Data Engineer, Windfall
$170-220k
People intelligence and AI company
Posted today
People intelligence and AI company
21-100 employees
Posted today
$170-220k
21-100 employees
Company mission
To change how organizations perceive and use people data.
Role
Who you are
- 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
- Experience leading greenfield projects
Desirable
- Proven experience taking a large project from ideation to production
- Working knowledge of cloud-native data engineering infrastructure
What the job involves
- 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
- 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
Our take
Consumer financial data is notoriously inaccurate and many data brokers depend on census data, surveys, and zip codes, which are infrequently updated and can lead to false generalizations. This dependency on inaccurate information leads to costly financial mistakes for businesses.
With a focus on the affluent, Windfall delivers a precise net worth figure for individual households which is updated on a weekly basis. The platform collates accurate, up-to-date information from public and private domain records through partnerships with data vendors. It syncs with commonly used tools such as Salesforce, HubSpot and Shopify to power data-driven outreach to customers. And it's customer base includes hundreds of nonprofits as well as businesses across a wide range of industries looking to better target their own sales and marketing efforts.
Having raised significant funding, Windfall has gone on to enjoy impressive year-on-year growth. With this success, it intends to double down by expanding its sales and marketing reach and further developing its product, including its application to give go-to-market teams direct access to its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2025
$65m
SERIES B
Mar 2021
$21m
SERIES A
Total funding: $95m
Company benefits
- Medical, dental, and vision
- Retirement benefits
- Commuter benefits
- Long-term disability and life
- Paid time off
- Paid sick and volunteer days
- Paid parental leave
- Floating holidays
- Stock options
- Fully-stocked kitchen
- Pet-friendly office
- Remote-enabled
Company HQ
Jackson Square, San Francisco, CA
Leadership
Arup Banerjee
(Co-Founder & CEO)Arup began his career in investment banking and growth equity, before switching to product management after completing an MBA at Haas School of Business.
Daniel Stevens
(Co-Founder & COO)Daniel studied Economics, Spanish, Markets & Management at Duke University. He has a background in investment and advisory services banking. And was previously the Head of Business Operations at Radius Intelligence for 1 year.
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