Analytics Engineer, Data Enabling
Core
Design and implement data models and pipelines to enable accurate data querying for both humans and AI agents within a dating app.
Role type
Analytics Engineer (Data Enabling)
Builds
Semantic layers, ontologies, data pipelines, and AI-agent feedback loops for the Pairs dating platform.
Domain
Online dating / AI-native data infrastructure
Deliverable
production ML models (via careerplan.io/jobs/849c888a-0348-4794-9c8d-5e4da7e76b2d-analytics-engineer-data-enabling-at-match-group)
Required skills
Data modeling, SQL, dbt, Dagster, Python, Data quality testing, Cloud DWH optimization, Data governance
Preferred skills
AI Agent interaction, Ontology design, Semantic layer architecture, LLM integration
Technologies
AWS (Aurora, DynamoDB, S3, Kinesis), GCP (BigQuery, Vertex AI), Dagster, dbt, Fivetran, Tableau, Mixpanel, Looker Studio, OpenAI API, Anthropic Claude
