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Data Engineer Data Jobs in Nevada (NOW HIRING)

Sr. Engineer - Data Security

Las Vegas, NV · On-site

$109K - $149K/yr

Company Description 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 ...

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 ...

Data & Software Engineer

Las Vegas, NV · On-site

$104K - $125K/yr

The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This ...

Data & Software Engineer

Las Vegas, NV · On-site

$104K - $125K/yr

The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This ...

Data & Software Engineer

Las Vegas, NV

$104K - $125K/yr

The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This ...

You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

AI Engineer Senior Consultant

Las Vegas, NV · Hybrid

$99K - $137K/yr

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

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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:
Sr. Engineer - Data Security

Sr. Engineer - Data Security

Wynn Resorts

Las Vegas, NV • On-site

$109K - $149K/yr

Full-time

Posted 25 days ago


Wynn Resorts rating

7.5

Company rating: 7.5 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

37th of 140 rated casinos


Job description

Company Description
Job Description
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 role will be key in assuring effective enforcement of company data processing policy and utilization of advanced data security control systems.
Job Responsibilities
  • Operationalize company policies regarding storage, transmission, and destruction of data.
  • Operationalize company policies regarding classification of data with appropriate levels of access by user, device, and location.
  • Develop procedures, guidelines, and implementation of necessary tools to operationalize and enforce the corporate data classification and data loss prevention program.
  • Apply sensitivity labels to unstructured files to ensure proper classification and protection of critical information.
  • Enforce technical and procedural controls to govern and restrict the movement of sensitive data within and outside the organization.
  • Recommend, implement, and manage procedures and tools for data protection, retention, and lifecycle management in accordance with regulatory and internal standards.
  • Continuously monitor Wynn-hosted structured data systems to ensure compliance against company security standards (encryption, obfuscation, privileged access, etc.).
  • Ensure the encryption of sensitive data, both at rest and in transit, across all relevant systems and platforms.
  • Restrict the use of production data strictly to its intended environment, preventing unauthorized access or replication in non-production areas.
  • Maintain and update inventories of applications and systems that store or process sensitive data.
  • Map access to sensitive data, monitoring permissions, roles, and user activity to support robust access control and auditing.
  • Develop metrics for the department and opportunities for improvement.
  • Other duties as assigned.

Qualifications
  • College diploma or university degree in computer/data science or IT management and/or 7 years of equivalent work experience
  • Hands-on experience and practical understanding of unstructured data storage systems is required, including Network-Attached Storage systems, SMB/CIFS shares, and cloud-based file collaboration systems (Google Drive, OneDrive, Box, etc.)
  • Unstructured: Understanding of volume shadow copies / previous versions, immutable backups, etc.
  • Hands-on experience and practical understanding of structured data storage and processing systems is required, including on premises and cloud-based Database Management Systems (MySQL, MSSQL, OracleDB, etc.)
  • Practical understanding of permissions, roles, groups, users, and Non-Human Identity (NHI) as it relates to authorized and unauthorized access to sensitive data in various applications, SaaS, file shares (NTFS permissions), etc.
  • Ability to create and manage high quality and accurate documentation is a must
  • Excellent written and oral communication and presentation skills for leadership, technical, and business audiences
  • General ability to pull data from database tables, database views, application sources, and other data stores for the purpose of compliance reporting
  • Understanding of database table relationships, primary/foreign key handling, and broad effects of modifying, manipulating, or deleting data in a DBMS is preferred
  • Understanding of structured data recovery techniques, transaction log handling, database replication, immutable backups, etc. is preferred
  • Understanding of the fundamentals of data minimization and electronic records management is preferred
  • Familiarity with industry standard tools for Data Loss Prevention, Sensitivity Labeling, and Record Identification is preferred
  • Understanding of project management principles including problem statements, use cases, success criteria, is preferred
  • High level of personal integrity and ability to show an appropriate level of judgment and maturity
  • Poise and ability to act calmly and competently in high-pressure, high-stress situations
  • Must be a critical thinker with strong problem-solving skills
  • Detail oriented, self-motivated and disciplined, with excellent time management skills

Additional Information
Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws.

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