Kikoff
Join to apply for the
Data Engineer
role at
Kikoff Join to apply for the
Data Engineer
role at
Kikoff Get AI-powered advice on this job and more exclusive features. Responsibilities
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
Responsibilities
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
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 Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Kikoff by 2x Sign in to set job alerts for “Data Engineer” roles.
San Francisco, CA $126,100 - $186,800 4 days ago San Francisco, CA $150,000 - $190,000 5 days ago San Francisco, CA $160,000 - $180,000 2 days ago Foster City, CA $192,000.00 - $260,000.00 2 weeks ago San Francisco, CA $182,000.00 - $232,000.00 2 weeks ago San Francisco, CA $94,400.00 - $118,000.00 1 day ago San Mateo, CA $120,000.00 - $160,000.00 3 days ago San Francisco, CA $130,000.00 - $150,000.00 2 weeks ago San Francisco, CA $114,000.00 - $171,000.00 2 weeks ago United States $145,000.00 - $204,000.00 2 weeks ago San Francisco, CA $180,000.00 - $230,000.00 1 month ago San Francisco, CA $160,000.00 - $190,000.00 3 weeks ago San Francisco, CA $130,000.00 - $238,000.00 2 weeks ago San Francisco, CA $144,768 - $209,109.33 4 days ago San Francisco, CA $177,500 - $210,000 1 month ago San Francisco, CA $135,000 - $170,000 2 weeks ago Software Engineer - Data Acquisition / Web Crawling
San Francisco, CA $120,000 - $150,000 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Data Engineer
role at
Kikoff Join to apply for the
Data Engineer
role at
Kikoff Get AI-powered advice on this job and more exclusive features. Responsibilities
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
Responsibilities
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
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 Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Kikoff by 2x Sign in to set job alerts for “Data Engineer” roles.
San Francisco, CA $126,100 - $186,800 4 days ago San Francisco, CA $150,000 - $190,000 5 days ago San Francisco, CA $160,000 - $180,000 2 days ago Foster City, CA $192,000.00 - $260,000.00 2 weeks ago San Francisco, CA $182,000.00 - $232,000.00 2 weeks ago San Francisco, CA $94,400.00 - $118,000.00 1 day ago San Mateo, CA $120,000.00 - $160,000.00 3 days ago San Francisco, CA $130,000.00 - $150,000.00 2 weeks ago San Francisco, CA $114,000.00 - $171,000.00 2 weeks ago United States $145,000.00 - $204,000.00 2 weeks ago San Francisco, CA $180,000.00 - $230,000.00 1 month ago San Francisco, CA $160,000.00 - $190,000.00 3 weeks ago San Francisco, CA $130,000.00 - $238,000.00 2 weeks ago San Francisco, CA $144,768 - $209,109.33 4 days ago San Francisco, CA $177,500 - $210,000 1 month ago San Francisco, CA $135,000 - $170,000 2 weeks ago Software Engineer - Data Acquisition / Web Crawling
San Francisco, CA $120,000 - $150,000 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr