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Mid-level generalist backend role with broad stack, metro hiring, and in-demand skills increases competition.
Deep distributed Python, multi-tenant and PII/PHI specialization limits cross-industry transferability.
Explicit 4–8 years plus mandatory distributed-systems, AWS, and multi-tenant skills raise shortlisting strictness.
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Own and design an end-to-end 6-stage data processing pipeline handling ingestion through output with 100K+ document batches.
Develop and maintain core pipeline orchestration framework with async Python supporting parallel/sequential execution, retries, and dead-letter queues.
Implement multi-tenant data isolation, PII/PHI safety layers, immutable audit trails, and event-driven architecture for enterprise-scale, reliable platform services.
4-8 years total experience with at least 2 years building data-intensive pipelines.
Strong expertise in distributed Python systems using asyncio, aiohttp, Celery (not scripting).
Experience with message queues/streaming technologies such as Kafka, SQS, RabbitMQ, or Redis Streams.
Proficient in AWS services including Lambda, SQS/SNS, MSK, EKS, Step Functions, ECS, S3, DynamoDB, and production-level habits (testing, CI/CD, monitoring).
Experienced in designing and delivering high-volume, multi-tenant SaaS backend platforms with customer data isolation.
Skilled in event-driven architectures and asynchronous Python development for robust, scalable data processing pipelines.
Comfortable owning full pipeline lifecycle including data connectors, safety validations, compliance, and audit logging at enterprise scale.