Autonomous Data Platform Engineer

WALT

Santa Clara (CA)

On-site

USD 180,000 - 240,000

Full time

9 days ago

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Benefits offered by this job

On-site in Santa Clara

Job summary

WALT is building the world’s first Autonomous Data Engineer – a platform of AI agents that manage data end to end. The role is an AI-native software engineer who will own the technical landscape of data products, turning raw enterprise data into trusted, deterministic answers at scale.

This hands-on position requires designing, implementing, and evaluating systems, setting technical direction for how agents reason over data, and contributing directly to core components.

Qualifications

  • 10+ years building software, focused on data-intensive and analytical products.
  • Proven track record as architect or principal engineer who shipped complex data platforms.
  • Strong expertise in distributed systems, data modeling, and data correctness.

Responsibilities

  • Own end-to-end architecture of analytical and data products (ReasonBase, inference engine, data platform).
  • Design and evaluate systems for correct, reproducible, auditable analytics across large datasets.
  • Make foundational decisions on data modeling, storage, and orchestration for the agent framework.
  • Collaborate with engineers to translate customer problems into robust designs and scalable implementations.
  • Set engineering standards for performance, reliability, security, and governance.

Skills

Data architecture
Distributed systems
SQL
Python
Java/Scala
Go
Rust
LLM/agent AI
Data-intensive analytics

Job description

WALT is building the world’s first Autonomous Data Engineer – a platform of AI agents that manage data end to end. The role is an AI-native software engineer who will own the technical landscape of data products, turning raw enterprise data into trusted, deterministic answers at scale.

This hands-on position requires designing, implementing, and evaluating systems, setting technical direction for how agents reason over data, and contributing directly to core components.

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