Applied Forward Deployed Engineer

fde; Northern (KY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Monte Carlo, the data observability unicorn, is seeking a senior data integration engineer to join Applied FDE on the remote US team. The role emphasizes ownership of onboarding-to-adoption, building reliable connectors, and delivering impactful data integrations for customers.

You will work with Snowflake, Databricks, and Salesforce within Python/SQL/REST stacks while collaborating with Product to turn field learnings into product improvements.

Qualifications

• Proven experience building data integrations and connectors.
• Strong Python/SQL/REST proficiency.
• Experience with Snowflake, Databricks, Salesforce is a plus.

Responsibilities

• Own onboarding-to-adoption for customers.
• Prototype integrations and connectors for customer data stacks.
• Provide feedback to Product based on field learnings.

Skills

Python

SQL

REST

Data integration

Tools

Snowflake

Databricks

Salesforce

Job description

$120K–$150K data observability remote integrations unicorn

Remote (US) · Posted July 17, 2026

Why it's interesting

Monte Carlo built the data-observability category and is now pointing its FDE team at agent reliability — the pitch is that you own the account from close to fully-live. The $120K–$150K senior band is modest by frontier-lab standards, but this is a rare fully-remote FDE seat at an established unicorn where the work is real integration engineering (Snowflake, Databricks, Salesforce) rather than demo theater.

The role

Applied FDE at Monte Carlo, the data + agent observability platform. Own onboarding-to-adoption for customers, prototype integrations and connectors against customer data stacks (Snowflake, Databricks, Salesforce) in Python/SQL/REST, and feed field learnings back to Product. Remote US. $120K–$150K (senior band). Verified on Monte Carlo's Ashby board.