Data Engineer (Google Cloud Platform & AI)

Everforth Apex is recruiting for an undisclosed client seeking a Data Engineer II to build and maintain scalable data infrastructure, pipelines, and analytics solutions. The role focuses on Google Cloud Platform and BigQuery data engineering, with AI-assisted development and Agentic AI capabilities incorporated into workflows.

Consulting

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• Recruiting
• Staffing Agency
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• 2 email credits available today
• Beyond your network
• Kritika Rathore
• HR Manager
• From your previous company
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• from your School

Responsibilities

• Collaborate with business and technology stakeholders to understand current and future data requirements
• Design, build, and maintain reliable, efficient, and scalable data infrastructure
• Develop and maintain data pipelines, data models, and applications supporting efficient and reliable data workflows
• Build solutions for data ingestion, transformation, and data wrangling, including loading data into BigQuery
• Design, implement, and maintain modern data platforms, including data warehouses, data lakes, and lakehouse architectures, supporting structured and unstructured data
• Develop analytical tools, scripts, algorithms, and automation to support data engineering processes
• Develop and maintain stored procedures and triggers supporting data processing requirements
• Work with Google Cloud Platform technologies and services, including Cloud Functions and Cloud Data Fusion
• Support workflow orchestration using Apache Airflow and Astronomer
• Work with QlikView and other data and analytics technologies as needed
• Monitor and optimize data solutions for performance, reliability, scalability, and efficiency
• Incorporate AI-assisted development tools, including Gemini Code Assist, OpenCode, and GitHub Copilot, into development workflows
• Apply AI capabilities to activities such as code generation, debugging, testing, documentation, and developer productivity
• Develop an understanding of and work with Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and large language models (LLMs)
• Leverage or support Google Cloud Platform AI capabilities such as Vertex AI, Gemini models, and AI APIs, where applicable

Preferred

• Experience with Google Cloud Platform Cloud Functions
• Experience with Cloud Data Fusion
• Experience with Apache Airflow and/or Astronomer
• Experience developing stored procedures and triggers
• Experience with QlikView
• Familiarity with Vertex AI, Gemini models, and other Google Cloud Platform AI APIs/services

Benefits

• Medical, dental, vision, life, disability, and other insurance plans offering an optional layer of financial protection.
• Employee stock purchase program (ESPP).
• 401K program; employees can typically contribute within 30 days of starting, with a company match after 12 months of tenure.
• Health Savings Account (HSA) on the HDHP plan.
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions.
• Corporate discount savings program and other discounts.
• On-demand training program.
• Access to certification prep and a library of technical and leadership courses, books, and seminars once you have 6+ months of tenure.
• Certification discounts and other perks through associations including CompTIA and IIBA.
• Dedicated customer service team for consultants to address questions about benefits and other resources.
• Certified Career Coach.
• Dice is the go-to career marketplace for tech professionals.
• Centennial, Colorado, USA
• https://www.or-quest.nl/
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Trends of Total Sponsorships
• *2022
• (2)
• 2021
• (4)
• 2020
• (5)
• Growth Stage
• Leadership Team
• Daniel Hinck
• Client Success Partner

Qualifications

• Bachelor's or Master's degree
• 4+ years of professional Data Engineering experience
• Strong experience with: + Data engineering and analytics + Data modeling + Data warehousing + Data ingestion and transformation + Google Cloud Platform + BigQuery
• Experience with Google Cloud Platform services and cloud-native application development and deployment
• Working knowledge of AI-assisted development tools, such as: + Gemini Code Assist + GitHub Copilot + OpenCode
• Mid-level knowledge of AI and Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and LLM-based solutions
• Experience integrating AI tools into software development workflows, including code generation, debugging, testing, or documentation
• Experience with Google Cloud Platform Cloud Functions
• Experience with Cloud Data Fusion
• Experience with Apache Airflow and/or Astronomer
• Experience developing stored procedures and triggers
• Experience with QlikView
• Familiarity with Vertex AI, Gemini models, and other Google Cloud Platform AI APIs/services
• 4+ years of professional Data Engineering experience.

Required skills

• Agentic AI, BigQuery, Data Analytics, Data Engineering, Data Ingestion and Transformation, Data Modeling, Data Warehousing, Gemini Code Assist, GitHub Copilot, Google Cloud Platform, Large Language Models (LLMs), OpenCode

Preferred skills

• Experience developing stored procedures and triggers, Experience with Apache Airflow and/or Astronomer, Experience with Cloud Data Fusion, Experience with Google Cloud Platform Cloud Functions, Experience with QlikView

Experience

• 4+ years