Company Description
Job Description
Wynn Las Vegas, a leading luxury brand, seeks an experienced and detail-oriented Data Engineer to join our Casino Marketing team.
The successful candidate will specialize in improving data quality and ensuring the reliability of datasets, exploring and integrating new technologies to enhance the analytics data ecosystem, and defining and enforcing schema within the Analytics data ecosystem.
This role requires a strong technical background and a passion for data integrity and innovation.
Key Responsibilities :
Data Quality and Reliability :
- Enhance data quality by developing and implementing robust data validation processes.
- Monitor data pipelines to ensure the reliability and accuracy of datasets.
- Troubleshoot and resolve data issues to maintain high standards of data integrity.
Technology Integration :
- Explore, evaluate, and integrate new technologies to enhance the analytics data ecosystem.
- Stay current with industry trends and best practices in data engineering and analytics.
- Implement innovative solutions to improve data processing and analysis capabilities.
Schema Definition and Enforcement :
- Define and enforce schema within the Analytics data ecosystem.
- Ensure consistency and standardization of data structures across different data sources.
- Collaborate with data scientists, analysts, and other stakeholders to design and implement effective data models.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; advanced degree is a plus
- Proven experience in data engineering, with a strong focus on data quality and reliability
- Proficiency in SQL and experience with database management systems
- Experience with data integration tools and ETL processes (e.g., Airflow)
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud)
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and manage multiple tasks simultaneously
- Visa Sponsorship is not available for this role
- Local candidates highly preferred
Benefits :
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision insurance
- Retirement savings plan with employer match
- Generous paid time off and holiday schedule
- Employee discounts on accommodations, dining, and entertainment at Wynn properties
- Work on a high performance and nurturing team
- Endless amounts of career growth opportunities within the Wynn Enterprise
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.
Flight Test Data Processing Engineer - Level 3 - Security Clearance Required
Flight Test Data Processing Engineer. Your contributions will support daily Flight Test Data Center operations by preparing and post-processing flight test data products, interacting directly with the customer, and acting as system administration and IT system build expert. Data processing expertise...
Analytic Data Engineer – Databricks
This role within the 'Data Engineering & Self-Service Products' team involves architecting and engineering analytic data solutions, including designing and developing data marts in Databricks using PySpark or Spark SQL, building interactive Power BI dashboards to visualize KPIs and trends, and creat...
Sr. Data Engineer
Senior Data Engineer to assist with the development and implementation of systems leveraging structured and unstructured data to deliver data and data science solutions at scale. PythonUnderstanding of data warehouse, data lakes and master data management approaches, ETL industry standards, and best...
Data Engineer (Corporate) - Las Vegas
The Data Engineer is a data and technology expert supporting the broader Data Engineering team. The primary responsibility of a Data Engineer is to develop, maintain, and support data ingestion pipelines. Candidates that succeed in this role have a passion for technology and innovation, and understa...
Senior Big Data Engineer
In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Align with security, da...
Lead Mechanical Engineer (Mission Critical/Data Center)
Bachelor’s degree in Mechanical Engineering or Architectural Engineering with mechanical building systems emphasis . W Mission Critical Engineering, a member of WSP USA. As a Mechanical Engineer with us, you will design complex cooling and HVAC systems including air distribution systems, chiller pla...
Data Engineer
The primary responsibility of the Data Engineer is to design, develop, implement, and support core systems that enable the acquisition, curation, modeling, and consumption of data for data integration, data analytics and data science within the company. Development of high-quality code for the core ...
Cloud Data Engineer Senior Consultant
Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft ...
Lead Electrical Engineer (Mission Critical/Data Center)
As a Lead Electrical Engineer with us, you will design complex power and other building systems including generator plants, medium voltage distribution, uninterruptible power systems, lighting, fire alarm, and grounding while leading projects and a team of electrical engineers. Bachelor’s degree in ...
Data Engineer
The successful candidate will specialize in improving data quality and ensuring the reliability of datasets, exploring and integrating new technologies to enhance the analytics data ecosystem, and defining and enforcing schema within the Analytics data ecosystem. Proven experience in data engineerin...