Senior Data Engineer (100% Remote) (LATAM Only)
About The Position
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.
Requirements
- Extensive hands-on experience with Databricks, including Spark, Delta Lake, and notebook-based development
- 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 Haves
- 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
Responsibilities
- Design, develop, and optimize scalable data pipelines using Databricks (highest priority)
- Build, automate, and maintain ETL/ELT workflows aligned with organizational standards
- Support 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
- 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
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
