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GCP Cloud Engineer
Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · Hartford, Connecticut, United States; EXL TRUMBULL HARTFORD · Hybrid · Deleted · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | GCP Cloud Engineer |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | Hartford, CT, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-04 / 2026-05-31 |
| Changed / last seen | 2026-06-23 / 2026-06-21 |
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 |
| City jobs | Active postings in Hartford. | 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 highly skilled Data Engineer with strong expertise in Python, Google Cloud Platform (GCP), and AI-enabled data solutions. The ideal candidate will build scalable data pipelines and support advanced analytics initiatives within the healthcare domain, with a focus on Medicare Part D data and patient safety outcomes. The ideal profile should reflect a higher level of technical proficiency, problem-solving ability, and domain understanding particularly in building robust data solutions, working with complex healthcare datasets, and collaborating effectively across data science, clinical, and business teams.
Responsibilities
Data Engineering & Pipeline Development Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured healthcare data. Build robust data ingestion frameworks from multiple sources (Medical claims, RX Claims, Membership etc.). Ensure data quality, integrity, and governance across all pipelines. Optimize data workflows for performance, reliability, and cost efficiency on GCP. AI & Advanced Analytics Enablement Collaborate with data scientists to operationalize AI/ML models in production environments. Develop feature pipelines and data transformations for machine learning use cases. Support use cases such as: Patient risk scoring Quality and safety analytics Cloud & GCP Engineering Build and manage data infrastructure using GCP services such as: BigQuery Cloud Composer Workflow Cloud Storage Dataproc / Spark Implement data lake and data warehouse architectures on GCP. Ensure compliance with HIPAA and healthcare data security standards . Healthcare & Medicare Data Management Work with Medicare datasets including: Claims data (Part D) Provider and beneficiary data Enable analytics for quality measures, patient outcomes, and regulatory reporting . Patient Safety & Compliance Develop solutions to monitor and improve patient safety indicators (PSIs) and care quality. Build data models supporting: Adverse event detection Medication safety Clinical quality measures Ensure compliance with healthcare regulations and data privacy standards.
Qualifications
Technical Skills Strong programming Handson experience in Python/ Pyspark (mandatory) Expertise in: SQL (advanced querying, performance tuning) Data modeling (star/snowflake schemas) Hands-on experience with GCP data services (Big Query, Dataproc) Experience with distributed processing frameworks (e.g., Apache Spark ) Familiarity with CI/CD pipelines and DevOps practices AI & Machine Learning Experience supporting ML/AI workflows and pipelines Healthcare Domain Knowledge (Preferred but Strongly Desired) Experience working with healthcare datasets (claims, EHR, clinical data) Familiarity with Medicare/Medicaid data structures and reporting Understanding of value-based care and quality measures Patient Safety Knowledge (Preferred) Knowledge of patient safety frameworks and indicators Experience supporting: Quality reporting programs (e.g., CMS measures) Clinical risk and compliance analytics
Full job record
| Job ID | 2206f43be7737c9bd6980175f882d1f3caf02c3e |
| 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 | 13517 |
| Title | GCP Cloud Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Hartford, Connecticut, United States; EXL TRUMBULL HARTFORD |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CT |
| City | Hartford |
| Salary Raw | Description We are seeking a highly skilled Data Engineer with strong expertise in Python, Google Cloud Platform (GCP), and AI-enabled data solutions. The ideal candidate will build scalable data pipelines and support advanced analytics initiatives within the healthcare domain, with a focus on Medicare Part D data and patient safety outcomes. The ideal profile should reflect a higher level of technical proficiency, problem-solving ability, and domain understanding particularly in building robust data solutions, working with complex healthcare datasets, and collaborating effectively across data science, clinical, and business teams. Responsibilities Data Engineering & Pipeline Development Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured healthcare data. Build robust data ingestion frameworks from multiple sources (Medical claims, RX Claims, Membership etc.). Ensure data quality, integrity, and governance across all pipelines. Optimize data workflows for performance, reliability, and cost efficiency on GCP. AI & Advanced Analytics Enablement Collaborate with data scientists to operationalize AI/ML models in production environments. Develop feature pipelines and data transformations for machine learning use cases. Support use cases such as: Patient risk scoring Quality and safety analytics Cloud & GCP Engineering Build and manage data infrastructure using GCP services such as: BigQuery Cloud Composer Workflow Cloud Storage Dataproc / Spark Implement data lake and data warehouse architectures on GCP. Ensure compliance with HIPAA and healthcare data security standards . Healthcare & Medicare Data Management Work with Medicare datasets including: Claims data (Part D) Provider and beneficiary data Enable analytics for quality measures, patient outcomes, and regulatory reporting . Patient Safety & Compliance Develop solutions to monitor and improve patient safety indicators (PSIs) and care quality. Build data models supporting: Adverse event detection Medication safety Clinical quality measures Ensure compliance with healthcare regulations and data privacy standards. Qualifications Technical Skills Strong programming Handson experience in Python/ Pyspark (mandatory) Expertise in: SQL (advanced querying, performance tuning) Data modeling (star/snowflake schemas) Hands-on experience with GCP data services (Big Query, Dataproc) Experience with distributed processing frameworks (e.g., Apache Spark ) Familiarity with CI/CD pipelines and DevOps practices AI & Machine Learning Experience supporting ML/AI workflows and pipelines Healthcare Domain Knowledge (Preferred but Strongly Desired) Experience working with healthcare datasets (claims, EHR, clinical data) Familiarity with Medicare/Medicaid data structures and reporting Understanding of value-based care and quality measures Patient Safety Knowledge (Preferred) Knowledge of patient safety frameworks and indicators Experience supporting: Quality reporting programs (e.g., CMS measures) Clinical risk and compliance analytics |
| 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/13517 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/13517 |
| First Seen At | 2026-05-31 18:05:11Z |
| Last Seen At | 2026-06-21 12:52:50Z |
| Last Checked At | 2026-06-23 11:32:31Z |
| Last Changed At | 2026-06-23 11:32:31Z |
| Inactive At | 2026-06-23 11:32:31Z |
| Source Posted At | 2026-05-04 13:32:17Z |
| 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=2026-06-21/2026-06-21T12-51-11-391Z-8cdf663e88f0150f2ed55f0616a2982d391879ea3b5899da09ec5f4af68ff69d.json |
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"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=%2213517%22,siteNumber=cx_2",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 16565
},
"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/2206f43be7737c9bd6980175f882d1f3caf02c3e?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/2206f43be7737c9bd6980175f882d1f3caf02c3e/eventsJSON