Degree in Computer Science, Engineering, Information Science, Data Science or related field (graduate preferred)
2+ years professional experience in data engineering or closely related field
Strong ability to communicate complex ideas to non-technical audiences
Proficient in Python and SQL
Experienced in web scraping tools (e.g., Beautiful Soup, Selenium, Scrapy)
Familiar with Google Cloud Platform (or similar) for storage and databases
Experience building data pipelines, especially for text data
Responsibilities
Design and optimize end-to-end data pipelines using Google Cloud Platform
Conduct ad hoc web scraping and data collection for research initiatives
Prepare data through cleaning, transformation, anonymization, and masking
Contribute to the development of APIs following best practices
Collaborate with ML engineers and developers to deliver actionable insights
Drive critical initiatives within the team
Benefits
Fully remote work environment for U.S.-based employees
Comprehensive health, dental, and vision coverage
Support for conferences, continuing education, or leadership training
Generous PTO and paid holiday schedule
401(k) retirement plan
Performance-based annual bonus
Full Job Description
In this role, you will:
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;
Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
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, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and
Drive other critical initiatives.
Requirements:
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)
Experience 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
Compensation & Benefits:
Salary Range: $105K-$125K, depending on experience and location
Bonus: Performance-based annual bonus
Professional Development: Support for conferences, continuing education, or leadership training
Work Environment: Fully remote, U.S.-based
Health Benefits: Comprehensive health, dental, and vision coverage
