bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesRecruiting Ultipro Com Mvb1000mvbb A8eb1ed7 Abf0 43da 9691 Cac953d44b43Data Engineer

Data Engineer

Recruiting Ultipro Com Mvb1000mvbb A8eb1ed7 Abf0 43da 9691 Cac953d44b43 · Remote United States, United States · Remote · Active · UKG Pro Recruiting / Ultimate

Job facts

FieldValue
CompanyRecruiting Ultipro Com Mvb1000mvbb A8eb1ed7 Abf0 43da 9691 Cac953d44b43
TitleData Engineer
Normalized title-
Department / teamOperational Excellence
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerUKG Pro Recruiting / Ultimate
Posted / first seen2026-06-02 / 2026-06-03
Changed / last seen2026-06-03 / 2026-06-04

Related slices

PageWhat it containsOpen
Company jobsActive postings from Recruiting Ultipro Com Mvb1000mvbb A8eb1ed7 Abf0 43da 9691 Cac953d44b43.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through UKG Pro Recruiting / Ultimate.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Operational Excellence.Open
Work model jobsActive Remote postings.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

CompanyRecruiting Ultipro Com Mvb1000mvbb A8eb1ed7 Abf0 43da 9691 Cac953d44b43
Sourceb714399e-bf3c-44eb-abd0-72980758db89
ATS providerUKG Pro Recruiting / Ultimate

Description

The Data Engineer position is responsible for designing, building, and maintaining robust data infrastructure and automation solutions that support our organization's data-driven initiatives. This role will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure high-quality data delivery across the enterprise. This position requires strong technical expertise in Python and SQL programming, along with experience in modern data engineering tools and cloud platforms.

Full job record

Job IDa9287fface0d7fb311d8264247d2a1a7c72f3a6c
Org IDbf7bec00-abfc-498c-9b23-2fc4ee7a1f21
Source IDb714399e-bf3c-44eb-abd0-72980758db89
Board IDb714399e-bf3c-44eb-abd0-72980758db89
Providerukg
Provider Job Keyc150c959-0f9f-4689-94b0-e0877fe46270
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote United States, United States
DepartmentOperational Excellence
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary RawThe Data Engineer position is responsible for designing, building, and maintaining robust data infrastructure and automation solutions that support our organization's data-driven initiatives. This role will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure high-quality data delivery across the enterprise. This position requires strong technical expertise in Python and SQL programming, along with experience in modern data engineering tools and cloud platforms.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://recruiting.ultipro.com/MVB1000MVBB/JobBoard/a8eb1ed7-abf0-43da-9691-cac953d44b43/OpportunityDetail?opportunityId=c150c959-0f9f-4689-94b0-e0877fe46270
Apply URLhttps://recruiting.ultipro.com/MVB1000MVBB/JobBoard/a8eb1ed7-abf0-43da-9691-cac953d44b43/OpportunityDetail?opportunityId=c150c959-0f9f-4689-94b0-e0877fe46270
First Seen At2026-06-03 12:09:53Z
Last Seen At2026-06-04 12:31:30Z
Last Checked At2026-06-04 12:31:30Z
Last Changed At2026-06-03 12:09:53Z
Inactive At
Source Posted At2026-06-02 12:36:11Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=ukg/board=recruiting.ultipro.com|mvb1000mvbb|a8eb1ed7-abf0-43da-9691-cac953d44b43/date=2026-06-04/2026-06-04T12-31-29-166Z-ccd87adc2dc27783ed6a9f438afa61d858cf1df8962581e65556f037c0eb2bf4.json
Event Fields
{
  "content_hash": "252a62be75da70b2100b84f2e6a8c900ccc9aee8784337daf32b1a84dcf31c57",
  "source_hash": "39a2420f6ae7caea03869b6e1332078326784aeb5769f2418e2fd6bfde89ec4b",
  "last_changed_at": "2026-06-03T12:09:53.554Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Remote United States, United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-04T12:31:30.601Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Remote United States, United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "Id": "c150c959-0f9f-4689-94b0-e0877fe46270",
  "Title": "Data Engineer",
  "Distance": null,
  "Featured": false,
  "FullTime": true,
  "Locations": [
    {
      "Id": "4c25ae00-91bb-47c5-ac03-2b3cf52c8470",
      "Address": {
        "City": null,
        "Line1": null,
        "Line2": null,
        "State": null,
        "Country": {
          "Code": "USA",
          "Name": "United States"
        },
        "PostalCode": null
      },
      "Coordinates": {
        "Latitude": 46.09249645722756,
        "Longitude": -115.97626959614996
      },
      "DisplayName": true,
      "LocalizedName": "Remote United States",
      "SourceOfTruth": 0,
      "DisplayAddress": true,
      "DisplayLocationId": false,
      "DisplayDescription": false,
      "LocalizedLocationId": null,
      "DisplayStreetAddress": false,
      "LocalizedDescription": null
    }
  ],
  "MatchScore": 1,
  "PostedDate": "2026-06-02T12:36:11.967Z",
  "JobCategoryName": "Operational Excellence",
  "JobLocationType": 2,
  "OpportunityType": 0,
  "BriefDescription": "The Data Engineer position is responsible for designing, building, and maintaining robust data infrastructure and automation solutions that support our organization's data-driven initiatives. This role will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure high-quality data delivery across the enterprise. This position requires strong technical expertise in Python and SQL programming, along with experience in modern data engineering tools and cloud platforms.",
  "MatchedLocations": [],
  "RequisitionNumber": "DATAE002103"
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/a9287fface0d7fb311d8264247d2a1a7c72f3a6c?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/bf7bec00-abfc-498c-9b23-2fc4ee7a1f21JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/b714399e-bf3c-44eb-abd0-72980758db89JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/a9287fface0d7fb311d8264247d2a1a7c72f3a6c/eventsJSON