Senior Data Engineer, Databricks

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🔥 2 minutes ago

🌐 Colombia, Costa Rica – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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GAP Careers

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

GAP Careers is the talent and careers arm of Growth Acceleration Partners, a consulting and technology services firm that designs, builds, and modernizes data-driven software solutions for U. S. -based clients with a strong emphasis on AI and machine learning. The site promotes remote-first software and data engineering roles across Latin America, highlights upskilling and AI certification for employees, and showcases projects in machine learning, large language models, data pipelines, and legacy application modernization.

📋 Description

• Design, build, and maintain scalable Databricks data pipelines for existing systems and new application integrations • Design and implement robust data models integrating Databricks with Azure SQL or Azure Cosmos DB • Orchestrate data pipelines and schedule workflows using Lakeflow Jobs • Enforce data quality, testing, and monitoring standards across data engineering processes • Manage deployment lifecycles using Databricks Asset Bundles and Git-based CI/CD workflows • Collaborate with frontend/backend application developers using React and C# .NET and with Product Owners • Operate within organizational security and governance models using Microsoft Entra ID and Unity Catalog • Take technical ownership of data modeling, pipeline orchestration, and secure, performant, governed data delivery • Integrate Databricks with modern application stacks and deliver large, defined projects

🎯 Requirements

• Bachelor’s Degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical field • 5+ years of professional experience in Data Engineering, specializing in modern cloud data architectures • Proven hands-on experience building and maintaining complex data pipelines on Databricks using PySpark and SQL • Deep expertise working with Delta Lake architectures and implementing governance via Unity Catalog • Demonstrated experience integrating Databricks workflows with Azure SQL or Azure Cosmos DB • Experience operating in Git-based CI/CD environments, specifically managing all work in GitHub where every pull request is linked to a GitHub Issue • Strong experience with Databricks, PySpark, advanced SQL, and Delta Lake • Experience with Unity Catalog (grants, lineage, access control) and Lakeflow Jobs • Experience with Azure SQL and Azure Cosmos DB • Experience with Databricks Asset Bundles and Git/GitHub workflows, including linking pull requests to Issues • Experience with data quality assurance, automated testing, and pipeline monitoring • Advanced English proficiency, written and verbal • Strong communication skills for working directly with business users and translating business needs into technical solutions • Ability to ramp up quickly on existing codebases and shared enterprise packages • Highly collaborative mindset, capable of integrating smoothly with established development teams and processes

🏖️ Benefits

• Investment in education • Onsite English classes • Training in the latest technologies, including AI, data analytics, and machine learning • Equal opportunity employer committed to diversity and inclusion

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