Remote Data Engineer - Integrations & Pipelines

Stello; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Professional development

Job summary

Stello is seeking a Data Engineer on Integrations to connect our AI agents with client systems. You will build pipelines and connectors to CRMs, ERPs, help desks, and data warehouses, ensuring data is reliable, current, and safe to use.

You’ll work with client teams to map messy data into clean models, design real-time or scheduled syncs, and recover gracefully from failures. You’ll also write tests and monitor integrations, and explain technical tradeoffs to clients.

Qualifications

• 3+ years building production data pipelines or integrations.
• Strong SQL and Python or TypeScript.
• Experience with third-party APIs, webhooks, OAuth, and rate limits.
• You design for failure: retries, idempotency, and backfills.
• You use coding agents every day, and you review their output carefully.
• You can learn an unfamiliar business and turn its requirements into working software.
• You are comfortable with clients, and you explain technical decisions clearly.

Responsibilities

• Work with client IT and operations teams to understand their systems, data, and access rules.
• Build and maintain connectors to CRMs, ERPs, help desks, and data warehouses.
• Design pipelines that sync on a schedule or in real time, and recover cleanly from failures.
• Map messy client data into clean models that agents and reports can use.
• Write agent results back into client systems without duplicates or data loss.
• Build tests and monitoring, so a broken sync is found before the client finds it.
• Explain technical options and tradeoffs directly to the client.

Skills

SQL

Python

TypeScript

API integrations

Data pipelines

Client communication

Job description

Stello is seeking a Data Engineer on Integrations to connect our AI agents with client systems. You will build pipelines and connectors to CRMs, ERPs, help desks, and data warehouses, ensuring data is reliable, current, and safe to use.

You’ll work with client teams to map messy data into clean models, design real-time or scheduled syncs, and recover gracefully from failures. You’ll also write tests and monitor integrations, and explain technical tradeoffs to clients.