Senior Data Engineer: Ontology & Semantic Modeling Lead
SoundThinking
Fremont (CA)
Hybrid
USD 130,000 - 170,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
A leading data and AI firm is seeking a Sr. Data Engineer to design scalable data pipelines and contribute to an ontology-driven semantic layer. The role requires experience with Databricks, SQL, and Postgres, along with proficiency in Python. Candidates should have a minimum of 5 years in data engineering and be comfortable working in AWS environments. This position is office-based in Fremont, CA, with a hybrid work model expected, requiring onsite work three days a week.
Qualifications
Experience working in production environments with Databricks and Spark.
Advanced SQL and strong data modeling skills required.
Experience building reliable ETL/ELT pipelines.
Responsibilities
Design and maintain ontologies, taxonomies, and semantic models.
Build and operate scalable data pipelines using Databricks.
Analyze existing Postgres schemas to identify performance bottlenecks.
Skills
Data Engineering
Databricks
SQL
Postgres
Python
AWS
Education
5+ years in Data Engineering or Data Architecture
Tools
Spark
Graph databases (Neo4j)
Job description
A leading data and AI firm is seeking a Sr. Data Engineer to design scalable data pipelines and contribute to an ontology-driven semantic layer. The role requires experience with Databricks, SQL, and Postgres, along with proficiency in Python. Candidates should have a minimum of 5 years in data engineering and be comfortable working in AWS environments. This position is office-based in Fremont, CA, with a hybrid work model expected, requiring onsite work three days a week.