This role is ideal for someone who enjoys working across high-volume telemetry sources, optimizing data workflows, and solving schema drift challenges in real-world distributed environments. You’ll be part of the Security Data Platform and ML Engineering team, helping to onboard and normalize security data that powers analytics, detection, and ML workflows across Adobe.
Develop a cutting-edge application for our customers. Design and implement scalable foundational services to support data pipeline processing, search functionality, user management, and other customer-facing features. Work on ML infrastructure and Generative AI applications to advance scientific use cases. Build and deliver high-quality products using Agile software development methodologies.
As a Senior Data Engineer, you will have a pivotal role in large projects, bringing your data architecture and engineering expertise to help Pennylane meet its high delivery standards. You will continue designing data platform, from data ingestion and validation to transport, storage, and exposure to consumers. You will collaborate with other data engineering teams, sharing technical knowledge and defining best practices.
Play a critical role in shaping our data strategy and developing data products that support our mission of expanding access to mental healthcare by leading the charge in using data to improve patient outcomes, streamline operational workflows, and support business growth.