Data Platform Engineer

Were growing and looking to hire a Data Platform Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.As a Data Platform Engineer, Your Impact Will Be:Platform Modernization: Shape and develop the core technology of our Data Platform, moving from design to implementation to support AI research and business intelligence.Scalable Pipeline Engineering: Design and build complex, distributed data pipelines that ingest, manipulate, and move data from a wide variety of sources at massive scale.Software Excellence: Build and maintain high-performance microservices and APIs that interface with our data ecosystem, ensuring low-latency and high reliability.Cross-Functional Collaboration: Partner closely with Software Engineering, AI Research, and Product Management to transform abstract data needs into real-world customer value.Data Reliability: Implement best practices for data management, quality assurance, and security within our ecosystem.ML & AI Enablement: Integrate and manage robust data flows that directly power our ML and LLM pipelines in production environments.Requirements: 3 years as a Data or Software Engineer in cloud-native, high-scale environments Strong Proficiency in Python and Microservices architectureExpertise in Spark and distributed data processing at scale Deep Knowledge of AWS ecosystem (S3, Glue, RDS, EMR)Strong SQL skills and experience optimizing complex query executionsProven Experience with data modeling for high-scale, large volume data sets Experience with modern orchestration tools like Airflow Experience with Real-time streaming (Kafka, Kinesis, or Flink) Experience supporting ML/LLM pipelines and Vector Databases (Advantage)Experience with Databricks or SingleStore (Advantage)This position is open to all candidates.