About AllShore Talent AllShore Talent is a leading remote staffing company, offering top-tier professionals working 100% remote to businesses worldwide. Specializing in IT and software development, design, administrative support, digital marketing, and more. AllShore connects organizations with skilled talent to meet diverse business needs.

About The Role Our client is expanding its modern data and analytics capabilities and is seeking a Senior Analytics Engineer with strong expertise in analytics engineering, dimensional data modeling, DBT, and cloud-based data platforms. This role is heavily focused on designing and building scalable analytical data models that support reporting, business intelligence, and modern analytics initiatives across internal departments. Candidates should have strong hands-on experience with dimensional modeling concepts such as facts, dimensions, star schemas, and Kimball methodology, along with practical experience using Databricks and cloud analytics tooling.

The idóneo candidate is a strong SQL and analytics engineering professional who can work independently, communicate effectively with stakeholders, and deliver production-ready data solutions in enterprise environments.

Key Responsibilities Analytics Engineering & Data Modeling (Primary Focus) Design and implement scalable analytical data models using dimensional modeling best practices

Build and maintain fact tables, dimension tables, star schemas, and reporting datasets

Develop and manage DBT transformations, models, and analytics workflows

Create scalable ELT pipelines using Databricks, SQL,



Python, and cloud-based technologies

Collaborate with stakeholders to translate business and reporting requirements into reliable data solutions

Ensure data quality, consistency, and governance across analytics environments

Support modern analytics initiatives using Microsoft Fabric, SQL endpoints, and related tooling

Use Terraform or Infrastructure as Code (IaC) tooling to manage data platform resources

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

Secondary Responsibilities

Provide light support for legacy Microsoft reporting environments (SSRS), on an as-needed basis only.

Required Qualifications (in Priority Order) Strong hands-on experience with DBT and analytics engineering workflows, including deep expertise in dimensional data modeling:

Facts and dimensions

Star schema design

Kimball methodology

Analytical warehouse modeling

Hands-on experience with Databricks, including SQL, Python, and PySpark; advanced SQL skills for data transformation and analytics engineering

Experience using Terraform or Infrastructure as Code (IaC) tooling

Experience with Microsoft Fabric,



especially SQL endpoints and analytics workloads

Experience supporting AI-enabled analytics initiatives, copilots, agents, or modern AI integrations — candidates who can help teams adopt AI tooling are a strong differentiator for this client

Strong communication and stakeholder-management skills

Ability to work independently in a fast-paced remote environment Nice-to-Have Skills Familiarity with Power BI or enterprise reporting environments

Experience modernizing legacy BI/data environments

Familiarity with Azure Data Factory, Synapse, or related Microsoft cloud analytics services

Experience with data quality frameworks, monitoring, or testing practices Who You Are You are an analytics-focused data professional with strong business and technical understanding

You excel at translating reporting and analytics requirements into scalable data models

You are comfortable working independently and collaborating across multiple teams

You bring strong ownership, communication, and problem-solving skills

You are confident explaining technical concepts to both technical and non-technical stakeholders Non-Technical Requirements (weighted Equally To Technical Skills) Strong spoken English

Reliable home/office connectivity and consistent meeting/standup attendance

Full Mountain Time working-hours overlap required Engagement Details Independent contractor role

Fully remote

32 - 40 hours per week Full-time, long-term commitment

Hourly rate: $23.75–$25 USD depending on experience

📌 Senior Analytics Engineer (100% Remote) (LATAM Only)
🏢 Allshore Talent
📍 Argentina