Senior Data Engineer

Role Overview

We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily.

What You Will Do

Design and implement Python Data Engineering solutions, design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses, and work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics.

Why It Might Be a Fit

You will have the opportunity to work with a people-first culture, grow, make an impact, and work with people who care.

Requirements

• Authorized to work for ANY employer in the US
• Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience
• 5+ years of experience with Python
• 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB
• 2+ years of experience with Big Data technologies (Spark, Snowflake)
• Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools
• Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures)
• Proven ability to work with 3rd party APIs for complex data ingestion tasks
• Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization
• Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams
• Upper-intermediate English level

Benefits

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets
• Exciting projects: Modern solutions with Fortune 500 and top product companies
• Flextime: Flexible schedule with remote and office options