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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** Snowflake Inc. - **Location:** Menlo Park, CA, United States - **Experience:** Experienced - **Salary:** $132,000.0 - $173,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, BigQuery, Business Systems, Software as a Service, Databases, Data Governance, Data Infrastructure, Python (Programming Language), Parsing, SQL Databases, Google Cloud, Cloud Platform System, Sql Optimization, Snowflake, Data Lineage, Amazon Redshift - **Published:** July 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17450962?backUrl=%2Fcareer%2F17450962%2FAnalytics-Engineer-California-Menlo-Park ## About the Role * 3+ 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 in an effective and efficient manner while working 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 * An impulse for introducing structure and simplicity into vague, complex problems * An obsession for detail and quality * An ability to identify weaknesses in data and process, and a willingness to drive improvement * A bias for action Preferred skills: * Experience with ERP and Financial Planning tools * Experience using Python to parse, structure, and transform data * Experience working with CI/CD pipelines * Experience leading or working within a scrum, sprint, or other agile framework * Past experience supporting product or product finance stakeholders * Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports * Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework) * Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud) ## Description We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake's success as a company. As an Analytics Engineer, you will be responsible for the following: * Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation * Perform data QA and develop automated testing procedures for use with 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 will 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 Finance 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Making Data Warehouses fast. 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