Data Engineer - Data Architecture for Data Science & Machine Learning

Job Description

APPLICATION INSTRUCTIONS:
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Please do not apply here, apply internally through Workday.
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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.
Located in either State College, PA or Reston, VA
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

​
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.g., MongoDB, Neo4j, Redis, Cassandra) where they provide clear advantages
Lead efforts to optimize data pipelines for both structured and unstructured data used in algorithm development
Ensure data integrity, security, and governance across storage systems
Implement monitoring, automation, and performance-tuning tools for all database environments
Advise on data lifecycle management-balancing accessibility for R&D with efficiency and compliance requirements
Required skills/experience includes:
5+ years
of experience in data engineering, database architecture, or related technical roles
Expert-level proficiency in PostgreSQL
(query tuning, schema design, indexing, partitioning, replication)
Strong understanding of
data modeling
, normalization vs. denormalization tradeoffs, and query optimization
Experience with
non-relational databases
(e.g., MongoDB, Cassandra, Neo4j, Redis, or DynamoDB)
Familiarity with
machine learning workflows
and how data is consumed for training, evaluation, and deployment
Experience with
cloud database services
(AWS RDS/Aurora, GCP Cloud SQL, Azure Database)
Proficiency in SQL and one or more scripting languages (Python preferred)
Excellent communication and collaboration skills-comfortable working closely with data scientists, ML engineers, and software developers
Preferred skills/experience includes:
Experience architecting
hybrid data ecosystems
spanning relational, NoSQL, and analytical databases.
Knowledge of
data lake, warehouse, and feature store architectures
(e.g., Snowflake, Redshift, BigQuery, Feast)
Familiarity with ETL/ELT frameworks and data orchestration tools (e.g., Airflow, dbt)
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
Work location can be fully on-site located in State College, PA or Reston , VA. Questions related to flexible work should be directed to the hiring manager during the interview process.

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. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our
Benefits Page
.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review
here
.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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