Data Engineer - Data Architecture for Data Science & Machine Learning

APPLICATION INSTRUCTIONS: 1. CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. 2. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. 3. If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice 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: 1. Design and maintain scalable, high-performance database solutions to support data science workflows and ML experimentation 2. Partner with data scientists to understand data access patterns and develop storage strategies that accelerate analysis and model training 3. Serve as the internal subject matter expert on PostgreSQL-including schema design, indexing, partitioning, and query optimization 4. Evaluate and integrate alternative database technologies (e.g., MongoDB, Neo4j, Redis, Cassandra) where they provide clear advantages 5. Lead efforts to optimize data pipelines for both structured and unstructured data used in algorithm development 6. Ensure data integrity, security, and governance across storage systems 7. Implement monitoring, automation, and performance-tuning tools for all database environments 8. Advise on data lifecycle management-balancing accessibility for R&D with efficiency and compliance requirements Required skills/experience includes: 1. 5+ years of experience in data engineering, database architecture, or related technical roles 2. Expert-level proficiency in PostgreSQL (query tuning, schema design, indexing, partitioning, replication) 3. Strong understanding of data modeling, normalization vs. denormalization tradeoffs, and query optimization 4. Experience with non-relational databases (e.g., MongoDB, Cassandra, Neo4j, Redis, or DynamoDB) 5. Familiarity with machine learning workflows and how data is consumed for training, evaluation, and deployment 6. Experience with cloud database services (AWS RDS/Aurora, GCP Cloud SQL, Azure Database) 7. Proficiency in SQL and one or more scripting languages (Python preferred) 8. Excellent communication and collaboration skills-comfortable working closely with data scientists, ML engineers, and software developers Preferred skills/experience includes: 1. Experience architecting hybrid data ecosystems spanning relational, NoSQL, and analytical databases. 2. Knowledge of data lake, warehouse, and feature store architectures (e.g., Snowflake, Redshift, BigQuery, Feast) 3. Familiarity with ET /ELT frameworks and data orchestration tools (e.g., Airflow, dbt) 4. 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 Science19+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Data Science (ARL) - Advanced Professional, this position requires:Bachelor's Degree - Engineering or Science5+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Data Science (ARL) - Senior Professional, this position requires:Bachelor's Degree - Engineering or Science14+ years of relevant experienceRequired 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 atwww.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 Disc