Data Engineer: Real-Time Pipelines & AI-Driven Onboarding

Nevis; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Private medical insurance

Equity

25 days annual leave

Job summary

Nevis is building the world’s first AI wealth management platform. We’re seeking a data engineer to create a reusable Python ingestion framework and real-time data pipelines that connect PostgreSQL and Snowflake.

You’ll enable faster onboarding of new customer integrations and ensure reliable production-grade flows. Join a team that uses AI to automate data tasks and scale schema onboarding, with opportunities to shape data infrastructure in a fast-growing fintech environment.

Qualifications

• 4+ years in data engineering building Python and SQL pipelines for complex integrations.
• Hands-on experience with streaming and CDC, including schema changes, backfills and recovery after failures.
• Production experience with PostgreSQL and Snowflake, cloud infrastructure (ideally AWS) and Airflow or similar tools.
• You use AI tools daily, with concrete examples of integrating them into your workflow to automate tasks.

Responsibilities

• Build a reusable Python ingestion framework to accelerate new customer integrations.
• Maintain real-time PostgreSQL and Snowflake sync via streaming and CDC pipelines.
• Leverage LLMs to map customer schemas and reduce manual integration work.
• Own pipelines in production: deployment, monitoring, data quality, recovery and secure handling of data.

Skills

Python

SQL pipelines

Streaming/CDC

PostgreSQL

Snowflake

Airflow

Tools

AWS

Job description

Nevis is building the world’s first AI wealth management platform. We’re seeking a data engineer to create a reusable Python ingestion framework and real-time data pipelines that connect PostgreSQL and Snowflake.

You’ll enable faster onboarding of new customer integrations and ensure reliable production-grade flows. Join a team that uses AI to automate data tasks and scale schema onboarding, with opportunities to shape data infrastructure in a fast-growing fintech environment.