Job Title: Senior Google Cloud Platform Data Engineer – HRIT & Corporate Systems
Job Location: Juno Beach, FL
Job Type: Long Term Contract
Job Overview
We are seeking an experienced Data Engineer to join our HRIT & Corporate Services IT team. This role is critical in building and maintaining scalable data pipelines and ensuring high-quality, governed data to support analytics, automation, and AI-driven initiatives.
You will work across enterprise HR and corporate systems, leveraging Google Cloud Platform (Google Cloud Platform) to enable data-driven decision-making and support next-generation AI capabilities.
Key Responsibilities
Data Engineering & Pipelines
- Design, develop, and maintain scalable data pipelines using Google Cloud Platform services (BigQuery, Cloud Storage, Pub/Sub)
- Build batch and near real-time data ingestion frameworks
- Ensure data pipeline reliability, monitoring, and automated alerting
Data Modeling & Semantic Layer
- Develop dimensional data models and data marts for analytics and reporting
- Define and maintain consistent data definitions across HR and enterprise systems
- Resolve data inconsistencies across multiple source systems
AI & Data Enablement
- Prepare structured datasets for AI/ML use cases including RAG and LLM grounding
- Collaborate with AI/ML teams to support Vertex AI and enterprise AI initiatives
- Enable automation use cases with clean, contextual data
Data Quality & Governance
- Implement data validation, quality checks, and monitoring frameworks
- Maintain data lineage, documentation, and governance standards
- Ensure compliance with audit and regulatory requirements
Analytics & Stakeholder Collaboration
- Partner with business stakeholders to translate requirements into data solutions
- Build curated datasets for self-service analytics (BigQuery, Looker)
Required Skills & Experience
Technical Skills
- 3+ years of experience in Data Engineering or Data Integration
- Strong hands-on experience with SQL and Python
- Experience with Google Cloud Platform (BigQuery preferred) or AWS/Azure
- Familiarity with data pipeline tools (Apache Beam, Dataflow, dbt, or similar)
- Experience working with REST APIs, JSON, XML, and flat files
- Solid understanding of data warehousing and dimensional modeling
Domain Experience
- Experience working with enterprise systems such as:
- SAP SuccessFactors
- ServiceNow (HRSD)
- SAP S/4HANA
- Ability to collaborate with business and functional teams
Preferred Qualifications
- Experience with dbt for data transformation
- Knowledge of SAP CPI or integration platforms
- Exposure to AI/ML data preparation, RAG, or LLM-based solutions
- Experience in regulated industries (Finance, Healthcare, Energy)
- Google Cloud Data Engineer Certification (preferred)
Key Traits
- Strong problem-solving and analytical skills
- Data-first mindset with focus on quality and usability
- Ability to work in complex, cross-functional environments
- Proactive and detail-oriented
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