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Data Engineer With Jobs in Nevada (NOW HIRING)

Lead Data Engineer

Las Vegas, NV · On-site

$98K - $129K/yr

Design and implement scalable data pipelines using Apache Airflow ( experience with Airflow 3 is ... data engineering or related fields * Strong proficiency in: * Apache Airflow (DAG development ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases. Critical Skill Priorities (In ...

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

The Senior Data Engineer partners with business and technology stakeholders to advance enterprise data capabilities while ensuring compliance with departmental standards and MGM Resorts' policies ...

Data Engineer - Manager

Las Vegas, NV · On-site

$99K - $232K/yr

With your growing knowledge of how business works, you play an important role in identifying ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client. Are you on the lookout for a unique career opportunity that offers ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... with clients to understand their data requirements and deliver actionable insights - Utilizing ...

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

Fusion HCR is seeking a highly skilled Data Engineer to design, enhance, and support innovative ... The role involves creating and maintaining large-scale data-centric systems, collaborating with ...

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

Data Governance- Manager

Las Vegas, NV · On-site

$99K - $232K/yr

With your growing knowledge of how business works, you play an important role in identifying ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

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Data Engineer With information

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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 expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Nevada? For Data Engineer With jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Data Engineer With jobs? Cities in Nevada with the most Data Engineer With job openings:
Lead Data Engineer

Lead Data Engineer

Photon

Las Vegas, NV • On-site

$98K - $129K/yr

Other

Re-posted 3 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