Data Engineer (AI)

TL;DR

Data Engineer (AI): Building and maintaining data pipelines to power hirify.global's research on AI's economic impact with an accent on processing large-scale Claude usage logs, maintaining user privacy, and leveraging language models. Focus on designing data models for economic research and collaborating with cross-functional teams to align on tooling and infrastructure.

Location: Must be in one of hirify.global's offices at least 25% of the time.

Salary: $230,000 - $275,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems.

What you will do

• Build and maintain data pipelines that process large-scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.
• Expand privacy-preserving tools to enable new analytic functionality to support research needs.
• Design and build upon novel data systems leveraging language models (e.g., ) where traditional data engineering patterns don't yet exist.
• Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.
• Lead the strategic development of the economic research data foundations roadmap.
• Ensure data reliability, integrity, and privacy compliance across all economic research pipelines and retention runs.

Requirements

• 5+ years of experience as a Data Engineer, Analytics Engineer, or Software Engineer working on data engineering or data foundations, with a track record of building and maintaining production systems.
• Have experience with data infrastructure and large datasets in production environments.
• Have experience with cloud infrastructure platforms such as AWS or GCP.
• Design, implement and test data models for economic research.
• Strong programming skills in Python and SQL, with experience building production-quality data pipelines and analytical tools.
• Must have at least a Bachelor's degree in a related field or equivalent experience.

Nice to have

• Background in econometrics, statistics, or quantitative social science research.
• Experience building data infrastructure and data foundations for research.
• Familiarity with large language models, AI systems, or ML research workflows.
• Prior work on projects related to labor economics, technology adoption, or economic measurement.

Culture & Benefits

• Offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours.
• Lovely office space in which to collaborate with colleagues.
• Work as a single cohesive team on just a few large-scale research efforts.
• Value impact — advancing our long-term goals of steerable, trustworthy AI.

Hiring process

• We encourage you to apply even if you do not believe you meet every single qualification.
• Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.