Data Engineer

Stefanini Group • Dearborn, MI

3d • Onsite

About The Position

Stefanini Group is hiring a Data Engineer in Dearborn, Michigan. This onsite role designs, builds, and maintains data solutions—including infrastructure and pipelines—to collect, store, process, and analyze large volumes of data efficiently and accurately. The work includes developing scalable data platforms and solutions for structured and unstructured data, and creating analytical tools and automation to support data engineering activities.

The role collaborates with business and technology stakeholders to understand current and future data requirements, and works to ensure optimal performance while identifying opportunities for improvement.

Requirements

• At least 4 years of data engineering work experience.
• Experience with data ingestion for all types of data, data wrangling and transformations, and landing data in BigQuery.
• Experience with stored procedures, triggers, data modeling, Qlik View, Cloud Functions, Data Fusion, Astronomer, and Airflow.
• Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
• Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot.
• Knowledge of agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and using large language models (LLMs) to automate software development and business processes.
• Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.
• Required skills in data/analytics, data modeling, data warehousing, and AI.
• A bachelor's degree or master's degree is listed as required.

Nice To Haves

• Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs.

Responsibilities

• Collaborate with business and technology stakeholders to understand current and future data requirements.
• Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.
• Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications.
• Design, implement, and maintain data platforms, such as data warehouses, data lakes, and data lakehouses, for structured and unstructured data.
• Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks.
• Ensure optimal performance and identify opportunities for improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level