Data Infrastructure Engineer ID35383

Join to apply for the Data Infrastructure Engineer ID35383 role at AgileEngine 4 weeks ago Be among the first 25 applicants Join to apply for the Data Infrastructure Engineer ID35383 role at AgileEngine Get AI-powered advice on this job and more exclusive features. AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17 industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) WHAT YOU WILL DO - Architect, build, and maintain modern and robust real-time and batch data analytics pipelines; - Develop and maintain declarative data models and transformations; - Implement data ingestion integrations for streaming and traditional sources such as Postgres, Kafka, and DynamoDB; - Deploy and configure BI tooling for data analysis; - Work closely with product, finance, legal, and compliance teams to build dashboards and reports to support business operations, regulatory obligations, and customer needs; - Establish, communicate, and enforce data governance policies; - Document and share best practices with regards to schema management, data integrity, availability, and security; - Protect and limit access to sensitive data by implementing a secure permissioning model and establishing data masking and tokenization processes; - Identify and communicate data platform needs, including additional tooling and staffing; - Work with cross-functional teams to define requirements, plan projects, and execute on the plan; - At least 4 hrs overlap with EST is required. MUST HAVES - 5 years of engineering and data analytics experience; - Strong SQL and Python skills for complex data analysis ; - Experience with modern data pipeline and warehouse tools using Databricks, Spark or AWS Glue ; - Proficiency with declarative data modeling and transformation tools using DBT ; - Experience configuring and maintaining data orchestration platforms with Airflow ; - Experience with infrastructure-as-code tools (e.g., Terraform ); - Upper-intermediate English level. NICE TO HAVES - Familiarity with real-time data streaming (e.g., Kafka, Spark); - Background working with cloud-based data lakes and secure data practices; - Hands-on experience building automation tooling and pipelines using Python, Go, or TypeScript; - Familiarity with container orchestration (e.g., Kubernetes); - Prior experience managing external data vendors; - Exposure to Web3 / Crypto data systems; - Background working cross-functionally with compliance, legal, and finance teams; - Experience driving company-wide data governance or permissioning frameworks; - Strong bias for simplicity, speed, and avoiding overengineering; - Ability to work autonomously and drive projects end-to-end. THE BENEFITS OF JOINING US - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at AgileEngine by 2x Embedded Linux Field Engineer for Devices/IoT System Software Engineer - Ubuntu Networking Linux Cryptography and Security Engineer System Software Engineer - GCC/LLVM compiler, tooling, and ecosystem Golang System Software Engineer - Containers / Virtualisation Software Engineer (Python/Linux/Packaging) Software Architect - Containers / Virtualisation Software Engineer - packaging - optimize Ubuntu Server for public clouds Senior Site Reliability / Gitops Engineer System Software Engineer - Rust compiler, tooling, and ecosystem Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - packaging - optimize Ubuntu Server for public clouds Software Engineer - packaging - optimize Ubuntu Server for public clouds Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics We’re unlocking community knowledge in a new way. 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Location: Rio de Janeiro, Rio de Janeiro, BR

Posted Date: 7/3/2025