✨ What will you be doing?
As a Senior Data Engineer, you will play a key role in shaping the data infrastructure that powers Finalis' core services. You will design and implement well-architected, scalable, and secure data solutions to enable business insights, platform integrations, and product innovation.
We are looking for a self-starter who thrives in a solutions-driven, fast-paced environment and has a passion for solving complex data challenges that drive real impact.
💬 Who are we looking for
Design, build, and maintain scalable data pipelines and ETL processes that ensure high data quality and reliability.
Architect and optimize data warehouses and lakes to handle growing volumes of structured and unstructured data.
Collaborate with backend and full-stack engineers to ensure seamless integration with core systems and external platforms.
Develop data models to support Workflow Engine, Deal Matching, and other platform capabilities.
Optimize performance, security and maintain the different platforms for data persistence solutions like PostgreSQL and MongoDB.
Integrate and transform data between third-party sources (Salesforce, Hubspot, AWS, etc.) and Finalis' platform.
Design and expose well-structured APIs for real-time data querying and aggregation (GraphQL or REST).
Enable event-driven architectures.
Work cross-functionally with Engineering, Product, and Data teams to create business-critical solutions.
Support analytics and machine-learning use cases by providing clean, well-structured data pipelines.
8+ years of experience as a Data Engineer or in a similar backend/data-heavy role.
Proficiency in backend programming languages for data pipeline and ETL development.
Solid experience with PostgreSQL and MongoDB.
Experience designing and building APIs for data access, ideally with GraphQL and Nest.js.
Familiarity with cloud platforms (AWS preferred)
Strong experience integrating third-party tools (e.g., Salesforce, HubSpot, and AWS services) into existing data workflows.
Ability to manage and transform external data sources to align with Finalis’ core data models.
🌟 What do we offer?
100% Remote work (Work from wherever you want!)
Competitive USD salary
High-Speed Internet expenses allowance
Generous Paid time-off (Vacation Time!)
Additional 17 Flex Days (to use in national holidays or personal matters)
Professional Growth Benefits in our E-Learning Platform (Coursera) (take your skills to the next level!) 🚀
People Team Partner (to target your roadblocks and customize an action plan for your career path)
Buddy Program
Virtual After-Office Activities
Diverse Culture & Inclusive environment
