Staff Analytics Engineer – Accounting

Snowflake

Staff Analytics Engineer driving data infrastructure and empowering decision-making for the Accounting organization at Snowflake. Utilizing SQL, Python, and agile development models to support analytics and reporting needs.

Posted 7/28/2026full-timeMenlo Park • California • 🇺🇸 United StatesLead💰 $184,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL, Python, and Snowflake for building and maintaining data infrastructure, while ensuring data quality and governance. Capable of translating complex requirements into actionable data models and driving organizational improvements through effective communication and problem-solving.

Highest-signal resume keywords

Advanced SQL SkillsPython Data TransformationSnowflake Database ExperienceData Governance StrategiesAgile Development Model

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingData QAAutomated TestingData InfrastructureData AnalysisData AutomationMPP DatabasesData Lineage

Soft Skills

Effective CommunicationProblem SolvingAttention to DetailPrioritizationAdaptability

Tools & Technologies

SnowflakeDbtAirflowRedshiftBigQuery

Industry Keywords

Analytics EngineeringBusiness IntelligenceData GovernanceData QualityRelational Datasets

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryPythonSQL

About the role

Key responsibilities & impact

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 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

What you’ll need

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 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

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development programs