Data Engineer & Support Specialist – Azure Data Factory, SQL & Databricks

Location:
Remote – Latin America (LATAM) Employment Type: Part-Time / Freelance Contract Schedule: Monday to Friday | 20 hours/week
- see below for more information Compensation: USD – Hourly Rate Experience Level: Junior to Intermediate Language: Spanish Required

Working Hours
& Availability

Location:
Remote – LATAM Engagement: Part-Time / Freelance Contract Schedule: 4 hours daily, aligned with Chilean business hours. Candidates must be available to begin work at 6:00 AM Chile local time, supporting the Chile-based team. For Reference
- Until October 31, 2026: 6:00 AM Chile = 5:00 AM EDT
- Beginning November 1, 2026: 6:00 AM Chile = 4:00 AM EST Important: Candidates must be comfortable with this early-morning schedule and able to consistently support the required

working hours
. Position Overview We are seeking a Junior to Intermediate Data Engineer & Support Specialist for a remote, part-time contract supporting data operations within an enterprise mining environment in Chile. This hands-on role focuses on Azure Data Factory (ADF), Microsoft SQL Server, and Azure Databricks , including basic data pipeline monitoring, SQL queries, data availability verification, and technical troubleshooting. The ideal candidate is a practical, self-sufficient technical professional comfortable supporting existing data environments, investigating issues, and escalating more complex problems when necessary.

Key Responsibilities
- Monitor and troubleshoot Azure Data Factory (ADF) pipelines and data integration workflows.
- Write and execute basic SQL queries using Microsoft SQL Server to retrieve, validate, and investigate data.
- Perform basic support activities within Azure Databricks, including data availability checks.
- Access source systems through Remote Desktop (RDP) when required to verify data availability.
- Investigate data access, pipeline execution, and data processing issues.




- Identify and escalate technical problems requiring senior engineering expertise.
- Communicate findings, provide status updates, and document troubleshooting activities.
- Support knowledge transfer and a smooth transition of responsibilities to a Senior Data Engineer. Required Qualifications
- Fluent or professionally proficient in Spanish – Mandatory.
- Hands-on experience with Azure Data Factory (ADF), including pipeline monitoring and basic troubleshooting.
- Working knowledge of Microsoft SQL Server and SQL queries, including basic data retrieval and validation.
- Basic experience with Azure Databricks and familiarity with data processing environments.
- Comfortable using Remote Desktop (RDP) to access and investigate source systems.
- Ability to independently perform routine data support and troubleshooting activities.
- Strong communication, documentation, and problem-solving skills.
- Must reside in Latin America (LATAM).
- Must be available Monday to Friday, 6:00 AM – 10:00 AM Eastern Time. Preferred Qualifications
- Experience supporting Azure cloud-based data platforms.
- Familiarity with ETL/ELT processes, data integration, and data validation.
- Previous experience providing remote data engineering or production support.
- Exposure to mining, industrial, or enterprise data environments. Contract Details
- Remote: LATAM-based candidates only.
- Engagement: Part-time freelance contract.
- Hours: 4 hours per day / 20 hours per week.
- Payment: USD hourly rate.
- Duration: Interim assignment, with responsibilities transitioning to a Senior Data Engineer once system access is established. Idóneo Candidate Profile A Junior to Intermediate Data Engineer, Data Support Analyst, or ETL Support Specialist with practical exposure to Azure Data Factory, SQL Server, and Databricks. This position emphasizes hands-on technical support, data availability, pipeline monitoring, and basic troubleshooting rather than advanced data architecture or complex engineering development. ,

📌 Data Engineer (Chile)
🏢 Myticas Consulting
📍 Chile