Sr. Data Engineer
Core
Build and own the data foundation (pipelines, models, infrastructure) for an AI-powered workforce development platform connecting people to jobs.
Role type
Senior Data Engineer (hands-on IC)
Builds
Production data pipelines, data warehouse models, and ML data infrastructure for a job-matching platform
Domain
SaaS/AI technology, Labor market data, Workforce development
Deliverable
production ML models
Required skills
Python, SQL, Data pipeline design (ETL/ELT), Data modeling, Cloud data warehouses, Orchestration tools, External data integration, Data quality assurance
Preferred skills
Labor market data experience, Taxonomic data handling, ML infrastructure experience
Technologies
Python, SQL, Airflow, dbt, PostgreSQL, Redshift, MongoDB, AWS, Looker, Quicksight, SageMaker
Responsibilities
Design and operate ingestion/transformation pipelines for labor market and product data; Own data modeling and quality for core taxonomies; Build datasets for internal analytics and customer reporting; Maintain pipelines feeding matching/recommendation ML models
Seniority
Senior, hands-on IC