Phenom is looking for an Associate Data Engineer to extend their data pipelines for ontology-based use cases, supporting the development of AI-powered talent experience platform features.
Requirements
- Exposure to at least one programming language (preferably Python or Java).
- Good knowledge of databases and SQL.
- Interest in data modeling, pipelines, or semantic technologies (ontology, taxonomies, knowledge graphs).
- Familiarity with tools like Airflow, Spark, or any data integration platforms would be an asset(s).
- Exposure to graph databases or semantic web concepts would be an asset(s).
- Completed coursework, internships, or personal projects related to data engineering or data science would be an asset(s).
Responsibilities
- Design, develop, and maintain scalable data pipelines to ingest and enrich new data sources.
- Implement data transformations and mappings to align raw data with enterprise ontologies and taxonomies.
- Collaborate with ontology specialists, data scientists, and application teams to understand semantic requirements.
- Develop frameworks for metadata tagging, entity resolution, and relationship extraction.
- Ensure data quality, observability, and reliability in extended pipelines.
- Optimize data workflows for low-latency and real-time use cases where applicable.
- Support deployment of use cases such as semantic search, skill inference, and personalized recommendations.
Other
- Degree in Data Science, Computer Science, Information Systems or related fields.
- Strong logical reasoning, problem-solving, and analytical thinking skills.
- Curiosity and interest in building a career in data engineering.
- This is a full-time, hybrid position located at the headquarters in Ambler, PA, requiring 3 days per week in-office.
- Candidates must currently reside within a 50-mile radius of Ambler, PA.
- Employment visas will not be sponsored or transferred for this position at this time.
