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10a Labs · 6 hours ago

Data Engineer

United States

Full-time

Remote

Entry, Mid Level

$105K/yr - $125K/yr

2+ years exp

10a Labs is an applied research and AI security company trusted by AI unicorns and Fortune 10 companies. In this role, you will design and implement end-to-end data pipelines, automate workflows for red teaming, and collaborate with engineers to deliver insights and tools.

Research

Responsibilities

Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices

Automate red teaming, including developing automated workflows for prompt generation, model evaluation, and execution of AI experiments

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives

Design and automate workflows and research experiments, including for data curation, storage, and organization

Brainstorm novel research approaches to both known and emerging problems involving AI, data, and the internet

Implement robust error handling, logging, and monitoring

Design and maintain database schemas and pipeline infrastructure

Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking

Contribute to the development of internal and external APIs, following best practices

Collaborate with ML engineers, data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps

Qualification

Data engineeringPythonSQLGoogle Cloud PlatformWeb scrapingAPIs deploymentCommunication skillsCollaborationProblem-solving

Required

Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)

2+ years of professional experience in data engineering or a closely related field

Ability to communicate complex technical ideas clearly to non-technical audiences

Proficiency in Python, SQL

Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)

Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)

Experience building and managing data pipelines, especially for text data

Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Experience deploying APIs on cloud platforms (GCP, AWS, Azure) with robust testing, CI/CD, and performance monitoring practices