Data Warehouse Engineer

• Help transition and stabilize the new data architecture
• This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse
• Active monitoring and alerting of the data and its sources

• 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.

• 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

• Relentlessly driven for improvement, actively seeking new knowledge, and always ready to embrace and conquer complex challenges.

• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.