Senior Analytics Engineer (100% Remote) (LATAM Only)
About The Position
AllShore Talent is seeking a Senior Analytics Engineer for a client expanding its modern data and analytics capabilities. The role focuses on designing and building scalable analytical data models that support reporting, business intelligence, and modern analytics initiatives across internal departments. The successful candidate will bring strong expertise in analytics engineering, dimensional data modeling, DBT, and cloud-based data platforms, including practical Databricks experience. The role involves building production-ready data solutions in an enterprise environment, translating business and reporting needs into reliable data models, and working independently while communicating effectively with stakeholders. The role is fully remote, limited to candidates in LATAM, and requires full overlap with Mountain Time working hours. It is an independent contractor engagement of 32–40 hours per week, intended as a full-time, long-term commitment.
Requirements
- Strong hands-on experience with DBT and analytics engineering workflows.
- Deep expertise in dimensional data modeling, including facts and dimensions, star schema design, Kimball methodology, and 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.
- Strong communication and stakeholder-management skills.
- Ability to work independently in a fast-paced remote environment.
- Strong spoken English.
- Reliable home or office connectivity and consistent meeting/standup attendance.
- Availability for full Mountain Time working-hours overlap.
Nice To Haves
- 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.
Responsibilities
- 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.
- Provide light, as-needed support for legacy Microsoft reporting environments (SSRS).
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
