Senior Data Engineer – Finance

ŌURA

Senior Data Engineer managing financial data infrastructure at Oura. Building reliable data systems for financial reporting and analytics with cross-functional collaboration.

Posted 7/20/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $172,550 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines and models for financial datasets, ensuring data quality and compliance while collaborating with cross-functional teams. Proficient in SQL and Python, with a strong understanding of financial metrics and experience with modern data tools and platforms.

Highest-signal resume keywords

Data EngineeringSQLPythonFinancial Data SystemsAWS

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Hard Skills

Data Pipeline DevelopmentData ModelingData Quality AssuranceFinancial Metrics AnalysisAutomation of Reporting Processes

Soft Skills

CollaborationSelf-MotivationPragmatismIndependent Work Management

Tools & Technologies

NetSuiteSalesforcePigmentDatabricksSparkDbtAWS

Industry Keywords

Revenue ReportingLTV AnalysisRevOps WorkflowsComplianceAuditPrivacy Requirements

Tech Stack

Tools & technologies

AWSCloudERPPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain data pipelines and models that power Oura's Corporate Scorecard, revenue reporting, LTV analysis, and RevOps workflows.
Partner closely with Finance, Sales Operations, and Business Intelligence to understand reporting requirements and translate them into scalable data models.
Own end-to-end data quality and reliability for financial datasets — from ingestion to consumption-ready tables.
Integrate and rationalize data across finance source systems (e.g., NetSuite, Salesforce, Pigment, e-commerce platforms) into a unified, governed data layer.
Ensure financial data pipelines meet compliance, audit, and privacy requirements.
Reduce manual, spreadsheet-driven reporting processes by automating trusted, self-serve data products.

Requirements

What you’ll need

5+ years of experience in data engineering or analytics engineering in production environments.
Deep experience with financial or revenue data systems — understanding of metrics like LTV, ARR, churn, and funnel analytics.
Strong SQL and Python skills with a track record of building tested, reliable data pipelines.
Experience integrating data from ERP, CRM, or e-commerce platforms (NetSuite, Salesforce, Shopify, or similar).
Familiarity with dbt, Databricks, Spark, or modern lakehouse tools.
Experience running and monitoring production pipelines on AWS or equivalent cloud.
Ability to work collaboratively with Finance and non-technical stakeholders to define data requirements.
Self-motivated, pragmatic, and able to manage your own work independently.

Benefits

Comp & perks

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave