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 datasets.
Role type
Data Analytics Engineer
Builds
Reliable, well-modeled datasets for decision-making
Domain
Consumer tech, data analytics, cloud data warehousing
Deliverable
production ML models | product features | dashboards & analysis
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, Python, 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 data documentation and lineage; Collaborate with data engineers on raw data structures; Partner with analysts and product teams to translate requirements into data models; Monitor data pipelines and resolve reporting issues; Support governance initiatives like naming conventions and metric definitions
Seniority
Mid-level, hands-on IC