Data Engineer 3
Core
Design, develop, and manage advanced data structures and pipelines to ensure data quality, accessibility, and compliance with privacy standards.
Role type
Senior individual contributor data engineer
Builds
Scalable data pipelines, ingestion frameworks, and reusable data processing logic for analytics and reporting
Domain
Media and technology advertising platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python, Cloud platforms (AWS/GCP/Azure), Snowflake, Databricks, Apache Spark, CI/CD, Workflow orchestration (Airflow/dbt)
Preferred skills
Distributed computing frameworks, Cloud data warehouse management
Technologies
Snowflake, Databricks, AWS S3, Iceberg, Airflow, dbt, Apache Spark
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 and quality checks; Establish data consumption methods for end users and downstream applications; Implement data solutions on platforms like Snowflake and Databricks; Define and maintain data lineage and transformation logic; Support and mentor junior data engineers; Contribute to the improvement of internal data engineering tools and automation
Seniority
Senior, hands-on IC with mentorship responsibilities
