Senior Analytics Engineer (100% Remote) (Latam Only), Ezeiza

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
As our client's organization continues to grow and expand our support for internal clients, we are seeking an experienced Senior Data Engineer with strong hands‐on expertise in modern data engineering tools and cloud‐based analytics platforms.
This role will work across two internal departments, with Databricks serving as the highest‐priority and most critical skillset for immediate consideration.
The ideal candidate is a proactive problem solver with deep technical experience, the ability to work autonomously, and a strong track record of building scalable data pipelines in enterprise environments.
Key Responsibilities
Facilities Department (Primary Scope)
Design, develop, and optimize scalable data pipelines using Databricks (highest priority)
Build, automate, and maintain ETL/ELT workflows aligned with organizational standards
Strong experience with DBT, data modeling, data quality, and pipeline orchestration within cloud environments
Collaborate with cross‐functional teams to deliver reliable, production‐ready data solutions
Leverage Microsoft Fabric for analytics, data integration, or reporting needs (medium priority)
Provide support for legacy systems when needed, including SQL Server, SSIS, SSRS, and SSAS
Family History Department (Secondary Scope)
Develop and maintain data integrations and pipelines involving Oracle database environments
Work with various Data Services to ensure accessibility, accuracy, and reliability of datasets
Partner with internal stakeholders to refine requirements and optimize data workflows
Required Qualifications
Extensive hands‐on experience with Databricks, including Spark, Delta Lake, and notebook‐based development.
Strong hands‐on experience with DBT and Analytics Data Modeling, including dimensional modeling concepts such as Facts, Dimensions, and Kimball methodology
Proficiency in Infrastructure as Code (IaC) using Terraform for provisioning and managing cloud infrastructure
Strong proficiency in Python, PySpark, SQL, and distributed data processing
Demonstrated experience with cloud data engineering in enterprise settings
Experience with Microsoft Fabric, Power BI, or Fabric‐aligned tooling
Working knowledge of legacy Microsoft data stack (SQL Server, SSIS, SSRS, SSAS)
Experience working with Oracle databases and associated data services
Ability to develop scalable, secure ETL/ELT pipelines using best practices
Strong documentation, communication, and stakeholder‐management skills
Nice‐to‐Have Skills
Experience migrating or modernizing legacy BI/data systems
Background in data quality frameworks, testing, or monitoring
Familiarity with Azure Data Factory, Synapse, or other Microsoft cloud analytics component
Who You Are
You are a senior‐level data engineer who excels in fast‐paced environments
You can work independently as a contractor without requiring heavy oversight
You are comfortable partnering with multiple stakeholder groups and adapting to shifting priorities
You bring a strong sense of ownership, accountability, and problem‐solving
Engagement Details
Independent contractor role
35 to 40 hours per week
Hourly rate: ***** USD to 25 USD, depending on experience
Fully remote position
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