark and SQL skills; familiarity with DLT, Airflow, or Databricks 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 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 Airflow jobs near you

Sr. Data Ops/Data Platform Administrator

SM-Energy Company

Houston, TX • On-site

$121K - $150K/yr

Full-time

Medical, Retirement

Posted 10 days ago

Job description

We are looking for a Senior DataOps/Data Platform Administrator to manage and maintain our hybrid data ecosystem. This is a hands-on role focused on the stability, performance, and day-to-day operations of both our on-premises and cloud-based data tools. You will be the primary gatekeeper of our data infrastructure, ensuring that our systems —from Source to Delivery—are available, performant, and secure. Your goal is to manage the environment so effectively that our data engineers can focus entirely on building data products within a stable, secure framework.

Primary Responsibilities

On-Premises Administration (Denodo and SQL Server)

  • System Maintenance: Execute regular upgrades, patching, and configuration of VDP servers to ensure environment stability.
  • Operational Health: Monitor system uptime and manage environment-specific settings across Dev, QA, and Production.
  • Performance Tuning: Manage caching and resource allocation to maintain optimal query speeds for the business.
  • Troubleshooting: Act as the Tier 3 point of escalation for any data connectivity or performance issues.

Cloud Platform Administration (Snowflake & Databricks)

  • Access Control: Day-to-day management of Role-Based Access Control (RBAC), user provisioning, and security integrations.
  • Cost Management: Monitor Snowflake credit usage and Databricks consumption; manage resource monitors and alerting to prevent budget overages.
  • Service Maintenance: Oversee the operational health of cloud services.

Orchestration & Transformation Support (Astro/Airflow, Fivetran and dbt Cloud)

  • Environment Management: Manage deployments for Astro/Airflow, ensuring environment variables and secrets are correctly configured and updated.
  • Job Oversight: Monitor dbt Cloud job runs, manage environment configurations, and troubleshoot integration issues between dbt and Snowflake.
  • CI/CD Maintenance: Maintain existing CI/CD pipelines to ensure code moves from development to production without manual intervention.

Platform Reliability & Guardrails

  • Operational Standards: Maintain the "guardrails"—security policies, naming conventions, and deployment standards—that keep the platform organized.
  • Documentation: Keep system documentation, environment diagrams, and administrative procedures up to date.
  • Support: Ensure the data engineering team has the necessary permissions and stable environments required to meet their delivery timelines.

Technical Profile

  • Experience: 5+ years in a Systems Admin, Database Admin (DBA), or DataOps role.
  • Denodo Admin: Practical experience managing on-prem Denodo with a focus on data delivery and performance tuning.
  • Cloud Admin: Strong administrative background in Snowflake (managing warehouses, roles, and usage) and familiarity with Databricks.
  • Tooling: Proficient in dbt Cloud, Fivetran, and Airflow.
  • Skills: Strong understanding of SQL, Git/DevOps, and basic CI/CD pipeline maintenance.

Why This Role?

This is a critical "Specialist" position. You will own the health of a sophisticated, high-growth data stack. If you enjoy the challenge of managing a hybrid environment and take pride in building highly available, "bulletproof" systems, this is the role for you.


SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers :: SM Energy Company (SM) (sm-energy.com).

Applications will be accepted on an ongoing basis until the position is filled.