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Inside Higher Ed · 1 week ago

Data Access Engineer

Inside Higher Ed is a global leader in higher education, and they are seeking a Data Access Engineer to join their team at the University of North Carolina at Chapel Hill. This role involves building software systems to manage the data products from the Argus Array, integrating with cloud services, and ensuring data accessibility for astronomers worldwide.
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Responsibilities

Build software systems to get Argus data products into the hands of astronomers around the world
Work to build pipelines and platforms for broad accessibility that scale to the full array
Integration with cloud services, existing distributed storage networks, and the Array’s high-performance GPU accelerated pipelines
Take the alert distribution system to production
Bringing streaming notifications and images of new and changing phenomena in the night sky to both professional and amateur astronomers alike
Oversee periodic data releases of our trillion-point light curves
Establish best practices for data versioning, integrity, and accessibility
Contributing to collaborative development of intuitive, API-first user interfaces for both internal quality assurance and public data access

Qualification

PythonDistributed message systemsSoftware development lifecycleCloud-based databasesTime-series databasesTechnical specificationsUser interfaces

Required

Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor's degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure
We are searching for an engineer with deep Python expertise (5+ years) and demonstrated success in designing and optimizing high-throughput, distributed message systems (3+ years)
Experience with large software projects, including proficiency across the software development lifecycle (version control, documentation, and testing) is required

Preferred

Experience with both cloud-based relational databases (PostgreSQL and Apache Kafka or equivalents) and time-series databases optimized for astronomical data storage and retrieval is preferred
Prior experience translating scientific requirements into technical specifications and building researcher-friendly interfaces for complex datasets

Benefits

Comprehensive benefits package
Paid leave
Variety of health, life and retirement plans
Programs that support a healthy work/life balance

Company

Inside Higher Ed

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Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.

Funding

Current Stage
Growth Stage
Total Funding
unknown
2022-01-10Acquired
2006-08-31Series Unknown

Leadership Team

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Stephanie Shweiki
Director, Foundation Partnerships
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