Staff Data Products Engineer – Secure & Scalable Pipelines

Simile; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Simile is building an AI-driven simulation platform and seeks a Data Products - Member of Technical Staff to bring real human signal into its systems. You will own end-to-end data products, design scalable pipelines, and ensure secure handling of sensitive data across multi-tenant environments.

Collaboration with researchers and enterprise customers is central to shaping durable data capabilities. You will bridge cutting-edge AI with production-grade data systems, balancing architectural rigor

Qualifications

• 5+ years engineering experience at tech/product companies.
• Strong Python/TypeScript, SQL, and data modeling fundamentals.
• Hands-on experience building data pipelines, including batch/streaming processing.
• Experience with relational databases (Postgres) and cloud infrastructure (AWS, GCP, or Azure).
• Security mindset: authentication/authorization, encryption, multi-tenancy, and handling sensitive data.
• Product thinking with customer-focused shipping.
• Adaptability in fast-growing environments.

Responsibilities

• End-to-End Ownership: Own data products from architecture through APIs and workflows; decide on storage, orchestration, and data modeling.
• Data Collection & Processing: Build and scale pipelines gathering data from diverse sources and normalizing it for product/research use.
• Secure Data Handling: Implement PII redaction, tenant isolation, encryption at rest, and access controls for trust.
• Data Integration & Reliability: Ingest structured/unstructured data; handle schema changes and partial failures without breaking downstream.
• Customer & Research Collaboration: Partner with researchers, product teams, and enterprise customers to translate requirements into durable data capabilities.
• Pragmatic Shipping: Balance long-term rigor with incremental shipping and learning from real-world usage.

Skills

Python

TypeScript

SQL

Data modeling

Data pipelines

Security mindset

Product thinking

Adaptability

API design

Cloud infra

Temporal

Postgres

ClickHouse

Flink

BigQuery

WebRTC

Tools

Temporal

Postgres

ClickHouse

Flink

BigQuery

WebRTC

Job description

Simile is building an AI-driven simulation platform and seeks a Data Products - Member of Technical Staff to bring real human signal into its systems. You will own end-to-end data products, design scalable pipelines, and ensure secure handling of sensitive data across multi-tenant environments.

Collaboration with researchers and enterprise customers is central to shaping durable data capabilities. You will bridge cutting-edge AI with production-grade data systems, balancing architectural rigor