Early Data Privacy Engineer: De-Identification Pipelines

Tonic.ai; United States; Remote; USD 100,000 - 150,000; Full time

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

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.