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Job description

This is a remote position.

Our client Causal is looking for an engineer to build out their data infrastructure. Robust data infrastructure is crucial for our product — working with live data is one of the biggest pain points of spreadsheets, and one of the biggest value propositions of Causal.

Causal need to be able to connect to any customer data, wherever it lives — accounting software (e.g. QuickBooks, NetSuite), CRM (e.g. Salesforce, Hubspot), payments provider (e.g. Stripe), and custom databases/data warehouses.

Responsibilities

• Build a unified system to manage all data pipelines (including health checks and alerting)

• Work with clients and our customer success team to gather requirements and implement pipelines to pull data from various data sources

Requirements

• Have 6+ years software engineering experience

• Have some experience with our backend stack (Node/Typescript/Go/Python) and ideally also have experience with the modern data stack (dbt, Fivtetran, ...)

• Be able to write clean + maintainable code with attention to performance and security, but also be able to ship quickly + scrappily when the occasion calls for it

• Be comfortable shipping features end-to-end, from defining the product spec to deploying to production

Required profile