bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesUncountableScientific Data Engineer

Scientific Data Engineer

Uncountable · San Francisco, New York · Active · Ashby

Job facts

FieldValue
CompanyUncountable
TitleScientific Data Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, NY, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Uncountable.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.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

CompanyUncountable
Source947ed244-7e52-4b1b-a403-9a339ec13a6c
ATS providerAshby

Description

Thank you for your interest in Uncountable Engineering!   ‍Uncountable is seeking recent graduates interested in a career in data engineering to help manage customers datasets. Our goal is to revolutionize industrial research and development. We’re looking for motivated software engineers who can help to build out tools that will accelerate the development of new chemicals and materials.   Your primary responsibility will be to structure and ingest customer data for the Uncountable Web Platform where scientists enter and analyze their experiments. In this role you will (1) manipulate, transform and upload R&D data by writing Python scripts (2) setup ETL pipelines between Uncountable and other data warehouses used by our customers (3) provide new solutions for users to bring in and export their data. This position demands a creative and analytical thinker with cross-functional communication skills, and the ability to analyze large datasets and identify the steps needed to clean, process and upload the data into our platform.     Requirements Computer science, data analysis and/or data engineering coursework Interest in a software engineering career and technology startups Affinity and familiarity working with data in Excel Scripting or coding experience in Python to efficiently manipulate large volumes of data   Preferred Qualifications Knowledge of SQL, experience writing queries and working with databases   Benefits Competitive Salary and Equity (ISO Grant) Health and Dental Insurance 401K with Employer Contribution 17 days PTO annually What's next? Learn more about Interviewing at Uncountable   Learn more about our engineering team: Check out our blog

Full job record

Job IDf1beafe1d01d2948add8ce09a647b276b864f983
Org ID5c17763f-8486-4189-b2bf-bc697289b0c2
Source ID947ed244-7e52-4b1b-a403-9a339ec13a6c
Board ID947ed244-7e52-4b1b-a403-9a339ec13a6c
Providerashby
Provider Job Key48cbdfbc-c377-49bd-b39b-4c2d77357135
TitleScientific Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, New York
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionNY
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/uncountable/48cbdfbc-c377-49bd-b39b-4c2d77357135
Apply URLhttps://jobs.ashbyhq.com/uncountable/48cbdfbc-c377-49bd-b39b-4c2d77357135/application
First Seen At2026-05-29 06:11:41Z
Last Seen At2026-06-06 09:22:10Z
Last Checked At2026-06-06 09:22:10Z
Last Changed At2026-05-29 06:11:41Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=uncountable/date=2026-06-06/2026-06-06T09-21-47-634Z-7bb814824dd1447295a72e73e26b47b78efce628b97a50403aa4519f2816e342.json
Event Fields
{
  "content_hash": "1fb8cf2b5ec977ee4df2b97e44a29215573a0a82a10e73c435c0cbc17a092c5c",
  "source_hash": "31fd7efa59a104b9da6c0c3a543cea1702617777ccbf7b1364b5147a81394687",
  "last_changed_at": "2026-05-29T06:11:41.837Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Francisco, New York",
    "city": "San Francisco",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:22:10.792Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, New York",
      "city": "San Francisco",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "id": "48cbdfbc-c377-49bd-b39b-4c2d77357135",
  "team": "Engineering",
  "title": "Scientific Data Engineer",
  "jobUrl": "https://jobs.ashbyhq.com/uncountable/48cbdfbc-c377-49bd-b39b-4c2d77357135",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/uncountable/48cbdfbc-c377-49bd-b39b-4c2d77357135/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco, New York",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": null,
  "employmentType": "FullTime",
  "secondaryLocations": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/f1beafe1d01d2948add8ce09a647b276b864f983?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/5c17763f-8486-4189-b2bf-bc697289b0c2JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/947ed244-7e52-4b1b-a403-9a339ec13a6cJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/f1beafe1d01d2948add8ce09a647b276b864f983/eventsJSON