bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2Jr. Feature Engineer

Jr. Feature Engineer

Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; US Pennsylvania (Pittsburgh) C56 · Hybrid · Active · $100,000–$107,000 / year · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleJr. Feature Engineer
Normalized title-
Department / teamDigital
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$100,000–$107,000 / year
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-19 / 2026-06-20
Changed / last seen2026-06-20 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Digital.Open
Work model jobsActive Hybrid 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

CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
Source907773df-d032-42dc-b60a-978734f5ac21
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Work Location: Pittsburgh Work Mode: Onsite Pay Range: $100K-$107K /Yr Base + Annual Bonus The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process For more information on benefits and what we offer please visit us at US Careers and Benefits US Careers and Benefits The business outcomes we deliver to clients are made real by people through what they do at EXL. To be at the top of the game every day at work, requires you to bring your best. Job Summary We are looking for a highly skilled Data Engineer with strong expertise in Python and SQL , along with hands-on experience in DevOps and CI/CD practices . The role involves building scalable data pipelines, optimizing data systems, and enabling efficient data-driven solutions. Responsibilities Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL. Build and optimize data ingestion and transformation frameworks for large datasets Develop robust solutions for data processing, validation, and quality assurance Implement CI/CD pipelines and DevOps practices for data engineering workflows Automate data pipelines, deployment, and monitoring processes Work with cross-functional teams to understand business requirements and deliver data solutions Troubleshoot and optimize performance of data pipelines and systems Must-Have Skills Hands-on experience in Python and SQL Experience in data engineering concepts : ETL/ELT, data modeling, data warehousing Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.) Experience in building production-grade data pipelines Strong debugging, problem-solving, and optimization skills Good to Have Experience with PySpark / Big Data technologies Exposure to cloud platforms. Knowledge of workflow orchestration tools (Airflow, etc.) Understanding of data governance and quality frameworks Qualifications Required Skills: Hands-on experience in Python and SQL Experience in data engineering concepts : ETL/ELT, data modeling, data warehousing Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.) Experience in building production-grade data pipelines Strong debugging, problem-solving, and optimization skills

Full job record

Job ID1bd92fcf2e79ffc0089074ceb77a1851bdae881f
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key15870
TitleJr. Feature Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States; US Pennsylvania (Pittsburgh) C56
DepartmentDigital
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawPay Range: $100K-$107K /Yr Base + Annual Bonus The posted range is the hiring range for this role — a
Salary Min100,000
Salary Max107,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/15870
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/15870
First Seen At2026-06-20 12:14:05Z
Last Seen At2026-06-20 12:14:05Z
Last Checked At2026-06-20 12:14:05Z
Last Changed At2026-06-20 12:14:05Z
Inactive At
Source Posted At2026-06-19 22:41:51Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-20/2026-06-20T12-12-27-062Z-2dac21aae79e559f54342ea87d4c4bf0de39b92a05ea16bbe2c15085b6bc0c76.json
Event Fields
{
  "content_hash": "c99829889ffa559b1a20c290a50798154ca6c304bb4b8db4def20deaec2721fc",
  "source_hash": "3765d4fe0ce55ee65f7e52c89a7f5207861fa88b8f4320d45a4d94eef80d30b4",
  "last_changed_at": "2026-06-20T12:14:05.080Z",
  "active_status": "active"
}
Parsed Structured
{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 107000,
  "salary_min": 100000,
  "inferred_at": "2026-06-20T12:14:04.537Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "detail": {
    "Id": "15870",
    "Title": "Jr. Feature Engineer",
    "media": [],
    "skills": [
      {
        "Skill": "Attention To Consistency",
        "SkillId": "300003954410074",
        "SectionId": "300000135879451",
        "SkillType": "SOFT_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Cloud Networking",
        "SkillId": "300003954410075",
        "SectionId": "300000135879451",
        "SkillType": "HARD_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Cloud Solutions",
        "SkillId": "300003954410076",
        "SectionId": "300000135879451",
        "SkillType": "HARD_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Content Migration",
        "SkillId": "300003954410077",
        "SectionId": "300000135879451",
        "SkillType": "HARD_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Internal Communications",
        "SkillId": "300003954410078",
        "SectionId": "300000135879451",
        "SkillType": "SOFT_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Interpersonal Relationship Building",
        "SkillId": "300003954410079",
        "SectionId": "300000135879451",
        "SkillType": "SOFT_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Leadership Capabilities",
        "SkillId": "300003954410080",
        "SectionId": "300000135879451",
        "SkillType": "SOFT_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Optimization Techniques",
        "SkillId": "300003954410081",
        "SectionId": "300000135879451",
        "SkillType": "HARD_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      },
      {
        "Skill": "Working under Pressure",
        "SkillId": "300003954410082",
        "SectionId": "300000135879451",
        "SkillType": "SOFT_SKILL",
        "SectionName": "Skill",
        "ContentItemId": null
      }
    ],
    "JobType": null,
    "Category": "Digital",
    "JobGrade": null,
    "JobLevel": null,
    "JobShift": null,
    "WorkDays": null,
    "WorkHours": null,
    "WorkYears": null,
    "Department": null,
    "HotJobFlag": false,
    "StudyLevel": "Bachelor's Degree",
    "WorkMonths": null,
    "WorkerType": null,
    "GeographyId": 300000000467584,
    "JobFamilyId": 300001172146114,
    "JobFunction": "Data Engineering",
    "JobSchedule": "Full time",
    "BusinessUnit": null,
    "ContractType": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": null,
        "Region1": null,
        "Region2": null,
        "Region3": null,
        "Building": null,
        "Latitude": "40.43694",
        "Longitude": "-80.07998",
        "LocationId": 300000002980491,
        "PostalCode": null,
        "TownOrCity": null,
        "AddressLine1": null,
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "US Pennsylvania (Pittsburgh) C56"
      }
    ],
    "ContentLocale": "en",
    "HiringManager": null,
    "LegalEmployer": null,
    "RequisitionId": 300003954410070,
    "WorkplaceType": "Hybrid",
    "BusinessUnitId": 300000002965433,
    "OrganizationId": 300000002988873,
    "GeographyNodeId": 300001186829838,
    "JobFunctionCode": "EXL_JFN_2007318629",
    "LegalEmployerId": 300000002988873,
    "PrimaryLocation": "United States",
    "RequisitionType": "Professional",
    "NumberOfOpenings": null,
    "WorkplaceTypeCode": "ORA_HYBRID",
    "BeFirstToApplyFlag": false,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ExternalContactName": null,
    "ShortDescriptionStr": "Jr. Feature Engineer",
    "ExternalContactEmail": null,
    "ExternalPostedEndDate": null,
    "OtherRequisitionTitle": null,
    "requisitionFlexFields": [],
    "ApplyWhenNotPostedFlag": false,
    "DomesticTravelRequired": null,
    "ExternalDescriptionStr": "<p><strong>Work Location: Pittsburgh</strong><br><strong>Work Mode: Onsite</strong><br><strong>Pay Range: $100K-$107K /Yr Base + Annual Bonus</strong></p>\n<p><strong>&nbsp;</strong></p>\n<p><i><strong>The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process</strong></i></p>\n<p><strong>For more information on benefits and what we offer please visit us at&nbsp;</strong><a href=\"https://www.exlservice.com/us-careers-and-benefits\" target=\"_blank\" rel=\"nofollow\"><strong>US Careers and Benefits</strong></a></p>\n<p><strong>US Careers and Benefits</strong></p>\n<p><strong>The business outcomes we deliver to clients are made real by people through what they do at EXL. To be at the top of the game every day at work, requires you to bring your best.</strong></p>\n<p>&nbsp;</p>\n<p><strong>Job Summary</strong></p>\n<p>We are looking for a highly skilled <strong>Data Engineer</strong> with strong expertise in <strong>Python and SQL</strong>, along with hands-on experience in <strong>DevOps and CI/CD practices</strong>. The role involves building scalable data pipelines, optimizing data systems, and enabling efficient data-driven solutions.</p>\n<p>&nbsp;</p>",
    "ObjectVerNumberProfile": "1",
    "PrimaryLocationCountry": "US",
    "CorporateDescriptionStr": "",
    "ExternalPostedStartDate": "2026-06-19T22:41:51+00:00",
    "ExternalQualificationsStr": "<p><strong>Required Skills:</strong></p><ul><li>Hands-on experience in <strong>Python and SQL</strong></li><li>Experience in <strong>data engineering concepts</strong>: ETL/ELT, data modeling, data warehousing</li><li>Solid exposure to <strong>DevOps tools &amp; practices</strong> (CI/CD, Git, Jenkins, Docker, etc.)</li><li>Experience in <strong>building production-grade data pipelines</strong></li><li>Strong debugging, problem-solving, and optimization skills</li></ul>",
    "InternalQualificationsStr": "<p>Bachelor's/Master's in Engineering 2-5 years</p>",
    "OrganizationDescriptionStr": "",
    "primaryLocationCoordinates": [
      {
        "Latitude": "39.82844",
        "Longitude": "-98.57939",
        "CountryCode": "US",
        "GeographyId": 300000000467584,
        "GeographyNodeId": 300001186829838
      }
    ],
    "ExternalResponsibilitiesStr": "<p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain <strong>scalable ETL/ELT pipelines</strong> using Python and SQL.</li><li>Build and optimize <strong>data ingestion and transformation frameworks</strong> for large datasets</li><li>Develop robust solutions for <strong>data processing, validation, and quality assurance</strong></li><li>Implement <strong>CI/CD pipelines and DevOps practices</strong> for data engineering workflows</li><li>Automate data pipelines, deployment, and monitoring processes</li><li>Work with cross-functional teams to understand business requirements and deliver data solutions</li><li>Troubleshoot and optimize performance of data pipelines and systems</li></ul><p> </p><p><strong>Must-Have Skills</strong></p><ul><li>Hands-on experience in <strong>Python and SQL</strong></li><li>Experience in <strong>data engineering concepts</strong>: ETL/ELT, data modeling, data warehousing</li><li>Solid exposure to <strong>DevOps tools &amp; practices</strong> (CI/CD, Git, Jenkins, Docker, etc.)</li><li>Experience in <strong>building production-grade data pipelines</strong></li><li>Strong debugging, problem-solving, and optimization skills</li></ul><p> </p><p><strong>Good to Have</strong></p><ul><li>Experience with <strong>PySpark / Big Data technologies</strong></li><li>Exposure to <strong>cloud platforms.</strong></li><li>Knowledge of <strong>workflow orchestration tools (Airflow, etc.)</strong></li><li>Understanding of <strong>data governance and quality frameworks</strong></li></ul>",
    "InternalResponsibilitiesStr": "<p>Required Skills:</p><ul><li>Design, develop, and maintain <strong>scalable ETL/ELT pipelines</strong> using Python and SQL.</li><li>Build and optimize <strong>data ingestion and transformation frameworks</strong> for large datasets</li><li>Develop robust solutions for <strong>data processing, validation, and quality assurance</strong></li><li>Implement <strong>CI/CD pipelines and DevOps practices</strong> for data engineering workflows</li><li>Automate data pipelines, deployment, and monitoring processes</li><li>Work with cross-functional teams to understand business requirements and deliver data solutions</li><li>Troubleshoot and optimize performance of data pipelines and systems</li></ul>",
    "InternationalTravelRequired": null
  },
  "list_job": {
    "Id": "15870",
    "Title": "Jr. Feature Engineer",
    "JobType": null,
    "Distance": 1781827200000,
    "JobShift": null,
    "Language": "US",
    "WorkDays": null,
    "JobFamily": null,
    "Relevancy": 9,
    "WorkHours": null,
    "Department": null,
    "HotJobFlag": false,
    "PostedDate": "2026-06-19",
    "StudyLevel": null,
    "WorkerType": null,
    "GeographyId": 300000000467584,
    "JobFunction": null,
    "JobSchedule": null,
    "BusinessUnit": null,
    "ContractType": null,
    "ManagerLevel": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": null,
        "Region1": null,
        "Region2": null,
        "Region3": null,
        "Building": null,
        "Latitude": 40.43694,
        "Longitude": -80.07998,
        "LocationId": 300000002980491,
        "PostalCode": null,
        "TownOrCity": null,
        "AddressLine1": null,
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "US Pennsylvania (Pittsburgh) C56"
      }
    ],
    "LegalEmployer": null,
    "MediaThumbURL": null,
    "WorkplaceType": "Hybrid",
    "BusinessUnitId": 300000002965433,
    "OrganizationId": 300000002988873,
    "PostingEndDate": null,
    "LegalEmployerId": 300000002988873,
    "PrimaryLocation": "United States",
    "WorkDurationYears": null,
    "WorkplaceTypeCode": "ORA_HYBRID",
    "BeFirstToApplyFlag": false,
    "WorkDurationMonths": null,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ShortDescriptionStr": "Jr. Feature Engineer",
    "requisitionFlexFields": [],
    "DomesticTravelRequired": null,
    "PrimaryLocationCountry": "US",
    "ExternalQualificationsStr": null,
    "ExternalResponsibilitiesStr": null,
    "InternationalTravelRequired": null
  },
  "detail_meta": {
    "url": "https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2215870%22,siteNumber=cx_2",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 9739
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/1bd92fcf2e79ffc0089074ceb77a1851bdae881f?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/3ea3b397-9a23-408a-8421-50fd1d902746JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/907773df-d032-42dc-b60a-978734f5ac21JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/1bd92fcf2e79ffc0089074ceb77a1851bdae881f/eventsJSON