Delivery Engineer (Fully Remote)

Tonic.ai

United States

Remote

USD 100,000 - 150,000

Full time

4 days ago
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Job summary

Tonic.ai in the United States is seeking an early-stage data engineer to take ownership of client de-identification projects from initial data assessment to final delivery, collaborating with founders and AI labs.

You will run corpora through the de-identification pipeline, verify output accuracy, fix issues, and build repeatable data pipelines using Python and SQL.

This role offers the chance to shape tooling and processes for data privacy in AI training and to grow with a fast-growing team.

Qualifications

  • A technical degree or current enrollment in a technical field.
  • Hands-on experience in data engineering, backend engineering, or solutions roles.
  • Strong Python and SQL skills, with experience building repeatable data pipelines.

Responsibilities

  • Take ownership of client de-identification projects from initial data assessment to final delivery.
  • Run corpora through the de-identification pipeline, check output accuracy, and fix issues.
  • Build and adjust ingestion and transformation steps for various data sources.

Skills

Python
SQL
Data pipelines
Backend engineering

Education

Technical degree or enrollment in a technical field

Job description

  • Take ownership of client de-identification projects from initial data assessment to final delivery.
  • Run corpora through the de-identification pipeline, check output accuracy, and fix issues.
  • Build and adjust ingestion and transformation steps for various data sources.

What We're Looking For:

  • A technical degree or current enrollment in a technical field.
  • Hands-on experience in data engineering, backend engineering, or solutions roles.
  • Strong Python and SQL skills, with experience building repeatable data pipelines.

Why Join:

  • Be an early engineer in a fast-growing business solving a critical AI data privacy problem.
  • Work directly with technical founders and frontier AI labs.
  • Build tools and processes that will shape the future of data de-identification.
Tonic.ai

Tonic.ai has been de-identifying sensitive data since 2018, serving enterprises like eBay and Qualcomm. They are a growing team focused on solving data privacy challenges for AI training with a collaborative and diverse culture.

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