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# Data Platform Engineer

- **Company:** Monaco Enterprises, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Data Analysis, Information Engineering, Data Infrastructure, Distributed Systems, Elasticsearch, PostgreSQL, Redis, Azure Machine Learning, Enterprise Software Applications, Snowflake, Apache Spark, Reliability of Systems, Backend, Event Driven Architecture, Apache Kafka, Data Management, Machine Learning Operations, Celery, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-platform-engineer-san-francisco-ca--05890a3b-fbd0-427a-819f-533f6ac734cc

## About the Role

Sales Pipeline, Customer Relationship Management (CRM), Artificial Intelligence (AI), Enterprise Applications, Distributed Computing, Data Analysis, Systems Reliability, Machine Tool, Production Systems, Leadership, * 5+ years building data platforms, ML infrastructure, or backend systems.

 * Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or Turbopuffer, Kafka, Spark, Databricks or Snowflake, etc.
 * Ability to lead major architecture decisions and execute on them fast, maintain and scale production systems through rapid workload growth.

## Description

Were looking for a Data Platform Engineer to help build Monacos data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. Youll work on the foundation that makes models, agents, and workflows actually useful in production.

This is a high-ownership role at the intersection of data engineering, distributed systems, and applied AI.

What Youll Do

 * Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.
 * Support ML workflows: training data, evaluation, embeddings, feature pipelines.
 * Solve distributed systems challenges around reliability, latency, consistency, and scale.
 * Improve observability, tooling, and developer experience for data, ML, and agent systems.