Key Facts

Remote From:

Colombia

Category: Data Engineer

Full time

Mid-level (2-5 years)

English

Hard Skills

Python (Programming Language) SQL (Programming Language) Apache Airflow JSON Integration Platforms

Other Skills

•
Communication

Roles & Responsibilities

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

Requirements:

Build Python/SQL pipelines to ingest invoices, orders, and catalogs
Act as a technical point of contact, translating complex data issues for customers
Build Workato recipes and connect customer ERPs via APIs/webhooks
Triage HubSpot support tickets, debug data discrepancies, and deploy production fixes

SuperStaff

About SuperStaff

SuperStaff is a comprehensive outsourcing solutions provider dedicated to delocalizing your workforce, reimagining your systems and model, and putting cost savings to work to grow your enterprise. Founded in 2009, we launched our suite of services with technical specialist offerings like programming, design, and information technology. We’ve since expanded to add customer-facing services like customer support, and more recently, recruitment support. Led by a team of experts in outsourcing, we understand both the day-to-day challenges of business and how to address them as part of the big picture to support growing companies. Because successful outsourcing is about more than just reducing your overhead. It’s about breaking free of boundaries and adding real value through exceptional people and service. WHAT MAKES US DIFFERENT SuperStaff was established specifically to service our parent company in 2009. We grew as an extension of a family owned business and now service an enterprise that is the largest of its kind in the private sector. The company itself dates back to the 1930’s, but our utilization of technology leads the industry and reflects our focus on innovation which is our staying power. Because of our humble roots, we can connect with smaller businesses that want to grow and dominate their industries, because your story is our story too.

Company type: SME

Founded: 2018

Company size: 201 - 500

Website LinkedIn See all jobs →

Job description

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

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:

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) 2
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.