Forward Deployed Engineer, Data De-Identification

🕒 October 12

🇺🇸 United States – Remote

💵 $120k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 34 days.
• Jobs at this company usually fill in 60 days.

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Tonic.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 $35M Series B on 2021-09

Healthcare • Logistics • Consulting

Tonic. ai is a company that provides software solutions for data security and test data management. They specialize in generating realistic synthetic data to safely test and develop applications without using sensitive real data. Their products focus on data de-identification, data masking, and synthesis, making it easier for engineers to create development environments that mirror production conditions. Tonic. ai also integrates with various relational and NoSQL databases, supporting AI development by transforming unstructured data into safe, usable formats. They cater to industries like healthcare and financial services with compliance needs such as HIPAA and GDPR.

📋 Description

• Own delivery of client de-identification projects from raw data through client acceptance • Run corpora through the de-identification pipeline and check output accuracy • Diagnose, explain, and fix pipeline problems • Rerun pipelines and work with the annotation team to validate quality • Build and adjust ingestion and transformation steps for mailboxes, chat archives, documents, ticketing systems, and databases • Write code merged into the existing platform, including client-specific handling • Run reconciliation checks from ingest through delivery • Contribute to technical client reports covering sensitive data treatment, file handling, and limitations • Walk clients through the work and resulting data • Convert one-off fixes into reusable documentation, runbooks, and product improvements • Learn the platform and delivery process, then independently run engagements from scoping to delivery

🎯 Requirements

• A bachelor’s degree in a technical field (computer science, engineering, math, statistics, physics or similar) • Several years of hands-on work in data engineering, backend engineering, or a solutions/forward-deployed role where you shipped production systems for customers • Strong Python and SQL • Comfortable reading and debugging other people's code • Real experience with at least one major cloud (AWS, GCP or Azure): storage, compute, IAM, networking, and security controls • Experience processing large volumes of unstructured and semi-structured data • Record of delivering complex projects on short timelines, measured in days and weeks • Clear communication with technical and executive audiences • Self-direction and ability to make sound calls independently • Daily use of AI coding tools, agents and LLMs • Experience with model inference or ML pipelines • Exposure to processing unstructured or semi-structured data • Interest in working close to frontier AI labs and the training-data ecosystem • Experience at an early-stage company or on a new product line

🏖️ Benefits

• Equity • Bonus • Competitive compensation • Work alongside technical founders • Exposure to frontier AI labs and the training-data market

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