Senior Analytics Engineer

DigibleDigital Marketing

This role is open to candidates located within the United States.Full-TimeSenior

Salary$140,000 to $160,000

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Job Details

Experience: 5-7+ years of data/analytics engineering experience, including at least 2 years in a senior capacity
Required Skills: PythonSQLGitSnowflakeData modelingBigQuerydbt

5-7+ years of data/analytics engineering experience, including at least 2 years in a senior capacity.
Expert proficiency with SQL and data modeling tools such as dbt, dataform, or SQLMesh.
Strong command of dimensional modeling and medallion/layered architectures.
Hands-on depth with at least one cloud data warehouse (Snowflake or BigQuery).
Experience with a semantic/metrics layer (e.g., dbt Semantic Layer/MetricFlow, Cube, LookML).
Proficiency with modern BI tools (e.g., Hex, Sigma, Omni, Tableau, Looker).
Working proficiency with Python for transformation and automation.
Strong proficiency with Git and version control practices.
Demonstrated fluency with AI-assisted development tools.
Strong communication skills and ability to partner across stakeholder groups.
Working knowledge of iterative, value-focused technical delivery.

Drive data warehouse strategy and performance, shaping modeling standards and materialization strategy.
Own Silver- and Gold-layer modeling in dbt, ensuring clean, documented, tested, and governed models.
Build and govern the semantic layer to establish a single source of truth for metric definitions.
Lead BI tooling strategy, standardization, and enablement of self-serve analytics.
Partner with Product, Engineering, and business stakeholders to translate questions into durable data models.
Troubleshoot data quality and consistency issues to drive long-term fixes.
Contribute to platform evolution by identifying opportunities to refactor or scale analytics infrastructure.

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