Data Engineer - Freewheel
Core
Design, build, and manage data architectures and pipelines that standardize and transform data while preserving its integrity for business insights.
Role type
Senior Data Engineer
Builds
Data pipelines, ingestion frameworks, APIs, database views, and data extracts
Domain
Advertising technology, cloud data platforms
Deliverable
production ML models
Required skills
SQL, Python, Apache Spark, cloud data warehouse management, data pipeline design, data observability, Kubernetes, Databricks, dbt, Airflow, Snowflake
Preferred skills
Embedded business intelligence tools (Looker), data consumption solutions
Technologies
Airflow, AWS, Azure, Cloud Data Warehouse, Databricks, GCP, Kubernetes, Looker, Python, SQL, Snowflake, Spark, dbt
Responsibilities
Design and manage data architectures and pipelines; maintain data quality throughout ingestion, processing, and loading; monitor and report on data quality; provide accessible data consumption methods; implement data solutions across platforms; choose storage platforms based on sensitivity and privacy; manage data lineage and transformation rules; collaborate with cross-functional teams to improve data efficiency.
Seniority
Senior, 5–7 years experience
