Copy of Software Engineer II, Data Platform

4 hours ago

San Mateo, CA, USAMid Level

Base Salary

$150k - $225k/yr

Responsibilities

Develop, test, and deploy high-quality code across the data platform.
Collaborate with global teams across multiple time zones.
Support data cataloging, analytics, and ETL/ELT pipeline capabilities.
Identify performance bottlenecks and implement improvements with guidance from senior engineers.
Build and support services handling structured, semi-structured, and unstructured data including audio, video, text, and images.
Participate in production on-call rotations and troubleshoot critical issues.
Document the platform and maintain clarity for internal consumers.
Present work in team demos and represent engineering contributions in internal discussions.
Apply testing, monitoring, and deployment best practices to support platform reliability.
Ramp up on the technology stack, contribute to core platform features, participate in reviews, and own medium-scope features end-to-end within the first 90 days.

Bachelor's degree in Computer Science.
3+ years of direct experience developing scalable, distributed systems.
Proficiency in at least one of Scala, Java, or Python.
Experience building or maintaining cloud-based applications or services, with AWS preferred and GCP a plus.
Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and data ingestion.
Familiarity with distributed data processing frameworks such as Apache Spark or Apache Flink.
Understanding of CI/CD pipelines, monitoring, and observability best practices.
Comfort working in a globally distributed team and participating in production on-call rotations.
Nice-to-have experience with Databricks or similar unified data platforms, unstructured data formats, data cataloging, lineage and metadata tools, and platform-scale ETL, analytics, or data quality features.
Knowledge of GCP or multi-cloud environments and interest in scalability and reliability challenges.