Data Engineer

Title: Data Engineer
Location: LATAM Remote
Duration: Long Term Contract
Compensation: Competitive, based on experience
Work Requirements: Citizen of the country of employment or authorized to work in that country.

Data Engineer

Overview
We are seeking an experienced Data Engineer to join our Data Platforms team in an offshore/nearshore capacity. This role is hands-on and focused on designing, building, governing, and supporting reliable data pipelines, data models, and modern lakehouse solutions that enable enterprise reporting, analytics, and operational use cases. The Data Engineer will collaborate closely with U.S.-based product owners, architects, and analytics teams during overlapping business hours.

Key Responsibilities

• Design, develop, and maintain ETL / ELT data pipelines using Azure Data Factory (ADF), Databricks, or equivalent technologies.
• Design and support Databricks medallion architecture, including Bronze, Silver, and Gold data layers.
• Develop and optimize SQL-based transformations, data models, and Power BI semantic models within the Databricks ecosystem.
• Apply data governance, security, access controls, metadata, and data quality standards across Databricks environments.
• Support Databricks administration and day-to-day platform operations, including workspace, cluster, permissions, and related configuration activities.
• Ingest and transform data from ERP systems, operational databases, flat files, APIs, and other enterprise sources into modern cloud data platforms.
• Apply Master Data Management (MDM) concepts to support consistent, governed, and trusted enterprise data within Databricks.
• Support modernization of legacy ODS-style pipelines toward modern cloud data architectures and lakehouse patterns.
• Develop and maintain CI/CD pipelines and deployment processes using Azure DevOps (ADO), Git, and related DevOps practices.
• Integrate and support Azure services including ADF, Key Vault, Storage Accounts, Azure Functions, and Azure Runbooks.
• Work with APIs for data integration, automation, and application-to-platform connectivity.
• Support AI and agentic application development patterns that leverage enterprise data and modern cloud services.
• Ensure data quality, reliability, performance, monitoring, and proper error handling in production pipelines.
• Collaborate with U.S.-based stakeholders on requirements, technical design, troubleshooting, governance, and delivery.
• Provide operational support and troubleshooting for existing data pipelines and Databricks environments as needed.

Required Skills & Experience

• Strong SQL skills, including complex queries, transformations, optimization, and performance tuning.
• Hands-on experience with Azure Databricks and modern lakehouse/data engineering architectures.
• Experience with Databricks medallion architecture and Bronze, Silver, and Gold data layers.
• Knowledge of Master Data Management (MDM) concepts and their application within Databricks.
• Experience developing data models and Power BI semantic models within the Databricks ecosystem.
• Strong experience with Azure DevOps (ADO), Git, source control, and CI/CD processes.
• Data governance and Databricks administration experience, including security, permissions, access controls, and platform standards.
• Experience integrating data through APIs and Azure services such as ADF, Key Vault, Storage Accounts, Azure Functions, and Runbooks.
• Experience integrating on-premises and cloud data sources.
• Understanding of data warehousing concepts, dimensional modeling, and modern lakehouse architecture.
• Experience working in distributed / offshore delivery models.
• Comfortable working in Agile or Scrumban-style environments.
• AI and agentic application development experience is strongly preferred.

Nice to Have

• Experience with Spark or PySpark.
• Exposure to modern lakehouse platforms such as Databricks, Microsoft Fabric, or Snowflake.
• Experience supporting financial or operational reporting data.
• Experience building or supporting AI/agentic applications that integrate with enterprise data platforms.

Security & Data Handling Requirements

• No customer or company data may be stored on local machines.
• All development involving sensitive data must occur within customer-approved virtual machines or controlled environments.
• Adherence to enterprise data security, privacy, governance, and access standards is required.

Why Join INSPYR Global Solutions (IGS)
Become part of a diverse and multicultural workplace where you'll collaborate with talented professionals from around the world, build meaningful connections, and grow your career in a supportive environment. At IGS, we're committed to helping you succeed by offering:

• Flexible remote and hybrid work opportunities
• Continuous learning and professional development programs
• A culture that prioritizes employee wellbeing

 
INSPYR Global Solutions is the global delivery team for INSPYR Solutions, connecting top talent with opportunities across IT and professional services. Through collaboration, expertise, and innovation, we support global teams and help drive impactful solutions for our clients. Our focus is building a community of skilled, motivated, and reliable professionals who contribute to growth, performance, and long-term success. Learn more about us at .