Title: Senior Integration & ETL Engineer (SaaS APIs, Python, Data Pipelines)

Location: Remote | Full-Time

Industry: AI-Driven Business Intelligence | SaaS | Data Analytics

Please Note:

This role is for a hands-on, full-time Senior Integration & ETL Engineer who thrives in fast-paced, early-stage environments. The right candidate will own the end-to-end pipeline for building and maintaining direct integrations with third-party SaaS tools, ensuring we extract the right KPIs at the right time for downstream analysis by our AI.

This is not a “Zapier experience” type of role. We’re looking for someone who has built production-grade data connectors from scratch, navigated authentication protocols (OAuth2, API keys, etc.), worked fluently with third-party APIs, and understands what it takes to deliver clean, structured data into modern data platforms. You will lead integration development, mentor junior engineers, and ensure our data extraction layer is fast, reliable, and continuously scaling.

About SQOR.ai

SQOR.ai is the only plug-and-play AI platform that autonomously transforms SaaS data into real-time actionable intelligence. Designed for business leaders, investors, and consultants, SQOR.ai makes AI-driven decision intelligence effortless, with no data teams, no infrastructure, and no manual analytics.

With over 500+ KPIs users can monitor and 60+ AI agents, SQOR.ai delivers causal insights, predictions, and real-time monitoring across sales, marketing, finance, customer success, operations, and product development.

Our mission is to democratize access to decision intelligence, empowering all businesses to compete on a level playing field by unlocking insights without complexity, cost, or barriers.

Watch our product video here: https://youtu.be/Aff-rX9W_TE?si=mLz5ozE1erf9NP_b

Role Overview

As the Senior Integration & ETL Engineer, you will be responsible for designing, building, and maintaining data pipelines that connect directly with third-party SaaS tools. Your work will be foundational to SQOR’s platform, extracting the right data, on time, every time. You’ll build connectors that feed into our AI engine, support scheduling and monitoring of extraction jobs, and ensure our team can scale integrations quickly and reliably.

You will work alongside our CTO, Chief AI Officer, and engineers to ensure high-speed data flow, maximum uptime, and clean, trustworthy KPI extraction. You’ll also help mentor junior developers and build an internal playbook for integration best practices.

Compensation

The role offers approximately 1 to 2 percent equity, based on your experience, involvement and contribution. This position represents a commitment to grow alongside our team of 18 A players all here for equity as well. As we gain traction and raise capital, salaries will become available. We have a pipeline of over $25 million that we are working to close and expect salaries to begin in early Q4 as revenue and funding scale.

Key Responsibilities

• Build and maintain high-performance integrations with third-party SaaS APIs (Salesforce, HubSpot, NetSuite, SAP, Zendesk, etc.)

• Read and interpret API documentation to design and implement scalable, reliable data connectors in Python

• Implement and manage a range of authentication flows (OAuth2, API keys, service accounts)

• Extract specific KPIs and key operational data across sales, finance, marketing, and product domains

• Own and optimize ETL pipelines for reliability, scalability, and performance

• Schedule and monitor extraction jobs using orchestration tools like Airflow, Prefect, or equivalent

• Ensure all integrations pipe data cleanly into BigQuery, MongoDB, and our vector or embedding systems

• Maintain observability, logging, and monitoring across all data operations

• Mentor and manage a small team of integration engineers to ensure quality and speed

• Collaborate with the AI and product teams to ensure that critical data is available for analysis and reporting

Required Skills & Experience

• 5 plus years of senior-level experience building production-grade integrations with third-party SaaS APIs

• Strong Python engineering skills in ETL and data pipeline environments

• Deep hands-on experience with at least 10 plus APIs across key enterprise SaaS platforms

• Solid understanding of auth schemes including OAuth2, token refresh, and API key management

• Strong working knowledge of MongoDB and BigQuery

• Familiarity with data lakes and modern data warehousing strategies

• Experience building test-driven connectors and writing unit and integration tests

• Comfortable with ETL schedulers and job orchestration tools

• High confidence working in GCP or similar cloud environments

• Strong debugging and diagnostic skills around API reliability and data consistency

Preferred Qualifications

• Experience with Linux systems.

• Experience in using shell commands and vim or emacs editors.

• Experience with BigQuery, Snowflake, and Databricks in live production environments

• Familiarity with Node.js, Typescript, or frontend tech like React.js is a plus

• Experience with queueing systems

• Understanding of KPI frameworks and SaaS domain data structures

• Prior experience contributing to agentic AI platforms or business intelligence systems

Why Join Us

• Play a critical role building the integrations that power a category-defining AI platform

• Work on fast-moving, high-impact systems used by investors, consultants, and company leaders

• Build a modern integration pipeline the right way from the ground up

• Join a small, elite, mission-driven team working to democratize intelligence at scale

• Competitive equity and growth opportunity as we scale our traction and revenue