Data Infrastructure Engineer ID35383

Join to apply for the Data Infrastructure Engineer ID35383 role at AgileEngine . Continue with Google 4 weeks ago Be among the first 25 applicants. Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17 industries. We excel in application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking to grow, make an impact, and work with caring people, we'd love to meet you! :) What You Will Do Architect, build, and maintain modern 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; Establish, communicate, and enforce data governance policies; Document and share best practices regarding schema management, data integrity, availability, and security; Protect sensitive data through secure permissioning, data masking, and tokenization; Identify and communicate data platform needs, including tooling and staffing; Collaborate with cross-functional teams to define requirements, plan projects, and execute; At least 4 hours 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 data pipeline and warehouse tools like Databricks, Spark, or AWS Glue; Proficiency with declarative data modeling and transformation tools like DBT; Experience with data orchestration platforms such as Airflow; Experience with infrastructure-as-code tools like Terraform; Upper-intermediate English level. Nice to Haves Familiarity with real-time data streaming (Kafka, Spark); Experience with cloud data lakes and secure data practices; Experience building automation pipelines with Python, Go, or TypeScript; Knowledge of container orchestration (Kubernetes); Experience managing external data vendors; Exposure to Web3 / Crypto data systems; Experience working cross-functionally with compliance, legal, and finance teams; Experience implementing data governance frameworks; Preference for simplicity, speed, and avoiding overengineering; Ability to work autonomously and drive projects end-to-end. Benefits Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: USD-based salary, education, fitness, and team activity budgets. Exciting projects: Modern solutions for Fortune 500 clients and top-tier brands. Flextime: Flexible schedule, remote work options. Your application process continues via email and registration on our Applicant Site. Incomplete registration will terminate your application. Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and Consulting Referrals increase your chances of interviewing at AgileEngine by 2x. J-18808-Ljbffr

Location: São Paulo, São Paulo, BR

Posted Date: 11/2/2025