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Data Engineer
  • Python
  • SQL
  • Java
  • Tableau
  • Data Visualization
  • ETL
  • Modeling
  • Power BI
  • Azure
Schulte Hospitality
Louisville, KY 40245
138 days ago
Data EngineerBring your expertise to an environment that values collaboration and quick implementation of your ideas and insights! We are looking for a Data Engineer to drive vital business decisions. You will be responsible for leading efforts to collect data, perform analysis, and communicate insights to company leadership and key stakeholders.

  • Design, develop and deploy infrastructure to support the overall data environment, including data pipeline, aggregation, modeling, and warehousing solutions.
  • Provide operational oversight, monitoring and problem resolution of active data infrastructure & pipelines.
  • Gather requirements for new data pipeline requests from the business and translate these requests into technical data requirements.
  • Extract, clean, and manage large data sets.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • Build and maintain dashboards, reports, and metrics to monitor the performance of our hotels.
  • Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and gain key insights into the workings of our business.
Minimum Qualifications
  • Bachelor's Degree in Computer Science, Math, Engineering, or related quantitative field
  • 5+ years experience as a data engineer, data analyst, data scientist, or related role
  • Expertise in SQL and programming languages, such as Java or Python
  • Expertise with ETL tools (e.g., SSIS, Pentaho, Power Query, Alteryx)
  • Proficiency with building cubes, data visualization, and dashboard tools (e.g. de Facto, Power BI, Tableau, etc.)
  • Ability to initiate and drive projects to completion with minimal guidance
  • Ability to communicate the results of analysis effectively to all levels of the organization (e.g., leadership, board, staff, business partners, etc.)
Stand Out Qualifications
  • Master's degree in Computer Science or related quantitative field
  • Hospitality industry experience, including hotel metrics
  • Experience with HAPI, Oracle Opera, Delphi.fdc, and other hospitality systems
  • Python/R experience
  • AWS, Azure, or related cloud experience

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