Data Engineer

Revenue Analytics, Inc. Logo

Revenue Analytics, Inc.

๐Ÿ“Remote - United States

Summary

Join Revenue Analytics, a leading enterprise SaaS company, as a Data Engineer specializing in the travel and hospitality sector. You will design, develop, and maintain scalable data pipelines, ensuring efficient data storage and processing for analytical and operational needs. Collaborate with data scientists, analysts, and product teams to transform complex datasets into actionable insights. Leverage modern data architecture and tools to enhance the accuracy and efficiency of revenue management processes. This role requires strong analytical and data modeling skills, proficiency in SQL and Python, and experience with ETL tools and REST APIs. We offer competitive benefits, including 100% paid healthcare, life insurance, a 401k plan, and flexible work arrangements.

Requirements

  • Masterโ€™s degree in computer science, information technology, engineering or a related technical field and 4+ years of relevant technical experience; or a bachelorโ€™s degree and 6+ years of relevant technical experience
  • Strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms
  • Must have strong programming skills with SQL and Python
  • Good understanding of ETL tools and REST APIs for creating and managing data integration jobs
  • Experience or knowledge working with Linux/Unix systems

Responsibilities

  • Participates in the full life cycle of development, through definition, design, implementation, and testing
  • Collaborates with data science and engineering teams to produce optimal analytical solutions
  • Identifies data sources, provides data flow diagrams, and documents source-to-target mappings and processes
  • Extracts data from multiple sources, integrates disparate data into a common data model, and integrates data into a target database application, or files using efficient programming processes
  • Helps build systems and processes to get the data into a format where it can be queried easily for insights
  • Designs, plans, and delivers analysis ready data sets to production

Preferred Qualifications

Experience with direct customer interaction in a SaaS based environment

Benefits

  • Competitive base salary
  • 100% paid healthcare including medical, dental, and vision coverage for our employees and their families
  • 100% paid Life insurance, long and short-term disability coverage for team members
  • 401k plan with a generous match and is vested immediately
  • Company issued cell phone or phone allowance and laptop
  • Open PTO plan (take what you need!) and 9 paid holidays
  • Gym membership reimbursement
  • Flexible work arrangements

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