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HomeCompaniesKikoffSenior Data Engineer

Senior Data Engineer

Kikoff · San Francisco · Active · Greenhouse

Job facts

FieldValue
CompanyKikoff
TitleSenior Data Engineer
Normalized title-
Department / teamData
LocationSan Francisco, CA, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-02-27 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Kikoff.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Data.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyKikoff
Sourcec1e75776-0fd5-465a-81a6-188d36242c28
ATS providerGreenhouse

Description

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money. We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially. 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. 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 Base Range $226,000 — $254,000 USD 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 for more information .

Full job record

Job ID3b056c60959d49d1b8847160889694ae34688e78
Org IDd759b6bf-a9a4-4a42-b0ae-69e9d093b60f
Source IDc1e75776-0fd5-465a-81a6-188d36242c28
Board IDc1e75776-0fd5-465a-81a6-188d36242c28
Providergreenhouse
Provider Job Key4157501009
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentData
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/kikoff/jobs/4157501009
Apply URLhttps://job-boards.greenhouse.io/kikoff/jobs/4157501009
First Seen At2026-05-29 22:43:03Z
Last Seen At2026-06-23 07:37:12Z
Last Checked At2026-06-23 07:37:12Z
Last Changed At2026-05-29 22:43:03Z
Inactive At
Source Posted At2026-02-27 16:53:05Z
Source Updated At2026-05-14 19:31:11Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=kikoff/date=2026-06-23/2026-06-23T07-37-11-950Z-a313afbeecdfa2a08b466979bf0fee01471c03c0784a7ec0fdfdffce1d57bfa0.json
Event Fields
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  "last_changed_at": "2026-05-29T22:43:03.846Z",
  "active_status": "active"
}
Parsed Structured
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    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-23T07:37:12.138Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
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      "location": "San Francisco, California, United States",
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  "language": "en",
  "location": {
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  "metadata": [
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      "name": "Base Range",
      "value": {
        "unit": "USD",
        "max_value": "260000.0",
        "min_value": "160000.0"
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  "updated_at": "2026-05-14T15:31:11-04:00",
  "departments": [
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      "id": 4031268009,
      "name": "Data",
      "child_ids": [],
      "parent_id": null
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  ],
  "company_name": "Kikoff",
  "requisition_id": 4093513009,
  "first_published": "2026-02-27T11:53:05-05:00",
  "application_deadline": null
}
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