Member of Technical Staff, Data

Healthcare powered by ATG intelligence

Member of Technical Staff building scalable data pipelines and infrastructure for ATG, an AI lab deploying reasoning systems in financial markets. Supporting reliable datasets and benchmarks for large-scale AI research.

Posted 8/4/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $150,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines and infrastructure for AI research, with a strong focus on data quality, validation, and access. Proficient in Python, SQL, and PySpark, with experience in cloud environments and handling unstructured data.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyPySpark ExperienceData Pipeline DevelopmentCloud Data Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignETL Pipeline DevelopmentData Quality MonitoringData CleaningData LabelingData Access ManagementData ValidationData Infrastructure ToolsHandling Unstructured DataScaling Data Pipelines

Soft Skills

CuriosityRigor

Industry Keywords

AI ResearchMachine LearningData PrivacyData ReproducibilityHybrid Environments

Tech Stack

Tools & technologies

CloudETLPySparkPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain robust data pipelines and infrastructure for large-scale AI research
Build and operate ETL pipelines for large, heterogeneous datasets
Develop and manage storage, cleaning, labeling, and data access infrastructure
Build tools for data quality, validation, and monitoring
Collaborate to create datasets and benchmarks for novel ML problems
Ensure researchers and engineers have clean, reliable, high-quality data for every experiment

Requirements

What you’ll need

Strong software engineering skills in Python, SQL, PySpark, and data infrastructure tools
Experience scaling data pipelines in cloud or hybrid environments
Ability to work with unstructured, messy, or adversarial data
Curiosity and rigor about data quality, privacy, and reproducibility
Candidates must not require current or future employment visa sponsorship in the United States

Benefits

Comp & perks

Equity
Work on AI with a massive market opportunity
Early team of repeat founders backed by top investors
High agency, talent dense, zero bureaucracy