Anneliese Zufelt

Anneliese Zufelt

Principal Software Engineer @ Sandia National Labs

About Anneliese Zufelt

Anneliese Zufelt is a Principal Software Engineer at Sandia National Laboratories with over a decade of experience in software engineering and a background in Statistical Science.

Current Position at Sandia National Laboratories

Anneliese Zufelt is currently employed at Sandia National Laboratories as a Principal Software Engineer. She commenced this role in 2021. Her responsibilities likely include leading software projects, ensuring the efficient use of technology and data, and mentoring junior engineers.

Previous Roles at Sandia National Laboratories

Before her current role, Anneliese Zufelt held several positions at Sandia National Laboratories. She was a Senior Software Engineer from 2020 to 2021 and from 2016 to 2017. Additionally, she was a Senior Software Engineer for Data Science from 2017 to 2018. These roles involved significant contributions to software engineering and data science projects, enhancing the laboratory's technological capabilities.

Experience at Affinity Search Partners, LLC

From 2014 to 2016, Anneliese Zufelt worked at Affinity Search Partners, LLC as a PHP Programmer. This remote position allowed her to further hone her skills in PHP development, contributing to various projects over a span of two years.

Academic Background at Brigham Young University

Anneliese Zufelt obtained her Bachelor's degree in Statistical Science from Brigham Young University, where she studied from 2007 to 2011. This academic background has provided her with a strong foundation in statistical analysis, which she has effectively applied throughout her professional career.

Early Career Positions

Anneliese Zufelt's early career includes roles such as LAMP Web Developer/Data Analyst at Qualtrics Labs from 2011 to 2012, Health Systems Analyst Programmer II at Vanderbilt University Medical Center from 2012 to 2014, and various positions at Brigham Young University. These roles helped establish her expertise in statistical science, data analysis, and software development.

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