Sean Mackesey
Software Engineer at Dagster Labs (Formerly Elementl Inc)
Reston, Virginia, United States
Summary
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Rockstar🎓
Top SchoolSean Mackesey is a software engineer with 13 years of experience, currently contributing to Dagster Labs on the core orchestration platform for data asset development and production. He specializes in backend engineering with deep Python expertise, particularly in type annotations, code generation, and serialization/deserialization for large open-source systems. His work at Dagster emphasizes refactoring, bug fixes, and feature additions that improve reliability and developer experience in a widely used data orchestration project. Sean pairs a strong engineering practice with academic rigor from a long PhD trajectory at UC Berkeley and an MS in Computational Biology, bringing analytical depth to practical software problems. Based in Reston, VA, he blends scientific training in chemistry and computational biology with hands-on open-source development. Colleagues rely on him for thoughtful, maintainable changes that scale across complex data workflows.
13 years of coding experience
BA, Chemistry, BA, Chemistry at Northwestern UniversityMS, Computational Biology, MS, Computational Biology at George Mason University
Stackoverflow
10,791reputation
679kreached
23answers
146questions
Github Skills (17)
dagster10
python10
type-annotations10
refactor9
apidoc9
api9
refactoring9
computer-engineering8
ansi-escape6
coding-style6
julia6
zsh6
vim6
pyright6
geektool6
Programming languages (17)
Github contributions (5)
dagster-io/dagster
Oct 2021 - Jan 2023
An orchestration platform for the development, production, and observation of data assets.
Role in this project:
Backend Engineer
Backend EngineerContributions:1526 reviews, 665 commits, 2119 PRs in 1 year 2 months
Contributions summary:Sean primarily contributed to the core functionality and maintenance of the Dagster orchestration platform. Their work focused on refactoring code, fixing bugs, and adding new features. The user demonstrated strong skills in Python, particularly related to type annotations, and familiarity with the Dagster framework, including code generation, serialization and deserialization.
operationpythonobservationschedulermetadata
ursk/sparco
May 2014 - Jul 2014
Contributions:53 commits in 1 month
sparseconvolutionalconvolutional-sparse-codingsparse-coding
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