Data Engineer - Data Architecture for Data Science & Machine LearningPenn State University • Lemont, Illinois, United States

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Data Engineer - Data Architecture for Data Science & Machine Learning

Penn State University

Lemont, Illinois, United States

Lemont, Illinois, United States

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À propos

Senior Data Engineer 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 Visualization and Decision Support Division of Penn State ARL. Responsibilities 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 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 trade‑offs, 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 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 State College, PA or Reston, VA. Minimum Education & Experience Bachelor’s Degree in Engineering or Science. 5+ years of relevant experience. No required certifications. Salary & Benefits The salary range for this position is $121,704.00 – $265,704.00. Penn State provides a competitive benefits package, including comprehensive medical, dental, and vision coverage, retirement plans, paid time off, and a 75% tuition discount for employees and eligible family members. EEO Statement 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.
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Lemont, Illinois, United States

Compétences linguistiques

English

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