Data Engineer (GCP & AI)

Job ID: 3056372 | Hybrid — 4 days/week onsite in SE MI | Long-Term Contract

About the role

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 (GCP), BigQuery, data pipelines, data modeling, and data warehousing, along with practical knowledge of AI-assisted development tools and Agentic AI concepts.

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 GCP 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 GCP AI capabilities such as Vertex AI, Gemini models, and AI APIs, where applicable.

Requirements

• 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, GCP, BigQuery.
• Experience with GCP 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.

Qualifications

• Experience with GCP 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 GCP AI APIs/services.

Benefits

• Medical, dental, vision, life, disability, and other insurance plans.
• Employee Stock Purchase Program (ESPP).
• 401(k) with 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/seminars after 6+ months of tenure.
• Certification discounts and perks for associations including CompTIA and IIBA.
• Dedicated customer service team for consultants.
• Certified Career Coach.

Pay

$50 – $70 per hour (negotiable based on experience)

Schedule

Hybrid — 4 days per week onsite in Southeast Michigan