Early Engineer, Data Infrastructure at Sift

Compensation

$200,000 – $250,000/yr

Setup: Hybrid
Location: Marina del Rey, California
Type: Full-time
Posted: Oct 27, 2025

Description

SIFT is seeking an experienced Early Engineer to define and build core architecture for a real-time telemetry platform, focusing on scalable data ingestion, efficient database solutions, and innovative data architecture integration. The role involves working with complex backend systems, collaborating on engineering culture and standards, and contributing to scalable systems for advanced engineering teams. This position is ideal for someone passionate about defining foundational systems for next-generation machines.

Required Skills

Apache Flink
Kafka Streams
Beam
PostgreSQL
Druid
Pinot
TimescaleDB
Go
Rust
Python
Kubernetes
Prometheus
ArgoCD
Terraform
gRPC
Protobuf
React
TypeScript
Apache Arrow
DataFusion
Kafka
Parquet
AWS
Docker
GitHub Actions
Grafana
Linux

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline
Preferred Qualifications: Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet
Experience building resilient, performant systems that scale to billions of records
Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques

About Sift

Sift

Fraud preventionSan Francisco, CA, US201-500

Sift is a fraud prevention platform that uses machine learning to tell legitimate customers from fraudsters in real time. Its platform helps businesses manage payment fraud, account takeover, and account abuse so they can approve more customers and grow securely. Online businesses use Sift to protect customers and prevent fraud losses; the company says it helps more than 34,000 sites and apps. Its global data network processes more than 1 trillion events annually across 700+ brands.