Senior Analytics Engineer, Accounting Data Infrastructure

Snowflake; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Snowflake is seeking a Staff Analytics Engineer to join our Analytics Engineering team in Menlo Park. You will drive value by developing and maintaining the data infrastructure that fuels reporting and analysis for the Accounting organization.

You will work with SQL, Python, Snowflake, dbt, Airflow in an agile environment to build scalable data models, perform QA, and ensure single sources of truth. This role requires in-person attendance at least 3 days per week and offers opportunities to

Qualifications

• 8+ years of experience as an analytics, data, or BI engineer.
• Advanced SQL skills for large-scale relational datasets.
• Experience with Python to parse, structure, and transform data.
• Experience with MPP databases such as Snowflake, Redshift, BigQuery.
• Ability to communicate effectively with a wide range of stakeholders.
• Ability to prioritize and execute in a high-pressure, changing environment.
• Detail-focused with a drive for data quality and process improvement.
• Bias for action and a structured approach to complex problems.

Responsibilities

• Build and maintain data infrastructure for reporting and analysis.
• Perform data QA and automated testing for data models.
• Translate reporting requirements into data model specifications.
• Source data from key business systems and Snowflake databases.
• Architect flexible, performant data models for many use cases.
• Contribute to data governance, permissions, and data lineage strategies.
• Coordinate with Accounting BI and technical leads for requirements and QA.
• Create user-friendly documentation for data models and metrics.
• Identify weaknesses in data and processes and drive improvements.

Skills

Advanced SQL

Python

Data modeling

Stakeholder comms

Analytical thinking

Attention to detail

Education

Bachelor's degree

Tools

Snowflake

dbt

Airflow

Job description

Snowflake is seeking a Staff Analytics Engineer to join our Analytics Engineering team in Menlo Park. You will drive value by developing and maintaining the data infrastructure that fuels reporting and analysis for the Accounting organization.

You will work with SQL, Python, Snowflake, dbt, Airflow in an agile environment to build scalable data models, perform QA, and ensure single sources of truth. This role requires in-person attendance at least 3 days per week and offers opportunities to