Monaco
Data Platform Engineer
San Francisco · Senior
Sponsorship not specifiedDetected 162 days ago
Distributed SystemsPostgreSQLRedisElasticsearchSnowflakeDatabricksPlatform EngineeringTemporalKafkaMachine LearningSparkData EngineeringCRMPipeline Management
About the role
- We launched publicly in Feb 2026 and are 50 people and growing.
- We have strong early product-market fit, creating millions in ARR in only a few months post-launch.
- We've raised $85M through our Series B from legendary investors including Founders Fund, Benchmark, and Human Capital.
Responsibilities
- Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.
- Support ML workflows: training data, evaluation, embeddings, feature pipelines.
- 5+ years building data platforms, ML infrastructure, or backend systems.
- Ability to lead major architecture decisions and execute on them fast, maintain and scale production systems through rapid workload growth.
Requirements
- Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or Turbopuffer, Kafka, Spark, Databricks or Snowflake, etc.
Skills
- Our founders are industry veterans who previously led companies like Brex, Apollo, and Clari.
Company info
- What we're looking for:
This listing is sourced directly from Monaco's careers page and normalized into a canonical job model.