Data Engineer, GCP, HR systems (onsite)

Vitaver & Associates • Juno Beach, FL

1d • Onsite

About The Position

14562 - Data Engineer, GCP, HR systems (Onsite) – Juno Beach, FL Start Date: ASAP Type: Temporary Project Estimated Duration: 12+ months with possible extensions Work Setting: 100% of the time at the Client’s site. No telecommuting or remote work. This is a non-negotiable requirement from the client. Only candidates able to relocate as required should apply to avoid removal from future consideration. Required: Availability to work 100% of the time at the Client’s site in Juno Beach, FL (required); Experience with data engineering, data integration, or a closely related role [3+ years]; Experience with SQL and Python for data transformation and pipeline development; Experience with Google Cloud Platform (BigQuery preferred); Azure or AWS considered; Experience with data pipeline frameworks (Apache Beam, dbt, Dataflow, or equivalent); Experience with REST APIs and data exchange patterns (JSON, XML, flat file); Experience with dimensional modeling, data warehousing concepts, and semantic layer design; Preferred: Experience with SAP SuccessFactors, ServiceNow, SAP S/4HANA, or similar HR/enterprise business systems; Experience with SAP CPI or other middleware/integration platforms; Experience with dbt for data transformation and semantic modeling; Experience with LLM grounding, RAG patterns, or AI/ML data preparation; Experience supporting regulated industries (energy, finance, or healthcare) where auditability matters; Google Cloud Professional Data Engineer certification (or in progress); Responsibilities: Design, build, and maintain data pipelines that move and transform data from source systems (SAP SuccessFactors, ServiceNow HRSD, SAP S/4HANA, Fieldglass) into Google Cloud Platform (BigQuery, Cloud Storage, Pub/Sub); Define and maintain consistent semantic definitions for core HR and Corporate Services entities; build and govern dimensional models and data marts serving reporting, self-service analytics, and AI grounding use cases; Prepare, label, and structure datasets to support Retrieval-Augmented Generation (RAG) patterns and LLM grounding for AI applications; partner with solution architects to ensure data contracts are well-defined; Implement data quality rules, validation checks, and monitoring across the HRIT data estate; identify and escalate data integrity issues before they surface in dashboards or AI outputs; Build and maintain curated datasets and semantic models in BigQuery/Looker that enable HR and Corporate Services leaders to access trusted data without custom IT requests; Collaborate with SAP CPI and integration teams to understand data contracts and transformation logic at system boundaries; contribute to data architecture decisions; Support data migration efforts (S/4 transformation, SuccessFactors module expansions) with pipeline and model changes; maintain data lineage documentation and access controls for audit and compliance; Why apply? Gain experience with one of the world’s largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company; Work with a great team of professionals and learn newest technologies and approaches; Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation; Benefit from multiple projects extensions; Receive support and advice from Vitaver consultants who are already working at our Client’s site; Get extra cash by participating in Vitaver Successful Completion Bonus Program; Always get paid in full and on time.

Requirements

• Availability to work 100% of the time at the Client’s site in Juno Beach, FL (required)
• Experience with data engineering, data integration, or a closely related role [3+ years]
• Experience with SQL and Python for data transformation and pipeline development
• Experience with Google Cloud Platform (BigQuery preferred); Azure or AWS considered
• Experience with data pipeline frameworks (Apache Beam, dbt, Dataflow, or equivalent)
• Experience with REST APIs and data exchange patterns (JSON, XML, flat file)
• Experience with dimensional modeling, data warehousing concepts, and semantic layer design

Nice To Haves

• Experience with SAP SuccessFactors, ServiceNow, SAP S/4HANA, or similar HR/enterprise business systems
• Experience with SAP CPI or other middleware/integration platforms
• Experience with dbt for data transformation and semantic modeling
• Experience with LLM grounding, RAG patterns, or AI/ML data preparation
• Experience supporting regulated industries (energy, finance, or healthcare) where auditability matters
• Google Cloud Professional Data Engineer certification (or in progress)

Responsibilities

• Design, build, and maintain data pipelines that move and transform data from source systems (SAP SuccessFactors, ServiceNow HRSD, SAP S/4HANA, Fieldglass) into Google Cloud Platform (BigQuery, Cloud Storage, Pub/Sub)
• Define and maintain consistent semantic definitions for core HR and Corporate Services entities; build and govern dimensional models and data marts serving reporting, self-service analytics, and AI grounding use cases
• Prepare, label, and structure datasets to support Retrieval-Augmented Generation (RAG) patterns and LLM grounding for AI applications; partner with solution architects to ensure data contracts are well-defined
• Implement data quality rules, validation checks, and monitoring across the HRIT data estate; identify and escalate data integrity issues before they surface in dashboards or AI outputs
• Build and maintain curated datasets and semantic models in BigQuery/Looker that enable HR and Corporate Services leaders to access trusted data without custom IT requests
• Collaborate with SAP CPI and integration teams to understand data contracts and transformation logic at system boundaries; contribute to data architecture decisions
• Support data migration efforts (S/4 transformation, SuccessFactors module expansions) with pipeline and model changes; maintain data lineage documentation and access controls for audit and compliance

Benefits

• Gain experience with one of the world’s largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company
• Work with a great team of professionals and learn newest technologies and approaches
• Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation
• Benefit from multiple projects extensions
• Receive support and advice from Vitaver consultants who are already working at our Client’s site
• Get extra cash by participating in Vitaver Successful Completion Bonus Program
• Always get paid in full and on time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees