Title: Senior Integration & ETL Engineer (SaaS & EDW 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, debugging, and maintaining direct integrations with third-party SaaS APIs and enterprise data warehouse (EDW) APIs, ensuring we extract the right KPIs at the right time for downstream analysis by our AI.

This is not a Power BI, Tableau, or flat-file ETL role. We are looking for someone who has built production-grade data connectors from scratch, navigated complex authentication protocols (OAuth2, API keys, service accounts), troubleshoots API failures and schema changes, and understands what it takes to reliably extract data from API-driven systems into modern analytics platforms.

You will lead integration development, own reliability and observability, mentor junior engineers, and ensure our data ingestion layer is fast, resilient, and easily extensible.

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: https://youtu.be/Aff-rX9W_TE?si=mLz5ozE1erf9NP_b

Role Overview

As the Senior Integration & ETL Engineer, you will be responsible for designing, building, debugging, and maintaining data pipelines that connect directly to SaaS and EDW APIs (e.g., Salesforce, HubSpot, NetSuite, Snowflake, BigQuery). Your work will be foundational to SQOR’s platform, ensuring high-speed, accurate data ingestion across dozens of third-party tools. You’ll build new connectors, monitor and update existing integrations as APIs evolve, support scheduling and orchestration, and work closely with AI, product, and engineering to ensure that the most critical operational and financial KPIs are always flowing correctly.

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 SaaS and EDW API integrations (Salesforce, HubSpot, NetSuite, SAP, Zendesk, Snowflake, BigQuery, etc.)

• Read and interpret complex API documentation to design and implement robust, scalable Python-based connectors

• Implement and manage multiple authentication flows (OAuth2, API keys, service accounts, token refresh logic)

• Debug, update, and optimize existing integrations to maintain reliability as third-party APIs evolve

• Extract key KPIs across domains (sales, finance, marketing, product, support)

• Build and scale ETL pipelines with orchestration (Airflow, Prefect, Dagster, etc.)

• Ensure clean data ingestion into BigQuery, MongoDB, and vector stores for AI processing

• Maintain observability, alerting, and logs across all API-based data flows

• Mentor and guide junior integration engineers; build internal documentation and best practices

• Collaborate with AI and product teams to ensure availability and integrity of data inputs

Required Skills & Experience

• 5 plus years of experience building and maintaining production-grade API integrations (SaaS and EDW APIs)

• Proven ability to write and maintain Python-based connectors from scratch

• Experience with 10 plus SaaS APIs (REST, GraphQL, rate-limiting, pagination, schema changes)

• Deep knowledge of auth schemes (OAuth2 flows, refresh tokens, HMAC, etc.)

• Expertise in troubleshooting failed jobs, malformed responses, and integration errors

• Strong working knowledge of BigQuery, MongoDB, and GCP or similar cloud environments

• Experience designing resilient pipelines for scale and reliability

• Familiarity with data orchestration platforms like Airflow, Prefect, or Dagster

• Strong unit and integration testing practices around API-driven ETL

• Ability to write clean, production-grade Python code with high uptime and fault tolerance

• Linux/Unix scripting proficiency (Bash; grep/sed/awk; cron; curl/jq) for automation, observability, and operational tooling.

Preferred Qualifications

• Experience with Linux systems and command-line tools

• Familiarity with GCP-native data services, Snowflake, and Databricks

• Knowledge of message queues and API throttling patterns

• Exposure to Node.js, TypeScript, or frontend frameworks (not required)

• Experience building data ingestion into agentic AI or BI platforms

• Deep understanding of SaaS KPIs and common data models (sales funnels, LTV, churn, etc.)Why

Join Us

• Own and build the backbone of a next-gen decision intelligence platform

• Solve meaningful technical challenges at scale

• Work closely with world-class AI, engineering, and product leaders

• Help shape a product used by investors, consultants, and operators across industries

• Equity-based early-stage opportunity with high-growth trajectory