Home › Companies › Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 › Senior GCP Data Engineer
Senior GCP Data Engineer
Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; US Connecticut (Hartford) C27 · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | Senior GCP Data Engineer |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-01 / 2026-06-02 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data Analytics. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Source | 907773df-d032-42dc-b60a-978734f5ac21 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
We are seeking a Senior Data Engineer (Lead) to drive and own end-to-end data engineering initiatives. This role will lead all data engineering efforts, working closely with Data Science and Analytics teams to design scalable data platforms, enable advanced analytics, and support machine learning use cases.
The ideal candidate will bring deep expertise in cloud data engineering (GCP) , strong data modeling capabilities , and proven experience in leading enterprise-grade data solutions.
Responsibilities
Lead and manage end-to-end Data Engineering delivery across projects and initiatives Act as the primary technical owner for data pipelines, architecture, and platform design Mentor and guide a team of data engineers, ensuring best practices and coding standards Design, build, and optimize scalable data pipelines on GCP Define and implement modern data architectures (data lake, lakehouse, warehouse) Ensure high performance, reliability, and data quality across pipelines Partner closely with Data Science teams to enable ML/AI workflows Translate business and modeling requirements into optimized data structures Support feature engineering, model training, and deployment pipelines Design logical and physical data models for analytics and ML use cases Implement dimensional modeling (Star/Snowflake schemas) and data vault where applicable Optimize datasets for performance, scalability, and usability Build and manage solutions using GCP services such as: BigQuery, Cloud Composer (Airflow), Cloud Storage, Dataproc Ensure security, governance, and cost optimization on GCP
Qualifications
Required Qualification and Skills:
8+ years of experience in Data Engineering , with leadership experience Strong expertise in GCP ecosystem and services Proficiency in SQL, Python , and/or Scala Hands-on experience with ETL frameworks and distributed processing Solid experience in Dimensional modeling, Data warehousing concepts, Data structures for ML/analytics Experience with Apache Spark and Real-time and batch processing frameworks Experience working with cross-functional teams (Data Science, Analytics, Business) Proven ability to lead, mentor, and drive delivery Strong ownership mindset with leadership capabilities Excellent problem-solving and architectural thinking Ability to operate in a fast-paced, collaborative environment
Preferred Qualifications:
Experience in ML data pipelines / feature stores Knowledge of data governance, lineage, and quality frameworks Exposure to healthcare/payor domain (nice to have) Certifications in GCP (Professional Data Engineer)
Full job record
| Job ID | 93881dfec2c815b9c1bb48766ae2e116feb98e51 |
| Org ID | 3ea3b397-9a23-408a-8421-50fd1d902746 |
| Source ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Board ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Provider | oracle_hcm |
| Provider Job Key | 14891 |
| Title | Senior GCP Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; US Connecticut (Hartford) C27 |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description We are seeking a Senior Data Engineer (Lead) to drive and own end-to-end data engineering initiatives. This role will lead all data engineering efforts, working closely with Data Science and Analytics teams to design scalable data platforms, enable advanced analytics, and support machine learning use cases. The ideal candidate will bring deep expertise in cloud data engineering (GCP) , strong data modeling capabilities , and proven experience in leading enterprise-grade data solutions. Responsibilities Lead and manage end-to-end Data Engineering delivery across projects and initiatives Act as the primary technical owner for data pipelines, architecture, and platform design Mentor and guide a team of data engineers, ensuring best practices and coding standards Design, build, and optimize scalable data pipelines on GCP Define and implement modern data architectures (data lake, lakehouse, warehouse) Ensure high performance, reliability, and data quality across pipelines Partner closely with Data Science teams to enable ML/AI workflows Translate business and modeling requirements into optimized data structures Support feature engineering, model training, and deployment pipelines Design logical and physical data models for analytics and ML use cases Implement dimensional modeling (Star/Snowflake schemas) and data vault where applicable Optimize datasets for performance, scalability, and usability Build and manage solutions using GCP services such as: BigQuery, Cloud Composer (Airflow), Cloud Storage, Dataproc Ensure security, governance, and cost optimization on GCP Qualifications Required Qualification and Skills: 8+ years of experience in Data Engineering , with leadership experience Strong expertise in GCP ecosystem and services Proficiency in SQL, Python , and/or Scala Hands-on experience with ETL frameworks and distributed processing Solid experience in Dimensional modeling, Data warehousing concepts, Data structures for ML/analytics Experience with Apache Spark and Real-time and batch processing frameworks Experience working with cross-functional teams (Data Science, Analytics, Business) Proven ability to lead, mentor, and drive delivery Strong ownership mindset with leadership capabilities Excellent problem-solving and architectural thinking Ability to operate in a fast-paced, collaborative environment Preferred Qualifications: Experience in ML data pipelines / feature stores Knowledge of data governance, lineage, and quality frameworks Exposure to healthcare/payor domain (nice to have) Certifications in GCP (Professional Data Engineer) |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/14891 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/14891 |
| First Seen At | 2026-06-02 11:46:11Z |
| Last Seen At | 2026-06-06 11:44:11Z |
| Last Checked At | 2026-06-06 11:44:11Z |
| Last Changed At | 2026-06-06 11:44:11Z |
| Inactive At | — |
| Source Posted At | 2026-06-01 20:26:22Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-06/2026-06-06T11-42-28-116Z-9f6f0c60410cbd3bee6b0a060a8e65cb535d3b1d1066f0984f31827798e22ea6.json |
Event Fields
{
"content_hash": "57b644c85b39a60376a996c4362c5dd6244e7479660e03a8649a04698c7e1ee8",
"source_hash": "0dea92eaf5c1d5cbb96a045a129e4769e309747eae0d37567087ad751a78ec00",
"last_changed_at": "2026-06-06T11:44:11.717Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "United States",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T11:44:11.342Z",
"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": null,
"workplace_type": "hybrid",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "14891",
"Title": "Senior GCP Data Engineer",
"media": [],
"skills": [],
"JobType": null,
"Category": "Data Analytics",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": "Master's Degree",
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000000467584,
"JobFamilyId": 300001172146126,
"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": "41.76706",
"Longitude": "-72.67304",
"LocationId": 300000002980574,
"PostalCode": null,
"TownOrCity": null,
"AddressLine1": null,
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US Connecticut (Hartford) C27"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300003509213397,
"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": "Senior Data Engineer (Lead) \nUp to $100k plus bonus\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\nThe 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.\n\n",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p>We are seeking a <strong>Senior Data Engineer (Lead)</strong> to drive and own end-to-end data engineering initiatives. This role will lead all data engineering efforts, working closely with <strong>Data Science and Analytics teams</strong> to design scalable data platforms, enable advanced analytics, and support machine learning use cases.</p>\n<p>The ideal candidate will bring deep expertise in <strong>cloud data engineering (GCP)</strong>, strong <strong>data modeling capabilities</strong>, and proven experience in leading enterprise-grade data solutions.</p>",
"ObjectVerNumberProfile": "1",
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "",
"ExternalPostedStartDate": "2026-06-01T20:26:22+00:00",
"ExternalQualificationsStr": "<p><strong>Required Qualification and Skills: </strong></p><ul><li>8+ years of experience in <strong>Data Engineering</strong>, with leadership experience </li><li>Strong expertise in <strong>GCP ecosystem and services</strong> </li><li>Proficiency in <strong>SQL, Python</strong>, and/or Scala </li><li>Hands-on experience with <strong>ETL frameworks and distributed processing</strong></li><li>Solid experience in Dimensional modeling, Data warehousing concepts, Data structures for ML/analytics</li><li>Experience with <strong>Apache Spark </strong>and<strong> Real-time and batch processing frameworks</strong></li><li>Experience working with <strong>cross-functional teams (Data Science, Analytics, Business)</strong> </li><li>Proven ability to <strong>lead, mentor, and drive delivery</strong></li><li>Strong ownership mindset with leadership capabilities </li><li>Excellent problem-solving and architectural thinking </li><li>Ability to operate in a <strong>fast-paced, collaborative environment</strong></li></ul><p style=\"margin-left:0.25in\"> </p><p style=\"margin-left:0.25in\"><strong>Preferred Qualifications:</strong></p><ul><li>Experience in <strong>ML data pipelines / feature stores</strong></li><li>Knowledge of <strong>data governance, lineage, and quality frameworks</strong></li><li>Exposure to <strong>healthcare/payor domain (nice to have)</strong></li><li>Certifications in <strong>GCP (Professional Data Engineer)</strong></li></ul>",
"InternalQualificationsStr": "<p><strong>Required Qualification and Skills: </strong></p><ul><li>8+ years of experience in <strong>Data Engineering</strong>, with leadership experience </li><li>Strong expertise in <strong>GCP ecosystem and services</strong> </li><li>Proficiency in <strong>SQL, Python</strong>, and/or Scala </li><li>Hands-on experience with <strong>ETL frameworks and distributed processing</strong></li><li>Solid experience in Dimensional modeling, Data warehousing concepts, Data structures for ML/analytics</li><li>Experience with <strong>Apache Spark </strong>and<strong> Real-time and batch processing frameworks</strong></li><li>Experience working with <strong>cross-functional teams (Data Science, Analytics, Business)</strong> </li><li>Proven ability to <strong>lead, mentor, and drive delivery</strong></li><li>Strong ownership mindset with leadership capabilities </li><li>Excellent problem-solving and architectural thinking </li><li>Ability to operate in a <strong>fast-paced, collaborative environment</strong></li></ul><p style=\"margin-left:0.25in\"> </p><p style=\"margin-left:0.25in\"><strong>Preferred Qualifications:</strong></p><ul><li>Experience in <strong>ML data pipelines / feature stores</strong></li><li>Knowledge of <strong>data governance, lineage, and quality frameworks</strong></li><li>Exposure to <strong>healthcare/payor domain (nice to have)</strong></li><li>Certifications in <strong>GCP (Professional Data Engineer)</strong></li></ul>",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "39.82844",
"Longitude": "-98.57939",
"CountryCode": "US",
"GeographyId": 300000000467584,
"GeographyNodeId": 300001186829838
}
],
"ExternalResponsibilitiesStr": "<ul><li>Lead and manage <strong>end-to-end Data Engineering delivery</strong> across projects and initiatives </li><li>Act as the <strong>primary technical owner</strong> for data pipelines, architecture, and platform design </li><li>Mentor and guide a team of data engineers, ensuring best practices and coding standards</li><li>Design, build, and optimize <strong>scalable data pipelines</strong> on GCP </li><li>Define and implement <strong>modern data architectures</strong> (data lake, lakehouse, warehouse) </li><li>Ensure high performance, reliability, and data quality across pipelines</li><li>Partner closely with <strong>Data Science teams</strong> to enable ML/AI workflows </li><li>Translate business and modeling requirements into <strong>optimized data structures</strong> </li><li>Support feature engineering, model training, and deployment pipelines</li><li>Design <strong>logical and physical data models</strong> for analytics and ML use cases </li><li>Implement <strong>dimensional modeling (Star/Snowflake schemas)</strong> and data vault where applicable </li><li>Optimize datasets for performance, scalability, and usability</li><li>Build and manage solutions using GCP services such as: <strong>BigQuery, Cloud Composer (Airflow), Cloud Storage, Dataproc</strong></li><li>Ensure security, governance, and cost optimization on GCP</li></ul>",
"InternalResponsibilitiesStr": "<ul><li>Lead and manage <strong>end-to-end Data Engineering delivery</strong> across projects and initiatives </li><li>Act as the <strong>primary technical owner</strong> for data pipelines, architecture, and platform design </li><li>Mentor and guide a team of data engineers, ensuring best practices and coding standards</li><li>Design, build, and optimize <strong>scalable data pipelines</strong> on GCP </li><li>Define and implement <strong>modern data architectures</strong> (data lake, lakehouse, warehouse) </li><li>Ensure high performance, reliability, and data quality across pipelines</li><li>Partner closely with <strong>Data Science teams</strong> to enable ML/AI workflows </li><li>Translate business and modeling requirements into <strong>optimized data structures</strong> </li><li>Support feature engineering, model training, and deployment pipelines</li><li>Design <strong>logical and physical data models</strong> for analytics and ML use cases </li><li>Implement <strong>dimensional modeling (Star/Snowflake schemas)</strong> and data vault where applicable </li><li>Optimize datasets for performance, scalability, and usability</li><li>Build and manage solutions using GCP services such as: <strong>BigQuery, Cloud Composer (Airflow), Cloud Storage, Dataproc</strong></li><li>Ensure security, governance, and cost optimization on GCP</li></ul>",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "14891",
"Title": "Senior GCP Data Engineer",
"JobType": null,
"Distance": 1780272000000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 7,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-06-01",
"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": 41.76706,
"Longitude": -72.67304,
"LocationId": 300000002980574,
"PostalCode": null,
"TownOrCity": null,
"AddressLine1": null,
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "US Connecticut (Hartford) C27"
}
],
"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": "Senior Data Engineer (Lead) \nUp to $100k plus bonus\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\nThe 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.\n\n",
"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=%2214891%22,siteNumber=cx_2",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 10269
},
"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/93881dfec2c815b9c1bb48766ae2e116feb98e51?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/3ea3b397-9a23-408a-8421-50fd1d902746JSONGET https://api.bluedoor.sh/job-postings/v1/sources/907773df-d032-42dc-b60a-978734f5ac21JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/93881dfec2c815b9c1bb48766ae2e116feb98e51/eventsJSON