1+ months


University of Washington
Seattle, WA 98104


Req #: 173492
Job Location: Seattle Campus
Posting Date: 10/23/2019 
Closing Info: Open Until Filled 
Salary: Salary is commensurate with experience and education 
Shift: First Shift 
Notes: As a UW employee, you will enjoy generous benefits and work/life programs.  For detailed information on Benefits for this position, click here.  

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world.

UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a Great College to Work For for six consecutive years. 

The University of Washingtons Center for an Informed Public is seeking a Senior Data Engineer to build and maintain secure, high quality, innovative data infrastructure to support its research mission.

The UW Center for an Informed Public (CIP), launching Fall 2019, is a new collaborative, multidisciplinary effort that brings together faculty, staff, students and community partners in service of a core mission aiming to resist strategic misinformation, promote an informed society, and strengthen democratic discourse. A core objective of the Center for an Informed Public (CIP) is to provide computational and methodological support to diverse researchers working on these problems. The Senior Data Engineer will work in partnership with the Centers Managing Director of Strategy and Operations (Center Director) and in close collaboration with CIP researchers to design, implement, and maintain infrastructure for the study of big social data. This infrastructure will include data architecture for collecting, storing, retrieving data; software tools for analyzing that data; and Application Programming Interfaces (APIs) for enabling access to that data. Data will encompass text, multimedia, and metadata from a variety of social media and other digital platforms.

Our ideal candidate has extensive experience engineering complex data architecture for collection, storage, and retrieval of big data, strong communication skills, an appreciation for human-centered design, and a motivation to work with academic researchers to develop innovative methodological solutions and make societally important discoveries in this emerging field.

This position is integral to the research mission of the Center but is not a direct research position. The primary responsibilities will be supporting others research. However, the senior engineer may have the opportunity to contribute to published research in ways that warrant authorship.

In the Information School (iSchool) there is an expectation that all faculty and staff will step up where they see an opportunity to apply their special expertise or talents, speak up when they identify opportunities or concerns, and lead by taking actions that exemplify the iSchools core values.  Leadership within the iSchool is expressed in diverse ways reflecting the variety of styles and cultures that are represented by our faculty and staff.

Design, Build and Maintain Data and Research Infrastructure:
Design, develop, implement, and administer data infrastructure to support research on social media and other online content.
Build web applications and tools to support streaming, storing, curating, searching and analyzing diverse data sources (social media platforms, websites, etc).
Maintain existing websites, tools, and system infrastructure.
Work with faculty researchers to design the sociotechnical infrastructure (including systems, tools, methods, and processes) to support researchers with various levels of computational expertise.
Design access points for facilitating access utilization into our data by internal and external researchers.
Design, implement, maintain, and administer databases and other tools to support research on social media and other online content.
Ensure effective integration and security of applications, data, and components to deliver a high quality system capable of supporting real-time data production and complex, data-intensive scientific user analysis.

Bachelors degree in computer science, computer engineering, information science or a related technical field.
3+ years of experience engineering and administering large-scale databases.
Technical experience:
   - Significant experience with:
     -- Python
     -- SQL (MySQL and Postgres) experience including complex queries and optimization.
     -- Designing data structures, algorithms and techniques to support large scale data analysis.
     -- Using and developing APIs
     -- Documenting solutions, use cases, and recommendations
   - Substantial experience:
     -- Using and integrating security controls for web applications, mobile platforms, and backend systems.
     -- Linux administration
     -- Administering large-scale databases: MySQL, Postgres
     -- Version control software (preferably git and familiarity with Github)
   - Some experience/knowledge in:
     -- Full-stack web development (ideally Django and Angular)
     -- Python and R data science libraries (pandas, numpy, tidyverse, etc.)
     -- Data mining, machine learning, NLP techniques.
Other required skills:
   - Demonstrated understanding of how to communicate complex technical concepts to researchers with a range of technical expertise.
   - Responsive, proactive style in supporting the needs of researchers.
   - Experience managing complex projects from start to finish.
   - Ability to work independently or as part of a team and interact well with faculty and research and users.
   - Experience documenting processes and procedures.
   - Demonstrated success in working with diverse populations.

Advanced degree encouraged.
Training in and appreciation of user- or human-centered design principled are highly recommended.

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.

Benefits, including medical and dental insurance and retirement plan.
Paid vacation and sick leave, as well as 10 paid holidays a year and one personal day.
Subsidized transit.
Work for an exciting, cutting-edge center within the University of Washington.

A satisfactory outcome of a reference check of previous employment.

Application Process:
The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process.  These assessments may include Workforce Authorization, Cover Letter and/or others.  Any assessments that you need to complete will appear on your screen as soon as you select Apply to this position. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your My Jobs page. If you select to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.

Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.

The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral.

The University of Washington is an equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 / 206-543-6452 (tty) or dso@uw.edu.


Posted: 2019-12-05 Expires: 2020-02-10

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University of Washington
Seattle, WA 98104
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