Staff Data Engineer

New

Fully remote work environment across the United States.Full-TimeStaff

SalaryCompetitive base salary with additional equity and variable compensation opportunities.

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Job Details

7+ years of experience in Data Engineering, with a proven track record of building scalable data platforms and products.
Strong expertise in modern data stack tools including Snowflake, dbt, SQL, and Python.
Experience with BI and visualization tools such as Looker or similar analytics platforms.
Solid understanding of data modeling principles including star and snowflake schema design.
Experience delivering data products in partnership with Product and Engineering teams in fast-paced environments.
Strong knowledge of data governance, data security, and data quality best practices.
Experience working on machine learning or advanced analytics use cases is a strong plus.
Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders.

Design and maintain scalable data architecture and semantic data models that serve as the single source of truth for analytics and reporting.
Build and optimize end-to-end data pipelines and transformations using modern data stack tools such as dbt and Snowflake.
Partner with Product, Engineering, and Analytics teams to define requirements and deliver data-driven product capabilities and insights.
Develop and support customer-facing analytics features, dashboards, and reporting systems that enhance product value.
Drive initiatives in data quality, governance, performance optimization, and observability across the data platform.
Explore and implement advanced analytics and machine learning use cases such as forecasting, recommendations, and anomaly detection.
Support Snowflake data sharing implementations and ensure secure, scalable access to enterprise and customer data.

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