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Penn State
Data Engineer - Data Architecture for Data Science & Machine Learning
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$126,339 / year median in Pennsylvania
Job Description
Job Number:
REQ_0000080795 Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants .POSITION SPECIFICS
We are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Computational Intelligence and Visualization Application Department in the Applied Research Laboratory (ARL) at Penn State . In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and deploy both traditional and ML-based algorithms and applications. The ideal candidate is a PostgreSQL expert who also brings hands-on experience with other modern data storage technologies-such as NoSQL, graph, and time-series databases- and can guide the organization in choosing the right tools and structures for each data use case.
You will:
Design and maintain scalable, high-performance database solutions to support data science workflows and ML experimentation Partner with data scientists to understand data access patterns and develop storage strategies that accelerate analysis and model training Serve as the internal subject matter expert on PostgreSQL- including schema design, indexing, partitioning, and query optimization Evaluate and integrate alternative database technologies (e.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R D Engineer- Data Science (ARL)
- Principal Professional, this position requires: Bachelor's Degree
- Engineering or Science 19+ years of relevant experience
Required Certifications:
None If filled as R D Engineer- Data Science (ARL)
- Advanced Professional, this position requires: Bachelor's Degree
- Engineering or Science 5+ years of relevant experience
Required Certifications:
None If filled as R D Engineer- Data Science (ARL)
- Senior Professional, this position requires: Bachelor's Degree
- Engineering or Science 14+ years of relevant experience
Required Certifications:
None ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.FOR FURTHER INFORMATION
on ARL, visit our website at www.arl.psu.edu .BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies. Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.SALARY & BENEFITS
The salary range for this position, including all possible grades, is $121,704.00- $265,704.00. Salary Structure
- Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.