Oura

1 day ago

Senior Data Engineer - Finance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Own Oura’s finance data infrastructure by designing and maintaining pipelines and models for revenue reporting, LTV analysis, corporate scorecards, and RevOps workflows. Partner with Finance, Sales Operations, and Business Intelligence to translate reporting needs into scalable data products, ensuring end-to-end data quality, reliability, and compliance. Help modernize the stack with lakehouse tools (Iceberg, Databricks, dbt) and expand into adjacent domains over time.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Finance & Accounting

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain data pipelines and models for corporate scorecard, revenue reporting, LTV analysis, and RevOps workflows.
•Partner with Finance, Sales Operations, and Business Intelligence to translate reporting requirements 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 and reduce manual spreadsheet reporting via automated self-serve data products.

Pay and Benefits

Salary: USD 172,550 - 203,000 annually

Perks:Health InsuranceDentalVisionEquityPaid LeaveParental Leave

Key Requirements

•5+ years of experience in data engineering or analytics engineering in production environments.
•Deep experience with financial or revenue data systems, including 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, plus experience running and monitoring production pipelines on AWS or equivalent cloud.

Experience:5+ yearsData engineeringAnalytics engineeringFinance dataRevenue dataLakehouseERP/CRM integration

Skills:CollaborationStakeholder managementSelf-motivationPragmatismIndependent execution

Languages:English

Tech Stack:SQLPythonNetSuiteSalesforcePigmentShopifyApache IcebergDatabricksDbtSparkAWSLookerERPCRME-commerceData pipelinesLakehouseData MeshRevOps

Company Brief

Oura

Designs and sells the Oura Ring, a wearable device that tracks sleep, activity, and physiological signals to provide personalized health, recovery, and readiness insights via a companion app and analytics platform.

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Oulu, Finland

Founded: 2013

Website LinkedIn

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Oura

1 day ago

Senior Data Engineer - Finance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Finance & Accounting

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain data pipelines and models for corporate scorecard, revenue reporting, LTV analysis, and RevOps workflows.
•Partner with Finance, Sales Operations, and Business Intelligence to translate reporting requirements 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 and reduce manual spreadsheet reporting via automated self-serve data products.

Pay and Benefits

Salary: USD 172,550 - 203,000 annually

Perks:Health InsuranceDentalVisionEquityPaid LeaveParental Leave

Key Requirements

•5+ years of experience in data engineering or analytics engineering in production environments.
•Deep experience with financial or revenue data systems, including 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, plus experience running and monitoring production pipelines on AWS or equivalent cloud.

Experience:5+ yearsData engineeringAnalytics engineeringFinance dataRevenue dataLakehouseERP/CRM integration

Skills:CollaborationStakeholder managementSelf-motivationPragmatismIndependent execution

Languages:English

Tech Stack:SQLPythonNetSuiteSalesforcePigmentShopifyApache IcebergDatabricksDbtSparkAWSLookerERPCRME-commerceData pipelinesLakehouseData MeshRevOps

Company Brief

Oura

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Oulu, Finland

Founded: 2013

Website LinkedIn