Data Engineer 3
Core
Design, develop, and manage advanced data structures and pipelines to ensure data quality, accessibility, and compliance with privacy standards for analytics and reporting.
Role type
Senior individual contributor data engineer
Builds
Scalable data pipelines, ingestion frameworks, and reusable data processing logic on cloud platforms
Domain
Media and technology / Cloud data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python, Cloud platforms (AWS/GCP/Azure), Snowflake, Databricks, Apache Spark, CI/CD, Data lineage
Preferred skills
Distributed computing frameworks, Workflow orchestration (Airflow), dbt
Technologies
Snowflake, Databricks, AWS S3, Iceberg, Apache Spark, Airflow, dbt
Responsibilities
Develop and maintain data structures and pipelines for analytics and reporting; Write efficient SQL queries and transformations; Ensure data quality across ingestion, processing, and loading; Build ingestion frameworks with validation; Establish data consumption methods (views and APIs); Implement data solutions on Snowflake and Databricks; Define and maintain data lineage; Support and mentor junior data engineers; Contribute to internal data engineering tools and automation.
Seniority
Senior, hands-on IC with mentorship responsibilities
