Data Engineer
Core
Build and operate end-to-end data pipelines and models to power datamarts and KPIs for data science, product, and leadership.
Role type
Data Engineer
Builds
Production data pipelines, data models, and datamarts
Domain
Cloud data engineering, analytics
Deliverable
production ML models
Required skills
Spark, Python, SQL, schema design, dimensional data modeling, cloud data lake/lakehouse
Preferred skills
Medallion architectures, incremental data modeling, Airflow, data quality monitoring, streaming architectures
Technologies
Spark, SparkSQL, Databricks, Airflow, Kafka, Kinesis, Structured Streaming, Monte Carlo
Responsibilities
Build and maintain Spark/SparkSQL jobs; own pipelines from requirements to deployment; contribute to data quality frameworks and lineage; partner with data scientists and analysts; extend datamarts; improve pipeline reliability and cost efficiency; participate in on-call rotation
Seniority
Mid-level, hands-on IC
