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Data Engineer - Full time Job - On-site at Las Vegas, NV

Please email your word copy resume to sai@quintalent.com. Salary range is $85k to max $110k plus benefits package and it’s 100% on-site at Las Vegas. Relocation assistance is applicable between $5k up to maximum of $25k upon submission of receipts.

The primary responsibility of the Data Engineer II – Enterprise Analytics is assisting in designing, developing, and deploying data-driven solutions as part of Enterprise Analytics data strategy and goals. Data Engineer II – Enterprise Analytics is responsible for creating reliable ETLs and scalable data pipelines to support Analytics and BI environment (including modeling and machine learning, visualizations, reports, cubes & applications, etc.). Data Engineer II – Enterprise Analytics participates in data modeling and development of data models and data marts by interpreting business logic required to turn complex ideas into a sustainable value add processes.

Position Overview Essential Duties & Responsibilities

• Collaborate with Enterprise Analytics BI Analysts and Data Scientists, and other business stakeholders to understand business problems and build/automate data structures ingested by analytics products (e.g.: reports, dashboards, cubes, etc.). • Create BI solutions, including dashboards (Power BI) and reports (SSRS, Excel, and Cognos). • Development of logic for KPIs requested by the business leadership. • Troubleshoot existing and create new ETLs, SSIS packages, SQL stored procedures and jobs. • Assist in Star and Snowflake modeling, creating dimensional models and ETL processes. • Write an efficient SQL code for use in data pipelines and data processing. • Drive data quality processes like data profiling, data cleansing, etc. • Develop best practices and approaches to support continuous process automation for data ingestion and data pipelines. • Use innovative problem solving and critical thinking approaches to troubleshoot challenging data obstacles. • Test, optimize, troubleshoot, and fine-tune queries for maximum efficiency. • Maintain existing and create new Microsoft Power Apps solutions (including but not limited to Power Apps, Power Automate, Power BI, Flows, etc.) according to business needs. • Perform QA and UAT processes to foster an agile development cycle. • Create documentation on table design, mapping out steps and underlying logic within data marts to facilitate data adoption with minimum guidance from the Enterprise Analytics management. • Identify areas of improvement not just in owned work, but also other areas of the business. • Mentor and train junior Data Engineers on best practices, query and ETL optimization techniques. • Create and maintain daily, weekly, monthly, quarterly reports and dashboards. • Consolidate fractured enterprise reporting into a standardized product for easy visualization and cross-departmental understanding. • Create reporting structures that accurately link cross-departmental data, which allows for on demand delivery of ad-hoc reports. • Safety is an essential function of this job. • Consistent and regular attendance is an essential function of this job. • Performs other related duties as assigned. Company Standards of Conduct All The Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the Company’s standards, work requirements and rules of conduct.

Minimum Qualifications • 21 years of age. • Proof of authorization/eligibility to work in the United States. • Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or related field is required. • Master’s degree in related discipline is preferred. • Must be able to obtain and maintain a Nevada Gaming Control Board registration and any other certification or license, as required by law or policy. • 2+ years of experience in building data pipelines and ETL processes is required. • 2+ years of experience creating visualizations and reports (Power BI, Tableau, MicroStrategy, Google Analytics) is required. • 2+ years of experience in writing advanced SQL, data mining and working with traditional relational databases (tables, views, window functions, scalar and aggregate functions, primary/foreign keys, indexes DML/DDL statements, joins and unions) and/or distributed systems (Hadoop, Big Query) is required. • 1+ years of experience with programming/scripting languages such as Python, R or Big Query is required. • Experience in either Microsoft Power Suite (Power Apps, Power Automate, Power BI, etc.), Microsoft Azure, Google Cloud Platform, or RPA tools is preferred. • Excellent understanding of data types, data structures and database systems and their specific use cases is required. • Strong understanding of data modeling principles including Dimensional modeling, and Data Normalization principles is required. • Extensive knowledge of Microsoft Excel (Excel formulas, data wrangling, VBA macros, graphs, and pivot tables) is required. • Excellent critical thinker and effective problem solver with creative solutions.

Physical Requirements Must be able to: • Lift or carry 10 pounds, unassisted, in the performance of specific tasks, as assigned. • Physically access all areas of the property and drive areas with or without a reasonable accommodation. • Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts. • Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts. • Ability for prolonged periods of time to walk, stand, stretch, bend and kneel. • Work in a fast-paced and busy environment. • Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke

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