Data Engineer, Analytics Data Products

2+ years of hands-on experience in a Data Engineering, Data Warehousing, Analytics Engineering or equivalent role

Proficiency in SQL and experience with complex, production-level data modeling (dimensional modeling, Kimball, OBT, or Data Vault)

Demonstrated experience designing, developing, and deploying end-to-end data products through the full Software Development Lifecycle

Experience with a Cloud Data Warehouse, like BigQuery

Proficiency in Python for scripting and data manipulation, including knowledge of PySpark or other Spark APIs

Familiarity with cloud services and data storage components in at least one major cloud provider (GCP or AWS)

We are part of a New York-based technology organization with a remote-friendly workplace that includes engineers around the world.

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Design, model, and implement complex ELT/ETL pipelines for the cleansed and curated data layers in the medallion architecture, taking full ownership of the data product's structure, partitioning, documentation, and performance characteristics.

Develop advanced data transformations using dbt (data build tool) for relational data modeling and PySpark for large-scale data processing within the Lakehouse, ensuring outputs meet strict Service Level Agreements and quality standards.

Collaborate across teams to define requirements and translate them into robust and scalable data models suitable for analytic consumption.