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; 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. 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 using Databricks, Spark or AWS Glue ; Experience with infrastructure-as-code using Terraform ; Proficiency with declarative data modeling and transformation tools using DBT ; Familiarity with real-time data streaming ( e.g., Kafka, Spark ); Experience configuring and maintaining data orchestration platforms with 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); 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. 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. #J-18808-Ljbffr