Senior Data Engineer

Confirmed live in the last 24 hours

51-200 employees

Accessible, affordable credit-building and financial wellness platform

Company Overview

Kikoff, a personal finance platform, stands out for its commitment to making credit-building accessible and affordable, with a $0 fee, 0% interest, and no credit pull approach. The company's rapid growth and top-rated mobile app demonstrate its competitive edge, while its successful $42 million funding round underscores industry confidence in its mission. Testimonials from users highlight Kikoff's effectiveness in improving credit scores in a short period, indicating the company's tangible impact on financial wellness.

Fintech

Company Stage

Series B

Total Funding

$54.5M

Founded

2019

Headquarters

San Francisco, California

Growth & Insights

Headcount

6 month growth

↑ 60%

1 year growth

↑ 70%

2 year growth

↑ 215%

Locations

San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

Hadoop

Marketing

SQL

Python

NoSQL

CategoriesNew

Data & Analytics

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
At least 5 years of experience in data engineering
Strong experience with data pipeline development and data quality control
Hands-on experience with data infrastructure for machine learning models
Knowledge of data storage and retrieval systems such as Hadoop, Spark, and NoSQL databases
Proficiency in programming languages such as Python and SQL
Strong problem-solving and analytical skillsExcellent communication and collaboration skills

Responsibilities

Design and build data pipelines to collect, process, and store large amounts of data from multiple sources
Implement data quality control processes to ensure accuracy and completeness of data
Develop and maintain data infrastructure to support machine learning models
Collaborate with data scientists and machine learning engineers to understand data requirements for models
Work with business teams to understand marketing data and business requirements
Monitor and maintain the performance of data pipelines and infrastructure
Participate in the design and implementation of data storage and retrieval systems
Stay up-to-date with emerging technologies and tools in the data engineering field

Desired Qualifications

Understanding of marketing data and business sense is a plus

We are looking for an experienced Data Engineer to join our growing team. The ideal candidate will have a strong background in data pipeline development, data quality control, and data infrastructure for machine learning models. Additionally, the candidate should have a strong understanding of marketing data and business sense. In this role, you will be responsible for designing, building, and maintaining data pipelines, ensuring data quality and accuracy, and supporting machine learning models.

Responsibilities

Design and build data pipelines to collect, process, and store large amounts of data from multiple sources
Implement data quality control processes to ensure accuracy and completeness of data
Develop and maintain data infrastructure to support machine learning models
Collaborate with data scientists and machine learning engineers to understand data requirements for models
Work with business teams to understand marketing data and business requirements
Monitor and maintain the performance of data pipelines and infrastructure
Participate in the design and implementation of data storage and retrieval systems
Stay up-to-date with emerging technologies and tools in the data engineering field

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
At least 5 years of experience in data engineering
Strong experience with data pipeline development and data quality control
Hands-on experience with data infrastructure for machine learning models
Knowledge of data storage and retrieval systems such as Hadoop, Spark, and NoSQL databases
Proficiency in programming languages such as Python and SQL
Understanding of marketing data and business sense is a plus
Strong problem-solving and analytical skillsExcellent communication and collaboration skills

What we offer:

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We are backed by some of Silicon Valley’s top VCs, including GGV capital, Lightspeed Ventures, Female Founders Fund, and others. 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.

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

Our salary ranges are determined by role and experience:

140k - 190k base + equity

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

🤑 Stock options

📈 Access to 401k plan

🏝 In addition to 10 annual company holidays, we offer Summer Fridays

✈️ Generous unlimited vacation policy to help you recharge

Additionally, we host regular team building events to help you get to know the Kikoff team! Our last virtual cooking event had everyone’s mouth on fire, but cooled down by home-mixed cocktails.