Data Engineer II

- Develop services and APIs that expose curated datasets and features to downstream applications and ML/analytics scenarios; contribute to backend components, testing, and performance tuning. - Harden security and networking for data workloads (e.g., private endpoints, VNet/VPN integration, rolebased access, key management), partnering with security and networking teams. - Automate and productize: apply DevOps/DataOps (GitHub/Azure DevOps, CI/CD, IaC such as Bicep/Terraform) to deliver reliable releases, repeatable environments, and costefficient operations. - Collaborate & document: write design docs, review code, and work crossfunctionally with PMs, data scientists, and stakeholders. - Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering - OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering - OR equivalent experience. - 1+ year(s) experience with data governance, data compliance and/or data security. - 3-5+ years building and operating data platforms/services at scale (batch + streaming), including cost management and observability (e.g., Azure Monitor/Log Analytics/Azure Data Explorer). - Experience developing backend services/APIs (REST/gRPC), eventdriven patterns, and containerization (Docker/Kubernetes). - Hands on experience with lakehouse (e.g., Delta/Parquet) and warehouse paradigms; dimensional/semantic modeling; BI enablement (e.g., Power BI/Fabric DW). - IaC (Bicep/Terraform), pipeline orchestration (Fabric Data Factory/Synapse/ADF), testing frameworks (unit/integration/data quality).