Senior Engineer – Investment Technology

About the role

As a Senior Engineer in Investment Technology you will join the application team that builds and supports the Separately Managed Accounts (SMA) platform. You will focus on creating a reliable data foundation, designing pipelines, data models and internal tools that directly support portfolio management, trading and research workflows.

Key responsibilities

• Build and maintain data pipelines ingesting data from internal systems, market‑data vendors and operational databases into analytical and application‑facing stores.
• Design and manage PostgreSQL (and Snowflake where applicable) data models that enable front‑office workflows and quantitative research.
• Develop production‑grade Python and SQL code for ETL, validation, enrichment and data‑quality monitoring.
• Create lightweight internal applications and reporting interfaces, including browser‑based tools using JavaScript.
• Support research and analytics workflows involving large financial and time‑series datasets.
• Collaborate with quantitative developers and investment users to improve data usability, transparency and operational reliability.

Required profile

• 4+ years of experience in data engineering, analytics engineering or software engineering with a strong data focus.
• Strong Python programming skills.
• Experience with relational databases; PostgreSQL required, Snowflake a plus.
• Proven ability to design, operate and maintain production ETL pipelines and data models.
• Familiarity with dbt, AWS, Docker, Kubernetes (EKS) and Kafka.

Required skills

• Python
• PostgreSQL
• Snowflake
• SQL
• dbt
• AWS
• Docker
• Kubernetes
• Kafka
• JavaScript

What we offer

• Flexible paid time off
• Hybrid work schedule
• 401(k) matching 100% up to the first 6% plus discretionary contributions
• Health and wellbeing benefits
• Parental leave benefits
• Employee stock purchase plan