Data Engineer (Google Cloud Platform & AI)

Job#: 3056372
Job Description:
Role: Data Engineer (Google Cloud Platform & AI)
Location: Hybrid - 4 days/week onsite in SE MI
Duration: Long-Term Contract
Pay Rate: $50 - $70 (negotiable based on experience)
Description:
We are seeking a Data Engineer II to design, build, and maintain scalable data solutions and infrastructure that support the collection, storage, transformation, processing, and analysis of large volumes of data.
The ideal candidate will have strong hands-on experience with Google Cloud Platform (Google Cloud Platform), BigQuery, data pipelines, data modeling, and data warehousing, along with practical knowledge of AI-assisted development tools and Agentic AI concepts.
Key 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.

Required 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.

Preferred Qualifications

• 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.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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