DataEngineer-Python,SQL&Integrations

The **Data Engineer** will be part of the Professional Services team, You'll work directly on customer implementations for our B2B sales intelligence platform, helping wholesale distributors get the most out of their data. This is a hands-on role where you'll build data pipelines, configure customer instances, troubleshoot data issues, and collaborate with Customer Success Managers to deliver high-quality solutions. **Key Responsibilities:** * Data Ingestion & ETL: Build Python/SQL pipelines to ingest invoices, orders, and catalogs. * Perform historical backfills via SFTP/API and manage Airflow DAGs. * Instance Configuration: Set up custom fields, product filtering logic, and sales workflows. * Manage SSO and user provisioning for new rollouts. * AI-Augmented Engineering: Leverage AI coding assistants (Copilot, Cursor) and LLMs to accelerate Python/SQL script generation, data mapping, and debugging. * Build ETL pipelines and manage Airflow DAGs. * Customer Communication & Projects: Act as a technical point of contact. * Translate complex data issues into clear updates for customers. Own project milestones from kickoff to "Go Live." * Integration & Automation: Build Workato recipes and connect customer ERPs via APIs/webhooks to ensure real-time data flow. * QA & Troubleshooting: Triage HubSpot support tickets, debug data discrepancies in large data sets, and deploy production fixes. * Documentation: Maintain customer data mappings and internal technical runbooks. **Requirements** **The Essentials** * Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience) * At least 4 years of experience in data engineering, ETL, or related roles * Strong SQL skills for data analysis and validation * Proficiency in Python scripting for data processing * Familiarity with cloud platforms, preferably GCP (e.g., Cloud Storage, Cloud Functions) * Understanding of REST APIs, JSON/CSV data formats, and Git workflows * Strong communication s