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.
Ideal 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.