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HomeCompaniesFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2Senior 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

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleSenior GCP Data Engineer
Normalized title-
Department / teamData Analytics
LocationUnited States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-01 / 2026-06-02
Changed / last seen2026-06-06 / 2026-06-06

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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 Data Analytics.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 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 ID93881dfec2c815b9c1bb48766ae2e116feb98e51
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key14891
TitleSenior GCP Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States; US Connecticut (Hartford) C27
DepartmentData Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawDescription 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 URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/14891
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/14891
First Seen At2026-06-02 11:46:11Z
Last Seen At2026-06-06 11:44:11Z
Last Checked At2026-06-06 11:44:11Z
Last Changed At2026-06-06 11:44:11Z
Inactive At
Source Posted At2026-06-01 20:26:22Z
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=2026-06-06/2026-06-06T11-42-28-116Z-9f6f0c60410cbd3bee6b0a060a8e65cb535d3b1d1066f0984f31827798e22ea6.json
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