Data Engineer, GCP, HR systems (onsite)

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.