Data Engineer in Las Vegas, NV at Wynn Careers

Date Posted: 10/8/2021

Job Snapshot

Job Description

Wynn Resorts seeks to create a system of data, analysis and actions to better attract guests and scale the highly personalized services and experiences that top guests know Wynn resorts for, thereby driving greater loyalty and frequency while also selling more services through ever-increasing levels of personalization. 

The Data Engineer will create and manage data pipelines which turn data into knowledge

Roles and responsibilities for the Data Engineer are:

  • Participate in architecture development and solution design sessions
  • Develop data assets (ETL/ELT pipelines, data structures etc.) on Wynn’s cloud infrastructure
  • Drive data quality processes like data profiling, data cleansing etc.
  • Guide other data engineers in the team
  • Participate in requirements sessions and data analysis
  • Convert business requirements for information to technical specifications for data ingestion solutions
  • Define, design & implement different data ingestion patterns based on business needs & requirements
  • Participate in data modeling & contribute to the development of data models
  • Participate in data governance initiatives
  • Ensure data integrity & quality is maintained throughout the solution; develop data quality solutions as part of the data flow
  • Document data flows and other design specifications
  • Evaluate best-fit data ingestion, integration & replication tools for cloud-based data analytics use cases
  • Implement real-time data transfers to ensure data is made available to the business at the right time & the right place
  • Maintain & support the data ingestion tools & solutions

Job Requirements

The ideal candidate will possess the following skills, experiences and qualifications

  • Proven experience as a data engineer in an Azure cloud-based data analytics project; at least 2 similar project experience
  • Hands-on experience in cloud-based data ingestion tools (specifically on the Microsoft Azure and Snowflake platforms)
  • Strong knowledge of Delta Lakehouse concepts
  • Understanding & the ability to evaluate new age & best fit tools that may be new in the market (Qlik Replicate, DataBricks, Azure Data Factory)
  • Strong knowledge & experience in cloud-based data warehousing & analytics
  • Strong understanding of data models
  • Familiarity with BI and analytics
  • Experience with programming languages like SQL, Python, Spark etc.
  • Proven abilities to take initiative and be innovative
  • Analytical mind with a problem-solving aptitude


The ideal candidate will possess the following performance characteristics:

  • A passion for demonstrating the art of the possible in terms of how data and technology enable world-class customer experiences and drive customer loyalty.
  • Track record of success influencing without direct authority and balancing between competing priorities while remaining flexible and creative.
  • Strong ability to build and strengthen team engagement and align resources to strategy, key tactics and measures; proven ability to establish clear aligned goals and objectives with a timely feedback loop.
  • Outstanding written and verbal communication skills with the ability to work up, down and across organizational levels. The ideal candidate will have a direct, but tactful communication style.
  • Strong business acumen and problem-solving skills, along with the ability to assess current practices, identify opportunities for improvement, build consensus and drive the implementation of related changes.


BSc / BA in computer science, engineering, or relevant field 


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