Data engineer for wealth management

Nevis; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

25 days’ annual leave

Private medical insurance

Company equity

Job summary

Nevis — платформа ИИ для управления капиталом, которая автоматизирует задачи финансовых консультантов и объединяет источники данных в единый конвейер.

Ищем инженера данных: построить повторно используемый Python ingestion framework, обеспечить синхронизацию PostgreSQL и Snowflake, настроить продакшн, мониторинг и безопасность.

Опыт streaming/CDC, AWS и Airflow приветствуется; умение внедрять AI-инструменты для автоматизации процессов будет преимуществом.

Qualifications

• 4+ лет опыта data engineering и разработки Python/SQL пайплайнов для интеграций.
• Опыт потоковой передачи данных и CDC, включая изменения схем и откат.
• Опыт продакшена с PostgreSQL, Snowflake, облачными сервисами и Airflow.
• Умение разворачивать, мониторить и устранять сбои, работать с данными безопасно.

Responsibilities

• Построение повторно используемого Python ingestion framework и миграция с устаревших решений.
• Синхронизация PostgreSQL и Snowflake через надежные стримы и CDC пайплайн.
• Оптимизация процессов загрузки и качества данных, мониторинг в продакшене.
• Использование AI-инструментов в рабочих процессах для автоматизации задач.

Skills

Data engineering

Python

SQL

Streaming

CDC

Tools

PostgreSQL

Snowflake

AWS

Airflow

dbt

DuckDB

Terraform

Job description

Описание:

Nevis is building the world’s first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis.

Задачи:

Build a reusable Python ingestion framework that makes each new customer integration faster and replaces our legacy Java ETL. Keep PostgreSQL and Snowflake in sync through reliable real-time streaming and change data capture pipelines. Make onboarding smarter by using LLMs to map customer schemas and reduce manual integration work. Own your pipelines in production, from deployment and monitoring to data quality, recovery and secure handling of customer data.

Требования:

4+ years in data engineering, building Python and SQL pipelines for complex integrations: unfamiliar sources, inconsistent schemas and incomplete documentation. Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures. Production experience with PostgreSQL, Snowflake, cloud infrastructure (ideally AWS) and Airflow or similar tools. You own deployment, monitoring and troubleshooting. You use AI tools daily, with concrete examples of integrating them into your workflow to automate tasks and improve how you build

Будет плюсом:

• Experience with dbt and DuckDB
• Experience managing infrastructure with Terraform
• Familiarity with cross-warehouse data sharing or LLM-assisted data integration

Условия:

Work alongside a high-calibre founding team backed by some of the best investors in the world. A fast-paced, high-growth environment with the opportunity to shape how the business operates. Be part of a mission-driven company transforming the wealth management industry with huge potential for global impact.

• 25 days’ annual leave.
• Private medical insurance.
• Competitive salary and benefits package, including company equity.