Senior Data Engineer, Data & AI

November 9

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Gorilla Logic

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SaaS • Enterprise • Artificial Intelligence

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

501 - 1000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Design, build, and maintain scalable and resilient CI/CD pipelines for data applications • Implement and manage Snowflake dbt projects for data transformation • Develop and manage infrastructure as code (IaC) using Terraform • Automate deployment, monitoring, and management of Snowflake data warehouse environments • Collaborate with data engineers and data scientists to provide robust solutions • Implement monitoring, logging, and alerting systems for data pipelines • Develop and maintain robust automation scripts primarily using Python • Ensure security best practices across data infrastructure • Troubleshoot and resolve issues related to data infrastructure • Document system architectures and operational procedures • Stay current with emerging DevOps technologies and best practices • Optimize data pipelines for performance, scalability, and cost

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related technical field • 5+ years of hands-on experience in a DevOps, SRE, or infrastructure engineering role • 3+ years of experience specifically focused on automating and managing data infrastructure and pipelines • 1+ years of experience enabling AI features • Strong, demonstrable experience with Infrastructure as Code tools, particularly Terraform • Strong background in DevOps principles and practices • Highly experienced in automation, with proficiency in cloud technologies • Proven experience with dbt for data transformation in a production environment • Hands-on experience managing and optimizing Snowflake data warehouse environments • Demonstrable experience with data modeling techniques • Strong proficiency in Python for automation and related tasks • Solid understanding of CI/CD principles and tools • Experience with cloud platforms (GCP preferred, AWS, or Azure) and their data services • Strong SQL skills

🏖️ Benefits

• Health insurance • Paid time off • Professional development opportunities