Data Analytics Engineer
Core
Build, optimize, and maintain the analytical data layer that powers decision-making across the organization by transforming business requirements into reliable, well-modeled datasets.
Role type
Data Analytics Engineer
Builds
Reliable, well-modeled datasets and analytical data layers
Domain
Consumer tech, data analytics, cloud data warehousing
Deliverable
production ML models
Required skills
SQL, dbt, cloud data warehouses (BigQuery, ClickHouse), data modeling, data quality design, documentation, cross-functional collaboration
Preferred skills
Python, orchestration tools (Airflow, Dagster), metric layers, semantic layer design, observability tooling (Grafana, Prometheus), cost/performance optimization
Technologies
dbt, SQL, BigQuery, ClickHouse, Airflow, Dagster, Grafana, Prometheus
Responsibilities
Design and maintain dbt models (staging, core, marts); Develop scalable SQL transformations; Implement data quality tests and anomaly detection; Create and maintain documentation for datasets and lineage; Collaborate with Data Engineers on raw data structures; Partner with analysts and product teams to translate requirements; Monitor data pipelines and resolve issues; Support governance initiatives like naming conventions and metric definitions.
Seniority
Mid-level, hands-on IC