Data Engineer 4
Core
Designing and maintaining advanced data structures and pipelines to standardize, transform, and ensure the quality of diverse data for insights generation and reporting.
Role type
Senior IC data engineer (strategic guidance & mentorship)
Builds
Data ingestion frameworks, pipelines, database views, and APIs for structured/unstructured data
Domain
Media and technology / Data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline development, data quality assurance, ingestion framework design, data storage strategy, data lineage analysis, Kubernetes, Teradata, Databricks, internal tool development, mentoring
Preferred skills
Strategic guidance, independent judgment, cross-functional collaboration
Technologies
Kubernetes, Teradata, Databricks
Responsibilities
Develop data structures and pipelines to standardize and transform data; Ensure data quality throughout ingestion, processing, and loading; Create ingestion frameworks for structured/unstructured data; Establish methods for data consumption by end users and downstream applications; Implement data solutions on platforms like Kubernetes, Teradata, and Databricks; Determine appropriate data storage based on privacy and sensitivity requirements; Understand data lineage and transformation rules for troubleshooting; Mentor junior data engineers; Contribute to internal data engineering tools and frameworks.
Seniority
Senior, hands-on IC with strategic guidance
