Data Engineer
Core
Build and maintain tracking infrastructure, data processing pipelines, and ML systems for product analytics, experimentation, and feature computation.
Role type
Senior Data Engineer (ML Infrastructure)
Builds
Production data and ML systems for product analytics, experimentation, and feature serving
Domain
Data Engineering / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Databricks, schema design, CI/CD, observability, incident management
Preferred skills
dbt, DLT, Dagster, Airflow, Kafka, Spark Structured Streaming, Terraform, feature stores, MLOps, PHI/HIPAA compliance
Technologies
Databricks, Snowflake, BigQuery, dbt, Kafka, Spark, Terraform
Responsibilities
Build tracking infrastructure with source-enforced schemas; Develop Bronze/Silver/Gold data pipelines; Create self-service templates and deployment gates; Operate production systems and resolve incidents; Implement testing, lineage, and data-diffing capabilities
Seniority
Mid-Senior, hands-on IC