Data Engineer at Revenue Analytics

Revenue Analytics logo
Revenue Analytics

Data Engineer

Remote

Full Time

#Hospitality

#Product

#SQL

#Python

#ETL

#REST APIs

#Linux Unix

Revenue Analytics is looking for a Data Engineer

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Revenue Analytics is a leader in the revenue management software space. We function as an enterprise SaaS company, helping organizations in the hospitality, media, manufacturing, and passenger rail sectors solve intricate pricing problems. Our team combines advanced analytics with deep strategic expertise to create software that helps our clients optimize their pricing and recover lost revenue. We are currently searching for a Senior Data Engineer to join our travel and hospitality vertical in a full-time, remote capacity.

Key outcomes

  • Design, develop, and maintain scalable data pipelines that support our operational and analytical requirements.
  • Collaborate with data scientists, analysts, and product teams to integrate and transform complex datasets into meaningful insights.
  • Manage the full development life cycle, from initial definition and design to implementation and testing.
  • Identify data sources, create data flow diagrams, and document source-to-target mappings.
  • Extract data from various sources and integrate it into a unified data model or target database application.
  • Build efficient systems that prepare data for easy querying and deliver analysis-ready datasets to production.

Requirements

  • A Master’s degree in computer science, engineering, or a related field with at least 4 years of relevant experience, or a Bachelor’s degree with at least 6 years of experience.
  • Strong proficiency in SQL and Python.
  • Deep understanding of database technology, data modeling, and the use of data within analytical platforms.
  • Practical experience with ETL processes and REST APIs for managing data integration.
  • Familiarity with Linux/Unix environments.
  • Excellent communication skills and the ability to work collaboratively in a team setting.
  • Strong critical thinking skills with a proactive approach to problem-solving and task prioritization.
  • Fluency in English.

Preferred qualifications

  • Prior experience working directly with customers in a SaaS environment is highly desirable.

Compensation

We offer a competitive base salary and a comprehensive benefits package designed to support our employees and their families. Our benefits include:

  • 100% paid medical, dental, and vision insurance for employees and their families.
  • 100% paid life insurance, along with long and short-term disability coverage.
  • A 401k plan with a generous match that vests immediately.
  • Flexible remote work arrangements.
  • An open PTO policy plus 9 paid holidays.
  • Company-issued laptop and a cell phone or phone allowance.
  • Gym membership reimbursement.

How to apply

If you are interested in joining our team and contributing to our mission, please submit your application through our official portal. We look forward to reviewing your qualifications and discussing how your background aligns with our goals.

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Revenue Analytics

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