Sorbet is a first-of-its-kind fintech solution using technology to reimagine Paid Time Off. We’re creating a future where employees are empowered to choose how to spend their time to improve their financial health and well being, while helping employers reduce the $272 Billion in balance sheet liabilities due to unused vacation days (Paid Time Off).

Founded by a seasoned team of Finance and Tech professionals and backed by top tier investors including Viola Ventures, Global Founders Capital and Meron Capital, Sorbet has offices in Tel Aviv, New York City, and Kiev.

We welcome people from all backgrounds. If you’re curious, passionate, collaborative, and want to create real impact in people's lives, come work with us!

We’re looking for an experienced, talented Senior Data Engineer to join our fast-growing team. We are a data-driven organization, starting to ingest data at high rates, with demands increasing each day.

As our in-house Data & BI Engineer, you will be responsible for a large scale production platform that serves as the core infrastructure of our products. You'll develop self-service tools that support the accessibility of our platform for the use of other dev and analytics departments. We will look to you to be a center of knowledge, consult, and share your expertise with others.

• Create, maintain and own the core company data pipeline,
• responsible for scaling up data processing flow to meet the rapid data growth
• Consistently evolve data model & data schema
• based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• Work with stakeholders and analysts on data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

• At least 3 years of experience managing ETL & BI processes and production analytics datastore
• Experience with building big data and ETL tools and data lakes 
• Experience in transferring 3rd party data to the internal company data lake\warehouse (e.g. google analytics, tags manager, mixpanel, salesforce, zendesk etc.)
• Experienced with relational SQL and NoSQL databases
• Understanding of Airflow/GHA & CI/CD concepts in production environment
• High level English proficiency, both written and verbal - A must!
• Ability to work in an agile, dynamic, rapid environment with constant changing priorities
• Excellent interpersonal and communication skills (in English at a high level).
• Ability to work independently. A self starter with constant hunger to improve, research, and learn
• Team player with true passion, creativity and motivation for backend and complex processes
• B.Sc. in Computer Science/Mathematics or a related degree (optional). 
• Experience with AirFlow - a plus
• Experience with DBT - a plus
• Experience working with analysts and data scientists
• Experience working with financial systems - an advantage
• Knowledge in cloud environments (AWS - an advantage)