# Conor Curry > Staff Data Engineer at Grailed Location: Cambridge, Massachusetts, United States Profile: https://flows.cv/conorcurry I’m an impact-driven software engineer with a track record of designing, implementing, and maintaining scalable and maintainable data systems. I have specific expertise in developing and administering high-performance data infrastructure and ML applications in production. ## Work Experience ### Staff Data Engineer, Data Science & Data Products @ Grailed Jan 2025 – Present Technical owner of data systems relating to discovery, product recommendations, search optimization, product collection generators, and product quality inference. ### Senior Data Engineer @ Grailed Jan 2022 – Jan 2025 ### Senior Data Engineer @ Encortex Jan 2020 – Jan 2022 I was responsible for the architecture, implementation, and maintenance of a production-scale data system with 300MM+ daily user events at Encortex. My expertise allowed me to efficiently manage the ingestion, transformation, summarization, integration, enrichment, and performance of large datasets. I oversaw the migration of BI analytics in order to increase analytics velocity and uncover insights across the organization, and provided engineering-certified data products to leverage data assets into revenue lifts. My efforts resulted in improved analytics performance, increased discoverability, and a real-time user targeting application based on analytics insights about user behavior. Additionally, I published in-depth analytics whitepapers that outlined action plans for the organization. ### Software Engineer @ Cogo Labs Jan 2019 – Jan 2020 | Cambridge, Massachusetts I ran the Internal Revenue Operations team as a Project Owner. This team is responsible for growing daily internal revenue to $20k+, managing business research related to email marketing channels across incubating verticals, and providing a stable platform for new venture market opportunities. My role also rapidly expanded into people management within Analytics, where I was able to help grow my direct reports' careers and technical development. The RevOps team runs on a data infrastructure foundation that I architected in early 2019, providing a set of UX abstractions to focus the team's work on the most important problems to be solved. This system provided a flexible configuration language for allocating distributed platform, data, and computational resources relevant to the optimization of marketing campaigns and research. My technical contributions were designed by working directly with data analysts to architect robust software that balances the importance of fast turnaround on problems in Analytics against the quality of scalability, maintainability, and operability that are critical to a dependable software system. ### Quantitative Data Analyst @ Cogo Labs Jan 2017 – Jan 2019 | Cambridge, Massachusetts Explored and manipulated large consumer datasets to uncover actionable insights, while developing, operating, and maintaining internal systems responsible for turning those insights into revenue. ### Undergraduate Teaching Assistant @ University of Pittsburgh Jan 2014 – Jan 2017 | Greater Pittsburgh Area Held supplementary lectures, lab sessions, and office hours to teach beginner programmers the basics of computer science through introductory coursework with the Python programming language. ### Peer Tutor @ University of Pittsburgh Jan 2015 – Jan 2016 | Greater Pittsburgh Area I closely assisted students with course material and projects in all core CS classes at the University, as well as several upper level electives. ### Undergraduate Research Assistant @ University of Pittsburgh Jan 2014 – Jan 2015 | Greater Pittsburgh Area I researched implementations and privacy implications of distributed sensing applications. My major development project was processing workplace presence data collected and analyzed using the Raspberry Pi computing platform, and the open computer vision library OpenCV. ### Data Acquisition Sourcing Assistant @ Maponics LLC Jan 2014 – Jan 2014 | White River Junction, VT My responsibilities included the investigation and reverse engineering of websites, to assist in the web scraping of relevant geographical data. I helped to develop manually classified data for use in machine learning algorithms, and participated in research and analysis for targeting new sources of web/API based information. ## Education ### Bachelor of Science - BS in Mathematics and Computer Science University of Pittsburgh ### Study Abroad Linnaeus University ## Contact & Social - LinkedIn: https://linkedin.com/in/conorcurry - GitHub: https://www.github.com/ConorCurry --- Source: https://flows.cv/conorcurry JSON Resume: https://flows.cv/conorcurry/resume.json Last updated: 2026-03-31