Data Engineer

Remote, USA
Posted Jun 13, 2026
Full-time

We’re looking for an experienced Data Engineer to join our DataWarehouse team in TLV.

In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, you’ll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.

This is an excellent opportunity to be part of establishing Lemonade’s state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.

In this role you’ll

  • Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements

    Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs

    Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer

    Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness

    Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency

    Implement best practices for data warehouse and database performance tuning

    Conduct thorough testing of data applications and implement robust validation processes

    Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers

 What you’ll need
  • 3+ years of experience as a BI Engineer or Data Engineer

    Proficiency in data modeling, ELT development, and DWH methodologies

    SQL expertise and experience working with Snowflake or similar technologies

    Prior experience working with DBT

    Experience with Python and software development, an advantage

    Excellent communication and collaboration skills

    Ability to work in an office environment a minimum of 3 days a week

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