Pacific Northwest National Laboratory Data Engineer in Applied Machine Learning – Intermediate in SEATTLE, Washington
Organization and Job ID
Job ID: 309746
Directorate: National Security Directorate
Division: Computing and Analytics Division
Group: Data Sciences and Analytics
Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of today’s most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!
For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors’ missions. Help us advance this frontier and protect our nation!
Data Engineering at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by developing data processing/storage systems utilizing cloud, parallel and distributed architectures. We provide capabilities in data modeling and the design, development and deployment of relational, data warehousing, non-relational, and streaming systems. Also focuses on high-performance extract-transform-load processes and big data services that form the foundation of our data science research.
The Data Engineer should have working knowledge in several of the following related-skillsets:
Acquiring/integrating data within a distributed environment (e.g., AWS, Azure, OpenStack, Hadoop)
Data pipeline development (e.g. Spark, NiFi, Kafka, AWS Glue, Kinesis)
Data cleansing and ETL (e.g. Python, SQL)
Scalable/massively parallel databases (e.g. Hive, Redshift, Impala, Athena)
NoSQL databases and cache/indexing services (e.g. Elasticsearch, HBase, MongoDB, Redis).
Interest, curiosity and technical depth to support the development and advancement of a variety of applied problems specific to the national security community.
Discipline, principal job duties/expectations, and qualitative and quantitative measures of performance that exceed the Functional Descriptor:
Technical knowledge in developing and deploying applications in multiple environments – cloud, container services, clusters.
Contribute to the technical content of proposals and technical products such as journal and conference publications technical presentations, and software releases will be expected. Must possess excellent verbal and written communication skills.
The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following:
Design and implement technical approaches to well-defined tasks supporting larger projects.
Mentoring junior staff and students
Work effectively in a dynamic team environment with high expectations for quality.
Lead medium sized projects or large tasks.
Key role in defining technical approach and setting technical direction.
Provides solutions to an extensive range of complex and/or ambiguous problems.
- Bachelor's degree in computer science or closely related field with strong software development and machine learning skills with 2 years' experience or a Master's degree with 0-2 years' experience, or a Ph.D with 0 years’ experience is required.
- Bachelor's degree in computer science or closely related field with strong software development and machine learning skills with 5 years of experience, MS/MA with 3 years of experience, or PhD with 1 year of experience.
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
This position requires the ability to obtain and maintain a federal security clearance.
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.
Directorate: National Security Dir
Job Category: Computation and Information Sciences
Group: Data Sciences & Analytics
Opening Date: 2019-09-03
Closing Date: 2019-10-18