Senior Data Engineer
Role Overview
This senior-level role involves designing and optimizing enterprise data models and AWS-based data platforms for large-scale environments. The engineer will develop and maintain event-driven pipelines, collaborate on infrastructure, and support API data needs, impacting scalability and performance in a cloud-native architecture. It requires working in an enterprise setting with a focus on production-grade systems and modern data stacks.
Perks & Benefits
The job offers full remote work with flexibility for work-life balance, aligning with the ET time zone. Benefits include competitive compensation, career growth plans, international project exposure, and perks like an English program, fitness access, and team activities. The company is certified as a Great Place to Work, emphasizing a nurturing and collaborative environment.
Full Job Description
Join Our TeamOowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.About the Role:We are seeking a Senior Data Engineer with strong expertise in enterprise data modeling and AWS-based data platforms to support a mature and evolving data ecosystem. This role requires hands-on experience working with large-scale data environments, optimizing data models, and maintaining event-driven pipelines in a cloud-native architecture.You will work across data modeling, pipeline development, API data support, and infrastructure collaboration. This position is ideal for someone comfortable operating in enterprise environments, maintaining production-grade systems, and improving performance and scalability across a modern AWS data stack.This is a 6-month engagement with ET time zone alignment required.\nMust-Have:6+ years of experience in Data EngineeringStrong experience with Snowflake and Aurora PostgresAdvanced SQL and data modeling expertise (logical & physical design)Hands-on experience with AWS data services (Glue, Lambda, DMS, EventBridge)Strong Python experience for data pipelinesExperience supporting enterprise-scale data platformsExperience with CI/CD (GitHub Actions)Comfortable working in the ET time zoneNice to Have:Experience working with TerraformExposure to artifact management and infrastructure-as-code best practicesExperience in performance tuning at scaleExperience implementing automated data quality frameworksPrior experience in enterprise or large distributed systems\nBenefits & Perks:Home office;Competitive compensation based on experience;Career plans to allow for extensive growth in the company;International Projects;Oowlish English Program (Technical and Conversational);Oowlish Fitness with Total Pass;Games and Competitions;You can also apply here:Website: https://www.oowlish.com/work-with-us/LinkedIn: https://www.linkedin.com/company/oowlish/jobs/Instagram: https://www.instagram.com/oowlishtechnology/Please mention the word **RECTIFYING** and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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