Senior Data Engineer

Role Overview

We are seeking a high-performing Senior Data Engineer to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role is for candidates who want real engineering responsibility, not shadow work. You will design and implement production-grade data pipelines, work with cloud-native tooling, and partner with senior engineers and data scientists on systems that matter.

What You Will Do

Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment, develop robust, fault-tolerant ETL/ELT applications, work with different stakeholders and teams to assist with data related technical solutions, and more.

Why It Might Be a Fit

Essential traits include a Bachelor’s or master’s degree in computer science, engineering, or a related field, 5+ years of proven experience in data engineering, experience writing ETL/ELT jobs, experience with Azure and Databricks Platform, and more.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related field
• 5+ years of proven experience in data engineering
• Experience writing ETL/ELT jobs
• Experience with Azure and Databricks Platform
• Experience with Python, SQL, and REST APIs
• Excellent communication and the ability to reason about trade-offs
• Ability to work with an international team
• Cloud architecture principles: compute, storage, networks, security, cost
• Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
• Knowledge of CI/CD, Git, or infrastructure-as-code concepts
• Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment
• Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau)
• Strong problem-solving and analytical skills
• Strategic thinker and strong execution orientation
• Ability to work in cross-functional teams
• Attention to detail and data quality

Benefits

• Healthcare Coverage: Comprehensive medical, dental, and vision plans
• Time Off and Leave Policies: Generous paid time off (PTO), paid company holidays, generous parental and family leave
• Protective Insurances: Life insurance, short- and long-term disability coverage, and accident protection
• Compensation and Rewards: Competitive salary structures, performance-based incentives, and merit-based compensation reviews
• Retirement Plans: 401(k) plans with company matching