Mobile nrel Logo

Job Information

NREL Data Engineer and Curator in Golden, Colorado

Posting Title

Data Engineer and Curator



CO - Golden


Position Type



Hours Per Week



Job Description

NREL conducts world-class energy research in the public interest. Nestled in the foothills of Golden, Colorado, surrounded by grassland, and convenient to Denver, Boulder, and several suburbs, the NREL campus is a living experiment filled with curious researchers and advanced energy technologies (e.g., best-in-class energy efficiency, daylighting, MW-scale solar photovoltaics, buildings heated by waste heat from our in-house supercomputer, optimized electric vehicle charging, hydrogen fueling station).

The successful candidate will work as a data engineer/curator in Golden with an interdisciplinary team of experienced NREL researchers to create a harmonized data framework to be used and continually maintained by NREL and other grid systems modelers on a collaborative basis.

The successful candidate will (a) develop processes and software that empower NREL researchers to document, share, and update data sources related to modeling North American (and other) power grids in a more robust, collaborative, and repeatable manner; (b) assist with cleaning, curating, and analyzing these data in ways that are supportive of and add additional value to our world-class modeling efforts; and (c) internally publicize this resource and develop additional software tools that empower NREL analysts with varying programming skills to take full advantage of and to be able to contribute to these data products.

Organizationally, this position resides in the Data, Analytics, Tools, and Applications group (DATA) of the Strategic Energy Analysis Center (SEAC). DATA, SEAC, and NREL more broadly are committed to fostering a creative, curiosity-driven, inclusive workplace, and to supporting and mentoring research staff as they progress from task execution to principal investigator and beyond.


Basic Qualifications

PhD in Computer Science, Mathematics or Engineering or related. Or, Master's Degree in Computer Science, Mathematics or Engineering or related and 3 or more years of experience. Or, Bachelor's Degree in Computer Science, Mathematics or Engineering or related and 5 or more years of experience .


Additional Qualifications

Demonstrates broad understanding and wide application of engineering technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good writing, interpersonal and communication skills.

Preferred Qualifications

Preferred Qualifications

  • Data experience ( required )

  • Experience managing relational databases and writing high-performance SQL queries.

  • Experience managing and cleaning unstructured or otherwise disparate data sources (preferably using Python).

  • Experience in software- or data-product engineering and delivery to multiple stakeholders and interest groups.

  • Computer programming ( required )

  • Proficiency in at least one object-oriented language, e.g., Python, C++ or Java.

  • Computer programming ( desired )

  • Three or more years of experience collaboratively developing object-oriented software

  • Experience with version control systems (e.g., git, svn, or bitbucket)

  • Proficiency with multiple languages (e.g., some subset of Python, C++, Julia, Ruby, R, Java, Go, Pascal/Delphi, Matlab, Fortran 90, C#, C)

  • Science, engineering, mathematics ( required )

  • Undergraduate degree in science, engineering or mathematics

  • Coursework exposure to basic electrical engineering concepts and an interest in power systems/electrical grids

  • Experience visualizing and analyzing numerical data

  • Experience with computational models of complex systems

  • Science, engineering, mathematics, and economics/social science ( desired )

  • Coursework or experience in power system operational modeling (e.g., AC powerflow, unit commitment models, distribution system modeling)

  • M.S. or higher in software engineering, computer science, applied mathematics/statistics, or another engineering, science, or social science field with a significant database/computational modeling component.


Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.


EEO Policy

NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.

NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. For additional information, click here at .

The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.

Please review the information on our Hiring Process at website before you create an account and apply for a job. We also hope you will learn more about NREL at , visit our Careers site at , and continue to search for job opportunities at at the lab.

NREL discloses to you that a consumer report, including an investigative consumer report containing information as to your character, general reputation, personal characteristics and mode of living, may be obtained for employment purposes as part of the pre-employment background investigation and at any time during your employment. Should an investigative consumer report be requested, you will have the right to request a complete and accurate disclosure of the nature and scope of the investigation requested and a written summary of your rights under the Fair Credit Reporting Act (FCRA) at .