AI-First Data Engineer
Core
Build and optimize cloud-native data pipelines and data models on AWS to power analytics, operational use cases, and AI/ML systems for thousands of gyms and 10M+ members.
Role type
Senior IC data engineer (AI-first data platform)
Builds
Cloud-native data pipelines, data models, and infrastructure for AI and analytics
Domain
Fitness industry, SaaS, data warehousing, AI/ML
Required skills
Data warehousing, SQL, Python, dbt, data modeling (dimensional modeling, slowly-changing dimensions), debugging data issues, data governance, testing, lineage
Preferred skills
AWS (Redshift, EMR, Glue, S3, IAM), GCP or Azure, Streaming/CDC (Kafka, Kinesis, Debezium), data mesh, building pipelines for ML/AI, financial/payments data
Technologies
AWS, Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC, DynamoDB, MongoDB, Kafka, Kinesis, Debezium
Responsibilities
Build and optimize ETL/ELT pipelines and underlying infrastructure; Design and evolve data models for analytics and AI/ML; Embed governance, testing, and lineage; Partner with product and engineering to solve business problems; Evaluate and evolve new approaches like data mesh and AI tooling; Support financial and regulatory reporting workstream
Seniority
Mid-to-Senior, hands-on IC
