Senior Software Engineer, Data Backend

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment. You will work on high-throughput APIs/services, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

Responsibilities

Design, build, and maintain backend services and data platform components; Develop and optimize streaming and batch data workflows, orchestrated with Airflow and Lakeflow; Model and maintain Lakehouse data layers (bronze/silver/gold) to ensure data quality and consistency; Improve data quality and consistency through schema/contracts and validation mechanisms; Diagnose and resolve production issues across service and data layers; Drive performance and cost optimization initiatives for large-scale workloads; Collaborate across teams to deliver roadmap milestones; Mentor engineers and contribute to engineering standards and review culture

Requirements

4+ years of software engineering experience in backend/data-intensive systems; Strong proficiency in Python (required); Strong proficiency in Spark/SQL (required); Hands-on experience with distributed data systems (e.g., Spark/Databricks, Kafka); Experience operating services/pipelines in cloud production environments (GCP preferred); Solid understanding of reliability practices: observability, on-call, incident response; Strong communication and ownership; able to drive ambiguous projects to completion; Fluent in English

Nice to have

Experience with Databricks/Delta Lake/Lakehouse architectures; Experience with Kubernetes/GKE and Terraform/IaC; Experience with data governance (lineage, access control, PII handling); Experience with identity/profile systems (entity resolution, merge logic); Experience with FinOps/cost optimization for platform workloads; Scala/Java experience for Spark ecosystem optimization is a plus

Benefits

Work on high-impact, business-critical data backend systems; Own real production outcomes across scale, quality, and cost; Collaborate with strong cross-functional teams in AI + data; Grow technical leadership while staying hands-on; Work with a modern data stack; Open to overseas candidates/Visa Support