Senior Analytics Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design and execute scalable analytical data models utilizing best practices in dimensional modeling.

• Construct and uphold fact tables, dimension tables, star schemas, and reporting datasets.

• Develop and oversee DBT transformations, models, and analytics workflows.

• Create scalable ELT pipelines utilizing Databricks, SQL, Python, and cloud-based technologies.

• Collaborate with stakeholders to convert business and reporting requirements into dependable data solutions.

• Ensure data quality, consistency, and governance across various analytics environments.

• Support modern analytics initiatives leveraging Microsoft Fabric, SQL endpoints, and related tools.

• Utilize Terraform or Infrastructure as Code tools for managing data platform resources.

• Contribute to initiatives involving AI-enabled analytics, integrations, and enhancements to the modern data platform.

• Provide light support for legacy Microsoft reporting environments, including SSRS, as required.

⛳️ Requirements

• Extensive hands-on experience with DBT and analytics engineering workflows.

• Profound expertise in dimensional data modeling, including facts, dimensions, star schema design, Kimball methodology, and analytical warehouse modeling.

• Practical experience with Databricks, SQL, Python, and PySpark.

• Advanced SQL capabilities for data transformation and analytics engineering.

• Experience with Terraform or Infrastructure as Code (IaC) tools.

• Familiarity with Microsoft Fabric, particularly SQL endpoints and analytics workloads.

• Experience in supporting AI-enabled analytics initiatives, copilots, agents, or modern AI integrations.

• Strong communication and stakeholder management abilities.

• Capability to work autonomously in a fast-paced remote environment.

• Proficient spoken English.

• Reliable home or office internet connectivity and consistent attendance in meetings and stand-ups.

• Must have full overlap with Mountain Time working hours.

• Minimum availability of 32 hours per week, with most weeks likely requiring closer to 40 hours.

• Hiring arrangement as an independent contractor.

• Nice-to-have: familiarity with Power BI or enterprise reporting environments.

• Nice-to-have: experience in modernizing legacy BI/data environments.

• Nice-to-have: familiarity with Azure Data Factory, Synapse, or related Microsoft cloud analytics services.

• Nice-to-have: experience with data quality frameworks, monitoring, or testing practices.

🏝️ Benefits

• 100% remote work.

• Full-time, long-term commitment.

• 32–40 hours per week.

• Flexible location within eligible LATAM countries.