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Data Engineer Airflow Jobs in Nevada (NOW HIRING)

MDAEdge

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data ... Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data. • ...

IGT

Data Engineer II

Las Vegas, NV

$110K - $132K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar ...

Progressive Gaming

Data Engineer II

Las Vegas, NV

$110K - $132K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar ...

Progressive Gaming

Data Engineer II

Reno, NV

$114K - $137K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar ...

IGT

Data Engineer II

Reno, NV

$114K - $137K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar ...

Pwc

Data Engineer - Senior Associate

Las Vegas, NV · On-site

$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 ...

Photon

Software Engineer Data Platform

Las Vegas, NV · On-site

$110K - $132K/yr

Software Engineer Data Platform Location : Las Vegas, NV (Onsite) Position Summary The Software ... Knowledge of tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL ...

New

Programmers.io

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

... Data Engineering * Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance. * ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt / Airflow ...

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All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Nevada

Data Engineer Airflow information

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 Nevada? For Data Engineer Airflow jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Nevada look for? The top searched job categories for Data Engineer Airflow jobs in Nevada are:
Data Engineer Airflow jobs near you

Senior Data Engineer

MDAEdge

Las Vegas, NV • On-site

$101K - $137K/yr

Full-time

Re-posted 11 days ago

Job description

Job Summary:
MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data Engineer to develop and maintain data pipelines and ELT processes. The role involves collaborating with cross-functional teams, implementing DataOps principles, and ensuring the efficient delivery and governance of data.
Responsibilities:
• Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
• Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats.
• Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
• Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
• Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
• Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
• Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
• Stay up-to-date with emerging technologies and best practices in data engineering.
• Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.
Qualifications:
Required:
• Bachelors degree in computer science, Engineering, or a related field.
• 8 + year experience in data engineering, ELT development, and data modeling.
• 4-7 years of experience in Python.
• Proficiency in using Apache Airflow and Spark for data transformation, data integration, and data management.
• Experience implementing workflow orchestration using tools like Apache Airflow, SSIS or similar platforms.
• Demonstrated experience in developing custom connectors for data ingestion from various sources.
• Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance.
• Experience implementing DataOps principles and practices, including data CI/CD pipelines.
• Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
• Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams.
• Familiarity with data visualization tools Apache Superset and dashboard development.
• Understanding of distributed systems and working with large-scale datasets.
• Familiarity with data governance frameworks and practices.
• Knowledge of data streaming and real-time data processing technologies (e.g., Apache Kafka).
• Strong understanding of software development principles and practices, including version control (e.g., Git) and code review processes.
• Experience with Agile development methodologies and working in cross-functional Agile teams.
• Ability to adapt quickly to changing priorities and work effectively in a fast-paced environment.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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