Senior AI Data Platform Engineer (Remote-Friendly)

United States Digital Space LLC

United States

Hybrid

USD 140,000 - 190,000

Full time

10 days ago

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Benefits offered by this job

Edenred card
Extra vacation day

Job summary

Recare is seeking a Senior AI Data Platform Engineer (m/w/d) to own and evolve the data backbone powering its AI products, including Voice, Extract & Docs, and Agent. You will ensure reliable ingestion, processing, and serving for scalable AI systems in healthcare, with a focus on secure, production-grade data pipelines.

You will design asynchronous processing, define API contracts, and implement data lifecycle primitives, retention, and provenance, while collaborating with BI and Product Data

Qualifications

  • Strong software engineering fundamentals and high design standards.
  • Hands-on with production-grade data and ingestion systems.
  • Experience with asynchronous processing systems (queues, workers).
  • Comfort owning service APIs and data contracts across teams.

Responsibilities

  • Own and evolve data ingestion and processing backbone (batch/streaming).
  • Design and operate asynchronous processing for heavy AI workloads.
  • Define and maintain API contracts and data schemas across producers/consumers.
  • Own data lifecycle: encryption, retention, deletion, right-to-erasure, provenance.

Skills

Software engineering fundamentals
AI-native engineering
Data ingestion
Asynchronous processing
AWS / cloud
Observability
Problem ownership
English communication

Tools

Go
Snowflake
dbt
Looker

Job description

Recare is seeking a Senior AI Data Platform Engineer (m/w/d) to own and evolve the data backbone powering its AI products, including Voice, Extract & Docs, and Agent. You will ensure reliable ingestion, processing, and serving for scalable AI systems in healthcare, with a focus on secure, production-grade data pipelines.

You will design asynchronous processing, define API contracts, and implement data lifecycle primitives, retention, and provenance, while collaborating with BI and Product Data

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