DATA INFRASTRUCTURE ENGINEER ID35383

80.000.000 - 120.000.000


4 days ago Be among the first 25 applicants 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.
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