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Home›Jobs›Kikoff›Senior Data Engineer
Kikoff

About Kikoff

Empowering credit building for a brighter financial future

🏢 Finance👥 101-200 employees📅 Founded 2019📍 Financial District, San Francisco, CA💰 $42.5m⭐ 3.66
B2CCredit ScoringPersonal financeFinancial ServicesSaaS

Key Highlights

  • Headquartered in San Francisco, CA
  • $42.5 million raised in Series A funding
  • Targeting Millennials and Gen Z for credit building
  • Signature product influences key credit score factors

Kikoff is a personal finance and credit building platform headquartered in the Financial District of San Francisco, CA. With $42.5 million in Series A funding, Kikoff aims to help Millennials and Gen Z build their credit scores through its signature product, which positively influences payment histo...

🎁 Benefits

Kikoff provides comprehensive medical, dental, and vision coverage, fully paid by the company. Employees enjoy stock options and a generous unlimited ...

🌟 Culture

Kikoff's culture is centered around empowering individuals to build their financial health through accessible credit solutions. The company values inn...

🌐 Website💼 LinkedInAll 41 jobs →
Kikoff

Senior Data Engineer

Kikoff • San Francisco Office

Posted 6 months ago🏛️ On-SiteMid-LevelData engineer📍 San francisco
Apply Now →

Job Description

We are looking for a Data Engineer or Analytics Engineer to join our Data team. You will collaborate with the data scientist and engineers to design, build, and scale high-leverage data models, foundational datasets and scalable infrastructure that enables analytics, modeling, and experimentation. Your responsibilities includes:

  • Build and optimize high-quality ergonomic foundational datasets and the relevant data pipelines

  • Establish data quality management processes at scale

  • Build analytical dashboards

Qualifications

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

  • A minimum of 2 years of work experience in data engineering

  • Hands-on experience in building robust data models and data pipelines

  • A self-starter with a bias for action and excellent communication skills, with ability to explain complex technical concepts in easy-to-understand ways

  • Expert knowledge of SQL, and popular data engineering tools such as snowflake, dbt, Dagster etc

  • Experience working with DS team

  • A humble collaborative can-do attitude and natural curiosity


Kikoff: A FinTech Unicorn Powering Financial Progress with AI
At Kikoff, our mission is to provide radically affordable financial tools to help consumers achieve financial security. We're a profitable, high growth FinTech unicorn serving millions of people, many of whom are building credit or navigating life paycheck to paycheck. With innovative technology and AI, we simplify credit building, reduce debt, and expand access to financial opportunities to those who need them the most. Founded in 2019, Kikoff is headquartered in San Francisco and backed by top-tier VC investors and NBA star Stephen Curry.

Why Kikoff:

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.

Competitive pay based on experience

🏥 Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!

📈 Stock Options

🏝 Flexible vacation policy to help you recharge

💰 US salary range for this full-time position consists of base + equity + benefits

Location: San Francisco, CA

Visa sponsorship available: Kikoff is willing to provide sponsorship for H1-B visas and U.S. green cards for exceptional talent.

Equal Employment Opportunity Statement

Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Please reference the following information for more information:

https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdfhttps://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf

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