Join to apply for the Data Infrastructure Engineer ID35383 role at AgileEngine . AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :) 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; Collaborate with product, finance, legal, and compliance teams to build dashboards and reports supporting business operations, regulatory obligations, and customer needs; Establish, communicate, and enforce data governance policies; Document and share best practices regarding schema management, data integrity, availability, and security; Protect and limit access to sensitive data through secure permissioning, data masking, and tokenization; Identify and communicate data platform needs, including tooling and staffing; Work with cross-functional teams to define requirements, plan projects, and execute plans. Must Haves 5+ years of engineering and data analytics experience; Strong SQL and Python skills for complex data analysis; Hands-on experience building automation tooling and pipelines using Python, Go, or TypeScript; Experience with modern data pipeline and warehouse tools such as Databricks, Spark, or AWS Glue; Experience with infrastructure-as-code using Terraform; Proficiency with declarative data modeling and transformation tools like DBT; Familiarity with real-time data streaming (e.g., Kafka, Spark); Experience configuring and maintaining data orchestration platforms like Airflow; Background working with cloud-based data lakes and secure data practices; Ability to work autonomously and drive projects end-to-end; Upper-intermediate English level. Nice to Haves Familiarity with container orchestration (e.g., Kubernetes); Experience managing external data vendors; Exposure to Web3 / Crypto data systems; Experience 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. The Benefits of Joining Us Professional growth: Accelerate your career with mentorship, TechTalks, and personalized growth plans. Competitive compensation: We offer USD-based salaries and budgets for education, fitness, and team activities. Exciting projects: Work on modern solutions with Fortune 500 clients and top-tier brands. Flextime: Customize your schedule with options for remote work and in-office days. Your application doesn't end here! Check your email and complete your registration on our Applicant Site to proceed. Incomplete registration will result in termination of your process. #J-18808-Ljbffr