remote
Junior Analytics Engineer - Lendable
Data Engineer
Entry‑level Analytics Engineer role focused on building data pipelines, transforming raw data, and creating dashboards using Python, SQL, dbt, Airflow, Snowflake, and Looker to support fintech product insights.
About the role
Key Responsibilities
- Design, develop, and maintain ETL pipelines using Python, SQL, and dbt to ingest and transform fintech data.
- Orchestrate workflow scheduling and monitoring with Airflow.
- Build and optimize data models in Snowflake for reliable analytics.
- Create self‑service dashboards and reports in Looker for product and finance teams.
- Collaborate with data scientists and engineers to ensure data quality and consistency.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
- Proficiency in Python and SQL for data manipulation.
- Hands‑on experience with dbt, Airflow, and cloud data warehouses (e.g., Snowflake).
- Familiarity with BI tools, preferably Looker.
- Strong analytical mindset, attention to detail, and ability to work in a fast‑paced fintech environment.
Skills
pythonsqldbtairflowsnowflakelooker