Senior Data Analytics Engineer

New

USFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of experience in data analytics engineering, data modeling, BI engineering, or similar roles.
Strong expertise in SQL, with experience in data modeling, query optimization, and working with large-scale datasets.
3+ years of experience with Python and dbt for data transformation and analytics engineering workflows.
Deep understanding of modern data warehousing concepts and cloud data platforms such as Snowflake or similar.
Experience building metrics layers, semantic models, and self-service analytics environments.
Strong analytical and problem-solving skills with the ability to manage multiple complex data projects.
Excellent communication and documentation skills, with the ability to explain technical concepts to non-technical audiences.
Experience working in remote, cross-functional environments with strong ownership and autonomy.

Design, build, and maintain scalable data models, transformations, and pipelines using modern analytics engineering practices in cloud data warehouse environments.
Develop and standardize core business metrics and dimensions to enable consistent, self-service analytics across the organization.
Partner with cross-functional stakeholders to understand decision-making needs and translate them into reliable analytical data products.
Implement and optimize data transformations using tools such as dbt, ensuring high data quality, performance, and maintainability.
Build and evolve semantic layers and KPI frameworks that support dashboards, reporting, experimentation, and advanced analytics use cases.
Define best practices for data modeling, metric definitions, and analytics engineering standards across teams.
Collaborate with data engineering, analytics, and business teams to support end-to-end delivery of data-driven solutions.

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