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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

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleGCP Cloud Engineer
Normalized title-
Department / teamData Analytics
LocationHartford, CT, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusdeleted
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-04 / 2026-05-31
Changed / last seen2026-06-23 / 2026-06-21

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Linked records

CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
Source907773df-d032-42dc-b60a-978734f5ac21
ATS providerOracle 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 ID2206f43be7737c9bd6980175f882d1f3caf02c3e
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key13517
TitleGCP Cloud Engineer
Normalized Title
Statusdeleted
Activeno
Location TextHartford, Connecticut, United States; EXL TRUMBULL HARTFORD
DepartmentData Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCT
CityHartford
Salary RawDescription 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
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Source URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/13517
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/13517
First Seen At2026-05-31 18:05:11Z
Last Seen At2026-06-21 12:52:50Z
Last Checked At2026-06-23 11:32:31Z
Last Changed At2026-06-23 11:32:31Z
Inactive At2026-06-23 11:32:31Z
Source Posted At2026-05-04 13:32:17Z
Source Updated At
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    "OrganizationId": 300000002988873,
    "PostingEndDate": null,
    "LegalEmployerId": 300000002988873,
    "PrimaryLocation": "Hartford, Connecticut, United States",
    "WorkDurationYears": null,
    "WorkplaceTypeCode": "ORA_HYBRID",
    "BeFirstToApplyFlag": false,
    "WorkDurationMonths": null,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ShortDescriptionStr": "•\t5+ years of experience in data engineering or related field\n•\t2+ years working on cloud-based data platforms (preferably GCP)\n•\tExperience in healthcare analytics or payer/provider systems is highly preferred\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=%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=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/2206f43be7737c9bd6980175f882d1f3caf02c3e/eventsJSON