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Flexible Python Finance Jobs in California (NOW HIRING)

Senior Data Engineer - Finance

San Francisco, CA · On-site

$124K - $169K/yr

... Python skills with a track record of building tested, reliable data pipelines. - Experience ... of flexible wellness time off * Paid sick leave and parental leave Oura takes a market-based ...

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$124K - $169K/yr

... Python skills with a track record of building tested, reliable data pipelines. - Experience ... of flexible wellness time off * Paid sick leave and parental leave Oura takes a market-based ...

Today we're trusted by over 20% of financial institutions in America - including FIS, Rho, Socure ... Flexible PTO so you can recharge without red tape * In-person energy: We're based in SF and meet in ...

Today we're trusted by over 20% of financial institutions in America - including FIS, Rho, Socure ... Flexible PTO so you can recharge without red tape * In-person energy: We're based in SF and meet in ...

Today we're trusted by over 20% of financial institutions in America - including FIS, Rho, Socure ... Flexible PTO so you can recharge without red tape * In-person energy: We're based in SF and meet in ...

Showing results 21-40

Flexible Python Finance information

What is the difference between Flexible Python Finance vs Data Analyst?

AspectFlexible Python FinanceData Analyst
Required SkillsPython, finance concepts, data analysisExcel, SQL, data visualization
Work EnvironmentFinance firms, trading floors, fintechCorporate, consulting, market research
CertificationsPython certifications, finance coursesNone mandatory, often data analysis certifications

Flexible Python Finance focuses on applying Python skills to finance-related tasks, while Data Analysts primarily analyze data across various industries. Both roles require data handling skills, but Flexible Python Finance emphasizes finance-specific knowledge and programming expertise.

What are popular job titles related to Flexible Python Finance jobs in California?

For Flexible Python Finance jobs in California, the most frequently searched job titles are:

What job categories do people searching Flexible Python Finance jobs in California look for?

The top searched job categories for Flexible Python Finance jobs in California are:

What cities in California are hiring for Flexible Python Finance jobs?

Cities in California with the most Flexible Python Finance job openings:

Infographic showing various Flexible Python Finance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Data Engineer - Finance

Oura

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 28 days ago


Job description

We are looking for a Data Engineer - Finance to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data infrastructure that powers Oura's financial data - including revenue, LTV, Corporate Scorecard, and RevOps - ensuring clean, reliable, and timely data for stakeholders across Finance, Sales, and Leadership. While Finance data engineering is your core domain, we expect and actively support our engineers growing into adjacent areas - such as membership, supply chain, or broader platform work - as business needs and individual interests evolve.

This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.

What you will do:

Primary Focus - Finance Data Engineering

- 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.

Cross-functional Growth Areas (expected over time)

- Contribute to broader lakehouse architecture work including Apache Iceberg, Databricks, and dbt.

- Expand into adjacent domains such as Membership, RevOps, or Supply Chain data as the team grows.

- Participate in Data Mesh domain ownership design for the Finance domain.

We would love to have you on our team if you have:

- 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.

What Makes You Stand Out

- Experience building or owning a Corporate Scorecard or executive-facing metrics layer.

- Familiarity with Pigment, Looker, or similar financial planning/BI tools.

- Experience with Data Mesh and domain-oriented data ownership.

- Exposure to SDM (Supply & Demand Management) or inventory data.

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

  • 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

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

  • Region 1 $172,550 - $203,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)