Revenue Analytics Data Engineer II — Remote (Spain)

Remote; San Francisco (CA); Remote; USD 70,000 - 111,000; Full time

Benefits offered by this job

100% subsidized medical coverage, and

Equity rewards

Visa sponsorship (Spain)

Wellness days

Flexible Spending Wallets for tech, 
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Job summary

Affirm is redefining credit with a global, remote-first approach. We are seeking a curious analytics engineer to join Revenue Analytics, owning end-to-end data products, modeling, dashboards, and automation to empower day-to-day decision-making.

You will build scalable data infrastructure, help strengthen semantic layers, and collaborate with engineering and business stakeholders to translate requirements into durable data solutions leveraging SQL, dbt, and BI tools.

Qualifications

• 3+ years of work experience in an analytics engineering or business intelligence role.
• Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization.
• Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake).
• Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality.
• Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability.
• Familiarity with Salesforce and experience supporting commercial areas of the business.
• Ability to identify user needs and translate them into robust, scalable data products.
• Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution.
• Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Responsibilities

• Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts.
• Build and maintain critical reporting data models that power external merchant reporting.
• Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions.
• Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products.
• Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows).
• Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

Skills

SQL

dbt

Python

Data modeling

Data visualization

Tools

Sigma

Looker

Tableau

Databricks

Snowflake

Job description

Affirm is redefining credit with a global, remote-first approach. We are seeking a curious analytics engineer to join Revenue Analytics, owning end-to-end data products, modeling, dashboards, and automation to empower day-to-day decision-making.

You will build scalable data infrastructure, help strengthen semantic layers, and collaborate with engineering and business stakeholders to translate requirements into durable data solutions leveraging SQL, dbt, and BI tools.