---
title: 'Senior Data Engineer at Windfall'
canonical: 'https://feeny.ai/job/senior-data-engineer-windfall-san-francisco-3sn9vy4xsxfm'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Data Engineer at Windfall

- **Company:** Windfall
- **Location:** San Francisco, CA
- **Compensation:** $170k–$220k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-02
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/windfalldata/4b214e29-a517-4e72-bfd4-9bd0ccfc38fb

## Job description

Windfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall, and you will work closely with our product, data science, and other engineering teams. You will personally design and build the pipelines for massive datasets, taking them all the way from inception to exploration to production and customer use.

We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.

Responsibilities:

- Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset
- Work closely with our data science team to run ML models on top of billions of data points
- Build supporting data services and applications to orchestrate and monitor our data systems

Some technology you will use:

- Cloud platform - GCP
- Programming languages - Java, Python, and Kotlin
- Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra
- Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark
- Orchestration - Airflow

Requirements:

- 4-8 years of professional data engineering experience
- Significant experience working with Apache Beam/Spark/Flink or MapReduce
- Strong Object-oriented programming ability in a JVM language
- Expert knowledge of distributed data processing
- Familiarity with different datastores, their differences, and appropriate usages
- Experience at a sub-200 person company
- You communicate as well as you code
- You can simplify complex problems into simple solutions
- You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
- You are comfortable making trade-offs between quality, complexity, and speed-of-delivery

Preferred Qualifications:

- Proven experience taking a large project from ideation to production
- Experience leading greenfield projects
- Working knowledge of cloud-native data engineering infrastructure

Additional Information:

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California and Colorado. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our [careers](https://www.windfall.com/careers) site

Compensation range:

## About Windfall

Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.

We comply with CCPA. For more information on how we comply, review our privacy notice.

Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.

## About Windfall

## Company Overview
- **One-liner**: Windfall provides a people intelligence and AI platform that helps go-to-market teams personalize workflows with accurate wealth and career data.
- **Entity Type**: Private (Series A / later-stage; $65M raised from Morgan Stanley Expansion Capital in 2025)
- **Headquarters**: San Francisco, California, USA (with offices in Denver, Colorado and Lehi, Utah)
- **Founded**: 2016
- **Founders**: Arup Banerjee (CEO) and Dan Stevens (COO)

## Core Business
- **Primary Industry**: People intelligence, data analytics, AI-powered go-to-market solutions
- **Target Customers**: B2B – sales, marketing, and account management teams across commercial and nonprofit organizations; 1,500+ customers
- **Mission**: “Change how organizations perceive and use people data.” Vision: democratize access, workflows, and insights on people.

## Products & Services
- **Wealth Screening**: Identifies top prospects and customers by layering accurate wealth and financial data onto CRM/database records.
- **Career Intelligence**: Provides up-to-date career data (job changes, titles, company moves) to keep prospect profiles current.
- **AI Solutions (Predictive & Generative)**: Segmentation, propensity modeling, and personalized outreach recommendations to drive higher conversion rates.
- **Reporting & Analytics**: Cross-departmental reporting tools that measure impact across sales, marketing, and account management.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total capital raised – $100M+ (includes $65M from Morgan Stanley Expansion Capital in 2025, earlier rounds from Bullpen Capital and En Pointe Capital)
- **Notable Investors/Partners**: Morgan Stanley Expansion Capital (lead investor in latest round), Bullpen Capital (seed), En Pointe Capital (Series A)
- **Growth Signals**: 1,500+ customers (up from 800+ in 2023); 100+ team members; three offices (San Francisco, Denver, Lehi); 500% growth in first three years before seed round

## Competitive Advantages
- **Data Accuracy**: Founders built the company to solve pervasive inaccuracies in legacy consumer financial data, using more frequent updates and better sources.
- **AI & ML DNA**: Machine learning and propensity modeling have been core since day one, not an afterthought.
- **Purpose-Built Solutions**: Dedicated solutions for nonprofits, commercial teams, and specific industries, enabling quick time-to-value.
- **Workflow Integration**: AI insights are activated directly into existing go-to-market workflows, not just delivered as reports.

## Strategic Focus
- **Data Expansion**: Continuing to expand the dataset beyond affluent individuals to cover all people in the US.
- **AI Investment**: Heavy investment in predictive and generative AI to drive personalization at scale.
- **Market Reach**: Growing across commercial, nonprofit, and new verticals; recent $65M raise earmarked for growth and AI investments.
- **Product Development**: Expanding SaaS application capabilities and deepening CRM integrations.

## Why Work Here
- **Culture**: High-energy, customer-obsessed environment guided by core values (be an excellent communicator, operate with transparency, provide leverage not optimization, win when customers win, act with integrity and trust).
- **Remote/Hybrid/Office**: Offices in San Francisco, Denver, and Lehi. The company holds bi-weekly all-hands, weekly team kick-offs, and regular events (annual kick-off, sales kick-off, team building). Policy is likely hybrid or in-office, though not explicitly stated as fully remote.
- **Perks & Benefits**:
  - **Financial**: Competitive compensation, performance bonuses, stock options for all employees.
  - **Health**: Medical, dental, and vision insurance; long-term disability and life insurance.
  - **Family**: Generous paid parental leave, paid sick and volunteer days, floating holidays.
  - **Workplace**: Commuter benefits, pet-friendly office, fully-stocked kitchen.
  - **Development**: Women in Tech mentorship program, professional development opportunities.
- **Engineering Culture**: Values data science and AI innovation; engineering roles include backend (varying levels) and product management. Team size is ~100+ with room to scale.

## Sources
1. [windfall.com/careers](https://www.windfall.com/careers)
2. [windfall.com](https://www.windfall.com/)
3. [windfall.com/company/about-us](https://www.windfall.com/company/about-us)
4. [builtin.com/company/windfall](https://builtin.com/company/windfall)
5. [windfall.com/company/leadership](https://www.windfall.com/company/leadership)

## Other roles at Windfall

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- [Senior Product Manager - Data](https://feeny.ai/job/senior-product-manager-data-windfall-san-francisco-2qffd9fckag2) — San Francisco, CA
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