Data Engineer
Data Engineer
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
A pioneer within the revenue management ecosystem Revenue Analytics is an enterprise SaaS company that partners with hospitality media manufacturing and distribution and passenger rail companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience Revenue Analytics nextgeneration software delivers intuitive answers to help companies perfect their pricing reclaim missed revenue and take back their time. We are currently seeking a Data Engineer to join our travel & hospitality vertical.
As a Data Engineer you will be responsible for designing developing and maintaining scalable data pipelines ensuring efficient data storage and processing to support our analytical and operational needs. You will work closely with data scientists analysts and product teams to support the integration and transformation of complex datasets into actionable insights. By leveraging modern data architecture and tools you will play a crucial role in enhancing the accuracy and efficiency of our revenue management processes.
Responsibilities:
Participates in the fulllife cycleof developmentthroughdefinition design implementationandtesting
Collaborates with data science and engineering teams to produce optimal analytical solutions
Identifies data sources provides data flow diagrams and documents sourcetotarget 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
Success in the Role:
Exhibits solid critical thinking skills the ability to synthesize complex problems and a talent for transforming data to create solutions that add value to a myriad of business requirements. They do not shy away from issues but rather has a strong desire to correct them quickly.
Effective communicator and highly collaborative. They do not leave room for others to misinterpret.
Uses prioritization and organizational skills to handle heavy workloads. They do not get overwhelmed easily.
Overcomes obstacles and is adaptable. They are not resistant to challenges or change.
Above all things a successful Data Engineer upholds Revenue Analytics core values vision and mission.
Requirements:
Masters degree in computer science information technology engineering or a related technical field and 4 years of relevant technical experience; or a bachelors 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 andREST APIsfor creating and managing data integration jobs
Experience or knowledge working with Linux/Unix systems
Experience with direct customer interaction in a SaaS based environment preferred
Outstanding Benefits & Perks
Competitive base salary
100 paidhealthcare including medical dental and vision coverage for ouremployees and their families
100 paidLife insurance long and shortterm disability coveragefor team members
401k plan with a generous match and is vestedimmediately
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
Employment Type
Full-Time
Key Skills
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