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Airflow Developer Jobs in Texas (NOW HIRING)

DLRdmv

SQL Developer

Dallas, TX · On-site

$44 - $60.25/hr

Schedule and monitor SSIS jobs via SQL Server Agent or AWS SSM/Airflow. * Collaborate with analysts and developers to design normalized/denormalized schemas and data marts. * Participate in code ...

DLRdmv

SQL Developer

Dallas, TX · On-site

$44 - $60.25/hr

Schedule and monitor SSIS jobs via SQL Server Agent or AWS SSM/Airflow. * Collaborate with analysts and developers to design normalized/denormalized schemas and data marts. * Participate in code ...

DLRdmv

SQL Developer

Dallas, TX

$44.75 - $61.25/hr

Schedule and monitor SSIS jobs via SQL Server Agent or AWS SSM/Airflow. * Collaborate with analysts and developers to design normalized/denormalized schemas and data marts. * Participate in code ...

Patterson-UTI

DevOps Engineer NEX

Houston, TX · On-site

$50.25 - $69/hr

We are seeking a DevOps Engineer to help streamline our development and deployment processes on ... Composer/AIrflow * Kubernetes: deployment, scaling, reliability patterns * Observability : GCP ...

SRS Consulting Inc

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Senior Data Engineer with Snowflake Location: SFO, CA // Dallas, TX (Hybrid 2 days) Duration ... Develop, deploy, and manage data pipelines using Snowflake, SQL, dbt, and Airflow Build and ...

Tata Consultancy Services

API Automation

Dallas, TX · On-site

$100K - $110K/yr

API Automation • 10+ years of backend engineering experience with strong Java fundamentals • ... Airflow for orchestration and workflow scheduling • Legacy ETL modernization and pipeline ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

... Apache Airflow, Spark, Ray, MLflow, Chronon, etc. What you'll be doing * Lead the design and ... DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems

Donato Technologies, Inc

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Site Reliability Engineer SRE - ML platform Location: Austin, TX OR Sunnyvale, CA Title: Site ... Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with ...

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Airflow Developer information

What are Airflow Developers?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

What are the key skills and qualifications needed to thrive as an Airflow Developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow Developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
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Airflow Developer jobs near you
Looking for Tableau Developer @ Plano, TX

Looking for Tableau Developer @ Plano, TX

Lorven Technologies

Plano, TX • On-site

Other

Posted 3 days ago

Job description

Hi,
This is Karthikeyan form Lorven Technologies.
Title - Tableau Developer
Location - Plano, TX (onsite)
Experience - 5 to 8 years
Skills: Python, RestAPIs, Debugging Production, SQL, ELT/ETL
Job Description:We are seeking a Forward Deployment Engineer (FDE) who acts as a customer-facing engineer, working closelywith clients to deploy, customize, and operationalize advanced software/data platforms. The role requires strong software engineering, data problem-solving, and client interaction skills, bridging the gap between product engineering and real-world customer use cases.
Required Skills

  • Strong software engineering skills in Python (primary)
  • Solid experience with SQL and relational / analytical databases
  • Experience working with data pipelines, ETL/ELT, APIs, and integrations
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)
  • Ability to work in customer-facing roles and explain complex systems clearly
  • Strong problem-solving mindset with the ability to work in ambiguous environments
  • Experience deploying solutions in production environments
Key Responsibilities
  • Work directly with customers and stakeholders to understand business problems and translate them into technical solutions
  • Deploy, configure, and customize data platforms, analytics solutions, or enterprise software
  • Build data pipelines, integrations, and custom workflows using Python, SQL, APIs, and cloud services
  • Rapidly prototype and iterate solutions in customer environments
  • Support end-to-end delivery: design → implementation → deployment → production support
  • Collaborate with core product/engineering teams to influence product roadmap based on field learnings
  • Troubleshoot complex data, performance, and integration issues
  • Provide onboarding, enablement, and technical guidance to customer teams
Good to Have
  • Experience with distributed systems or big data frameworks (Spark, Kafka, Airflow)
  • Exposure to ML/AI workflows or analytics platforms
  • Experience in consulting, platform deployment, or solutions engineering
  • Knowledge of DevOps, CI/CD, Docker, Kubernetes
  • Prior experience in industries such as manufacturing, energy, healthcare, or finance
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
Key Traits for an FDE
  • Customer-first mindset
  • Strong ownership and execution focus
  • Comfortable switching between code, architecture, and client conversations
  • Able to operate independently with minimal hand-holding
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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