Mid. level Data engineer

We are looking for a Mid-Level Data Engineer to join our team and work on the development of a large-scale project for a USA-based insurance platform that connects insurance companies, brokers, and users.

This platform processes large volumes of data to improve decision-making, optimize insurance workflows, and enhance the overall user experience.

It's a great opportunity to work on a complex, high-impact data ecosystem that powers real-time analytics and business intelligence across multiple systems.

YOU WILL:

• Design, build, and maintain efficient and scalable data processing pipelines.
• Work on data integration and transformation across multiple interconnected applications.
• Write clean, reliable code to automate and optimize data workflows.
• Design and optimize SQL queries, schemas, and data models.
• Collaborate with software engineers, analysts, and stakeholders to ensure data quality and accessibility.
• Participate in code reviews and help improve team processes and best practices.
  
  
  

What We Expect You Will Bring

• At least 1+ years of experience working with data (data pipelines, ETL, or similar projects).
• 2+ years of experience with SQL.
• 2+ years of experience with Python or Node.js.
• Experience with JavaScript/TypeScript is a plus.
• Understanding of how data is collected, cleaned, and transformed.
• Ability to work well in a team environment and communicate clearly.
• Fluent in English and Lithuanian.
  
  
  

What We Offer

• Transparency, respect, responsiveness, and result-driven culture in a global work environment.
• Mixed working style 2 days per week from the office and 3 days from home.
• Access to reference books, training courses, and international conferences to support your professional development.
• Office bonus and events: summer and winter parties, game nights, and more.
  
  
  

For this role, we offer a NETO (after taxes) salary range of 1600 - 2800 EUR/month. The final salary agreement is based on skills and experience.