Remote Data Engineer Co-op: De-identification Pipelines

Tonic.ai; San Francisco (CA); Remote; USD 34,000 - 55,000; Part time

Job summary

Tonic.ai in San Francisco is seeking a co-op data/ backend engineer for approximately 20 hours per week. You will work on de-identification data pipelines, ingestion, and dataset preparation while collaborating with founders, data science, and platform engineers.

This role emphasizes reliability, code quality, and measurable impact on client engagements. You should have a technical degree or be enrolled in one, strong Python and SQL skills, and a track record of delivering projects with limited

Qualifications

• Bachelor's degree in a technical field or current enrollment in one.
• Hands-on data engineering or backend engineering work shipping production systems.
• Strong Python and SQL skills, and ability to read and debug others' code.
• Experience building repeatable pipelines processing large data volumes.
• AI-native workflow awareness; can validate AI outputs and provide oversight.
• Self-directed with the ability to work with minimal supervision.
• Clear communication across technical and non-technical audiences.
• Track record delivering complex projects on tight timelines; ~20 hours/week availability.

Responsibilities

• Own delivery of client de-identification projects from ingestion to delivery.
• Run corpora through the de-identification pipeline and verify output accuracy.
• Diagnose issues and fix them or clearly explain to an engineer for fixes.
• Rerun pipelines after fixes and coordinate with annotation team for quality.
• Build and adjust ingestion/transformation steps for datasets.
• Write code to merge, within platform guardrails, including client-specific cases.
• Run reconciliation checks tying ingest to delivered data.
• Contribute to client reports explaining sensitive handling and limitations.
• Walk clients through results with founders and grow into responsibilities.
• Turn fixes into reusable documentation and runbooks.

Skills

Python

SQL

Backend engineering

AI workflows

Education

Bachelor's degree in a technical field

Job description

Tonic.ai in San Francisco is seeking a co-op data/ backend engineer for approximately 20 hours per week. You will work on de-identification data pipelines, ingestion, and dataset preparation while collaborating with founders, data science, and platform engineers.

This role emphasizes reliability, code quality, and measurable impact on client engagements. You should have a technical degree or be enrolled in one, strong Python and SQL skills, and a track record of delivering projects with limited