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Data Engineer Data Jobs in Nevada (NOW HIRING)

Lead Data Engineer

Las Vegas, NV

$98K - $129K/yr

Data Lead (Snowflake, Airflow) Las Vegas, NV * We are seeking an experienced Technical Lead to drive our data engineering initiatives and lead a team of 5-6 engineers. * This role requires a blend of ...

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

The Senior Data Engineer provides technical leadership in the architecture, development, and operational management of enterprise data platforms and integration services that enable data-driven ...

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

As a Senior Data Engineer, you will be responsible for : * Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs ...

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Sr. Engineer - Data Security

Las Vegas, NV

$109K - $149K/yr

The Sr. Engineer - Data Security is responsible for technical design and execution of the Data Security Program for Wynn Resorts. Reporting to the Executive Director of Information Security, this ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Nevada? For Data Engineer Data jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Data Engineer Data jobs? Cities in Nevada with the most Data Engineer Data job openings:
Lead Data Engineer

$98K - $129K/yr

Other

Posted 10 days ago


Job description

Data Lead (Snowflake, Airflow)

Las Vegas, NV

  • We are seeking an experienced Technical Lead to drive our data engineering initiatives and lead a team of 5-6 engineers.
  • This role requires a blend of hands-on technical expertise and leadership capabilities.

Key Responsibilities

  • Lead and mentor a team of 5-6 data engineers, fostering technical growth and collaboration
  • Design and implement scalable data pipelines using Apache Airflow ( experience with Airflow 3 is preferred).
  • Understanding of Snowflake architecture.
  • Integrate and maintain real-time streaming applications using Apache Kafka / Spark Streaming
  • Build and integrate APIs across multiple systems and platforms
  • Drive technical decision-making and establish best practices
  • Ensure code quality through reviews and implementation

Required Qualifications

  • 7-8+ years of hands-on experience in data engineering or related fields
  • Strong proficiency in:
    • Apache Airflow (DAG development, workflow orchestration)
    • Snowflake
    • Advanced SQL (complex queries, performance tuning)
    • Apache Kafka (streaming, event-driven architectures)
    • API development and integration (REST/SOAP)
  • Proven experience leading technical teams (3+ years preferred)
  • Strong problem-solving and communication skills
  • Experience with Agile/Scrum methodologies

What We Offer

  • Opportunity to lead impactful data initiatives
  • Collaborative and innovative work environment