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We are seeking a Senior Data Engineer with strong Databricks and backend integration experience to design, build, and operate secure, scalable data integrations between Databricks data pipelines and Software-as-a-Service (SaaS) application platforms. This role focuses on batch and streaming data flows, API-driven integrations, event-based triggers, and enterprise-grade data reliability.
Job Responsibility
Design and implement integrations between Databricks workflows and SaaS application backends
Enable batch and streaming data flows, event triggers, and API-based communication
Build backend services such as REST APIs, webhooks, and data interfaces
Implement data quality, validation, monitoring, and observability mechanisms
Design secure and auditable pipelines including authN, authZ, and RBAC
Troubleshoot pipeline failures, performance bottlenecks, and data inconsistencies
Collaborate with application, platform, and data engineering teams
Requirements
Strong experience with Databricks, Apache Spark, and data pipelines
Backend development experience (Python, Java, or Scala)
Experience integrating data platforms with SaaS application backends
Strong knowledge of REST APIs and event-driven architectures
Experience working with AWS or Azure cloud platforms
Understanding of enterprise security (authN, authZ, RBAC)
Experience with spec-driven development and coding agents
Nice to have
Event-driven systems using Kafka, SNS, SQS, or similar
Experience with streaming and real-time data processing
Exposure to data observability and monitoring tools