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Data Engineer

SuperStaff Outsourcing🌍 Remote WorldwideEstimated: $80,000 - $120,000

✨ AI Insights & Summary

This Data Engineer role offers a unique opportunity to be at the intersection of data, AI, and customer success within the B2B sales intelligence space. You'll not only build critical data pipelines but also leverage AI coding assistants to enhance your workflow, directly impacting how wholesale distributors optimize their operations. If you're a data-savvy engineer passionate about building robust solutions and driving customer value, this hands-on role is an excellent fit.

About the Role

Join the Professional Services team as a Data Engineer, working directly on customer implementations for our B2B sales intelligence platform. Your primary goal will be to help wholesale distributors maximize the value derived from their data. This is a hands-on position requiring you to build data pipelines, configure customer instances, troubleshoot data issues, and collaborate closely 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: Utilize AI coding assistants (Copilot, Cursor) and LLMs to accelerate Python/SQL script generation, data mapping, and debugging.
  • Customer Communication & Projects: Serve as a technical point of contact, translating complex data issues into clear customer updates. Own project milestones from kickoff to Go Live.
  • Integration & Automation: Build Workato recipes and connect customer ERPs via APIs/webhooks for real-time data flow.
  • QA & Troubleshooting: Triage HubSpot support tickets, debug data discrepancies in large datasets, and deploy production fixes.
  • Documentation: Maintain customer data mappings and internal technical runbooks.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).
  • At least 3 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 skills with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications

  • Experience with workflow orchestration tools (e.g., Apache Airflow).
  • Familiarity with integration platforms (e.g., Workato, Zapier).
  • Exposure to CRM tools (e.g., HubSpot, Asana).
  • Knowledge of eCommerce or sales data models (e.g., products, orders, opportunities).

Technical Environment

  • Data & Analytics: Python, SQL, BigQuery, Looker
  • Pipeline & Orchestration: Airflow, GCP (Cloud Storage)
  • Automation & Integration: Workato, webhooks, APIs
  • Infrastructure: GCP, Kubernetes, GitHub Actions
  • Systems & Tools: HubSpot, Salesforce, SFTP/FTP, ERP systems
  • Project Management: Asana, GitHub

Benefits

  • Competitive Salary: COP $6,000,000.
  • Stability: Indefinite contract with all mandatory Colombian legal benefits.
  • Flexibility: 100% Work From Home (Remote only in Colombia).
  • Growth: Continuous training, development programs, and clear opportunities for professional advancement.
  • Culture: A collaborative, supportive, and diverse international team environment.

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Job Overview

Posted6/10/2026
CategoryData Engineering
SourceJobsCollider

FAQ

Is this position remote?

The Data Engineer role is a remote opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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