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HomeCompaniesJordan Park GroupAssociate, Software Engineer – Data Platform

Associate, Software Engineer – Data Platform

Jordan Park Group · San Francisco, California, United States · Deleted · Greenhouse

Job facts

FieldValue
CompanyJordan Park Group
TitleAssociate, Software Engineer – Data Platform
Normalized title-
Department / teamTechnology
LocationSan Francisco, CA, United States
Work model-
Employment type-
Salary-
Statusdeleted
ATS providerGreenhouse
Posted / first seen2026-02-27 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-03

Related slices

PageWhat it containsOpen
Company jobsActive postings from Jordan Park Group.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 Technology.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

CompanyJordan Park Group
Source1189170d-dbb6-41e9-829e-02a0266c9ff6
ATS providerGreenhouse

Description

Jordan Park provides investment management and financial advice to a distinct community of individuals, families, and institutions. Our clients have made extraordinary contributions to business, philanthropy, government, and society. Our team is composed of empathetic problem solvers with depth and diversity of experience. We embrace complexity and navigate challenges to empower clients to achieve their optimal outcomes. Our mission is to enhance lives and legacies. Associate, Software Engineer – Data Platform San Francisco, California The Opportunity Jordan Park is seeking a Technology & Data Engineering Associate to advance our data platform and data quality initiatives. This role operates at the intersection of data engineering, analytics, data quality management, and AI enablement. The Associate will design, build, and maintain production-grade data systems while partnering directly with executives, investment teams, operations, and client service professionals to drive measurable business outcomes. This is a hands-on technical role with meaningful ownership and visibility. Your Role Data Platform Design, build, and maintain production-grade SQL data pipelines (e.g., dbt + Snowflake + Python) Develop and manage orchestration workflows (Airflow or equivalent) Create data ingestion processes and API integrations Monitor pipeline reliability and performance; proactively resolve issues Data Quality & Controls Develop deep expertise in firm data, systems, and processes Design reconciliation frameworks across systems and automate data validation/exception reporting Perform detailed variance analysis and root cause investigations Partner with operations and finance teams to ensure reporting integrity Analytics & Business Intelligence Architect and maintain Tableau dashboards used across the firm Train and support internal stakeholders on self-service analytics Python Development & Automation Develop Python-based tools for API integrations, data transformations, ad-hoc in-house applications & tooling Build reusable modules and maintain code standards Create automation solutions that reduce manual operational effort Projects & Communication Work closely with the Chief Technology Officer (CTO) to deliver clear executive summaries of data findings, operational trends, etc. Document project discovery and project management artifacts Translate technical work into business impact Present findings to senior leadership Qualifications Required: Bachelors degree with 3–5 years of experience in Data Engineering, Analytics, Business Intelligence or related technical role Advanced SQL proficiency (production-level experience) Experience with dbt and Snowflake (or similar modern data stack) Strong Python skills for data engineering and automation Experience with Tableau or similar BI platform Strong written and verbal communication skills A positive, helpful and can-do attitude Preferred: Experience in wealth management, asset management, fintech, or financial services Familiarity with Salesforce reporting and CRM data models Experience building AI workflows or internal GPT tools Experience with cloud infrastructure (AWS preferred) Compensation & Benefits Compensation at Jordan Park includes a base salary, discretionary year-end bonus, benefits and other perks.  We apply a total reward philosophy when determining compensation terms. The expected base salary for this role in San Francisco, California will range from $115,000 to $150,000 per year commensurate with experience, job-related skills, relevant education, licenses and certifications, and other business and organizational needs. Our benefits package includes: Medical, dental & vision insurance – 100% of premium covered for employees 401k participation with employer contribution Generous paid time off Commuter benefits program (pre-paid tax dollars towards your commute) Fitness Reimbursement Annual Professional Development Stipend We are empathetic problem solvers and subject matter experts, committed to serving clients at the highest level of trust and partnership. Our hallmarks of responsiveness, availability, dependability, and competency are our highest priorities. Jordan Park is always seeking great talent. We are proud to be an equal opportunity employer, and we consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We comply with the San Francisco Fair Chance Ordinance and will consider for employment qualified applicants with arrest and conviction records. For information about our privacy practices, including disclosures for California residents, please see our Privacy Notice Jordan Park is an SEC-registered investment adviser (RIA).

Full job record

Job ID612f4ef419ec7089d434d1197587288dceb9e77f
Org ID7b6a5615-e278-48b1-bd40-d424d9d88270
Source ID1189170d-dbb6-41e9-829e-02a0266c9ff6
Board ID1189170d-dbb6-41e9-829e-02a0266c9ff6
Providergreenhouse
Provider Job Key5813900004
TitleAssociate, Software Engineer – Data Platform
Normalized Title
Statusdeleted
Activeno
Location TextSan Francisco, California, United States
DepartmentTechnology
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/jordanparkgroup/jobs/5813900004
Apply URLhttps://job-boards.greenhouse.io/jordanparkgroup/jobs/5813900004
First Seen At2026-05-29 22:56:33Z
Last Seen At2026-06-03 10:39:55Z
Last Checked At2026-06-06 07:31:53Z
Last Changed At2026-06-06 07:31:53Z
Inactive At2026-06-06 07:31:53Z
Source Posted At2026-02-27 20:20:24Z
Source Updated At2026-05-04 20:00:17Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=jordanparkgroup/date=2026-06-03/2026-06-03T10-39-55-504Z-cdcb8f0571baffb99b2af7f9e37bf969f032668c7c18cc4206f50cea94acdcf1.json
Event Fields
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  "last_changed_at": "2026-06-06T07:31:53.227Z",
  "active_status": "deleted"
}
Parsed Structured
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  "salary_max": null,
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  "launch_scope": {
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    "location": {
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      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
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    "countries": [
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  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
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      "id": 4026949004,
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      "location": "San Francisco, California, United States",
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  "language": "en",
  "location": {
    "name": "San Francisco, California, United States"
  },
  "metadata": [],
  "updated_at": "2026-05-04T16:00:17-04:00",
  "departments": [
    {
      "id": 4045872004,
      "name": "Technology",
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    }
  ],
  "company_name": "Jordan Park Group",
  "requisition_id": 5057134004,
  "first_published": "2026-02-27T15:20:24-05:00",
  "application_deadline": null
}
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