More than 12,000 hotels bank on Revinate to power unforgettable guest experiences and drive direct revenue.
Data Warehouse Engineer
Location
United States
Posted
15 days ago
Salary
$110K - $120K / year
Seniority
Senior
Job Description
Data Warehouse Engineer
Revinate
• Define and align on critical business metrics by collaborating closely with department leaders. • Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases. • Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate seamless data transfers. • Build and maintain a data warehouse (e.g., BigQuery). • Use business intelligence tools (e.g., Looker) to establish data models and create.
Job Requirements
- Bachelors degree in relevant field
- At least three years of relevant experience working with data warehouses and business intelligence platforms
- Meaningful experience with the following technologies:
- Python (or a similar language)
- Apache Airflow
- Google BigQuery
- SQL
- Experience in Cloud Data Warehouses
- Familiarity with Data ecosystems
Benefits
- Competitive Health Benefits:** Revinate offers multiple insurance options, including an employee premium paid 100% by Revinate
- Paid Family & Parental Leave:** A comprehensive paid leave program, ensuring you have the time you need.
- Family Building Benefits: **Revinate offers multiple medical plans, including a buy-up option with $20,000 of coverage for medically necessary fertility treatments.
- Excellent Dental and Vision Benefits**
- 401(k) Program:** Includes an employer match
- Optional plans for Short & Long Term Disability insurance, as well as Life insurance**
- Paid Flex time off**
- Employee Assistance Program (EAP)**
- Perks:** Monthly work from home stipend, Telehealth access, Peloton benefits and many more.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Join a mission-driven health technology company building a global evidence network • Part of a core data engineering team responsible for designing and operating pipelines • Ingest, transform, and standardize real-world health data • Translate complex source data structures into recognized healthcare data standards (FHIR, OMOP-CDM) • Ensure data quality, security, and scalability across the platform • Work in a fast-paced, engineering-led environment
• Own the blueprint for the next-generation Jellyfish data platform. • Design and automate strict, code-driven environment isolation boundaries. • Modernize workflow orchestration and distributed compute engines. • Partner with application teams to ensure secure, cached API layers. • Build and maintain granular data-quality monitors and cost-allocation frameworks.
• Write clean, modular Python and optimized SQL for data transformations. • Manage and tune workflow orchestration engines (like Prefect or Dagster). • Use Terraform for infrastructure deployment and management. • Collaborate with developers for API and caching integration. • Participate in incident response rotation for pipeline issues.
• Maintain end-to-end data pipelines using Python and SQL. • Migrate, optimize, and maintain workflow orchestration engines. • Build the "paved road" for data deployments using Terraform. • Collaborate with product developers for API and caching integration. • Participate in data platform's incident response rotation.


