# Staff Analytics Engineer

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Data Engineering
**Salary:** $184k – $242k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, Snowflake, dbt, Airflow, Redshift, BigQuery, streamlit, CI/CD, ERP, financial planning
**Posted:** 2026-07-28

> Staff Analytics Engineer building and maintaining data infrastructure, models, and pipelines to support reporting, analysis, and automation for Snowflake's Accounting organization. Requires 8+ years experience, advanced SQL, Python, and MPP databases like Snowflake.

## Job Description

## Responsibilities
- Use SQL, Python, Snowflake, dbt, Airflow, and other systems in an agile development model to build and maintain data infrastructure for reporting, analysis, and automation.
- Perform data QA and develop automated testing procedures for Snowflake data models.
- Translate reporting, analysis, and automation requirements into data model requirements and specifications.
- Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases.
- Architect flexible, performant data models that support a wide range of use cases while driving the organization towards single sources of truth.
- Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions.
- Meet regularly with Accounting BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA.
- Build and maintain user-friendly documentation for data models and key metrics.
- Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team.

## Requirements
- 8+ years of experience working as an analytics, data, or BI engineer.
- Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets.
- Experience using Python to parse, structure, and transform data.
- Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies.
- Ability to communicate effectively and efficiently with a wide range of stakeholders.
- Ability to prioritize and execute tasks in a high-pressure, constantly changing environment.
- Ability to think creatively to solve problems.
- Impulse for introducing structure and simplicity into vague, complex problems.
- Obsession for detail and quality.
- Ability to identify weaknesses in data and process, and willingness to drive improvement.
- Bias for action.

## Nice-to-Haves
- Experience with ERP and Financial Planning tools.
- Experience using Python to parse, structure, and transform data (bonus for Streamlit specifically).
- Experience working with CI/CD pipelines.
- Experience leading or working within a scrum, sprint, or other agile framework.
- Past experience working in an accounting role, or directly supporting analysis and reporting for accounting stakeholders.

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