Data Engineer - Data Architecture for Data Science & Machine LearningDormont Manufacturing Company • University Park, Texas, United States
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Data Engineer - Data Architecture for Data Science & Machine Learning
Dormont Manufacturing Company
- University Park, Texas, United States
- University Park, Texas, United States
À propos
Location: State College, PA or Reston, VA.
Remote and hybrid work approvals are not guaranteed.
Responsibilities
Design and maintain scalable, high‑performance database solutions for 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 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 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 (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 at least one scripting language (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 (Snowflake, Redshift, BigQuery, Feast).
Familiarity with ETL/ELT frameworks and data orchestration tools (Airflow, dbt).
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Minimum Education, Experience & Certifications
Research & Development Engineer – Principal Professional: Bachelor’s in Engineering or Science, 19+ years of relevant experience, no required certifications.
Research & Development Engineer – Advanced Professional: Bachelor’s in Engineering or Science, 5+ years of relevant experience, no required certifications.
Research & Development Engineer – Senior Professional: Bachelor’s in Engineering or Science, 14+ years of relevant experience, no required certifications.
Salary & Benefits Salary range: $109,300 – $219,600. Geographic differential may apply.
Benefits include comprehensive medical, dental, and vision coverage, retirement plans, paid time off (holidays, vacation, sick), and a 75% tuition discount for employees and eligible spouses/children.
Background Checks / Clearances Employment requires successful completion of a background check per university policies. Candidates must be U.S. citizens and must be able to obtain a government security clearance. Pre‑employment drug screening is required.
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. 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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Compétences linguistiques
- English
Avis aux utilisateurs
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