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Skills

MI
Marketing Intelligence
Storage
Productivity
Unstructured Data
Business Intelligence
Scripting
Optimization
Continuous Improvement
Data Wrangling
Database
Collaboration
Analytics
Reporting
Agile
Design Review
Production Support
Data Management
Fusion
Stored Procedures
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Stakeholder Management
Workflow
Large Language Models (LLMs)
Software Development
Testing
Debugging
Documentation
Data Engineering
Data Warehouse
Data Modeling
SQL
Extract
Transform
Load
ELT
Google Cloud
Google Cloud Platform
Cloud Computing
Data Architecture
Vertex
GitHub
Artificial Intelligence
Qlikview
Apache Airflow
Computer Science
Information Technology
Data Analysis
Marketing Communications

MI
Marketing Intelligence
Storage
Productivity
Unstructured Data
Business Intelligence
Scripting
Optimization
Continuous Improvement
Data Wrangling
Database
Collaboration
Analytics
Reporting
Agile
Design Review
Production Support
Data Management
Fusion
Stored Procedures
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Stakeholder Management
Workflow
Large Language Models (LLMs)
Software Development
Testing
Debugging
Documentation
Data Engineering
Data Warehouse
Data Modeling
SQL
Extract
Transform
Load
ELT
Google Cloud
Google Cloud Platform
Cloud Computing
Data Architecture
Vertex
GitHub
Artificial Intelligence
Qlikview
Apache Airflow
Computer Science
Information Technology
Data Analysis
Marketing Communications

Summary

Location: Dearborn, Michigan
Type: Contract
Job #105511

Data Engineer II
Location: Dearborn, MI
Duration: 1+ YEAR
Rate : $63.00
Contract Role : 40 hours weekly full-time

Overview
We are seeking a Data Engineer II to join a high-performing data and analytics team focused on building and supporting scalable cloud-based data solutions. This role will be responsible for designing, developing, and maintaining data pipelines, data platforms, and analytical solutions that enable efficient collection, transformation, storage, and analysis of enterprise data.
The ideal candidate will have experience working within Google Cloud Platform (Google Cloud Platform) environments, building modern data architectures, and leveraging AI-assisted development tools to improve productivity and accelerate delivery.

Key Responsibilities

Partner with business and technology stakeholders to understand current and future data requirements.
Design, develop, and maintain scalable and reliable data pipelines for ingesting, transforming, and delivering large volumes of structured and unstructured data.
Build and support enterprise data solutions including data warehouses, data lakes, and lakehouse architectures.
Develop data models that support reporting, analytics, and advanced business intelligence initiatives.
Create and maintain ETL/ELT processes to ensure high-quality, accessible, and trusted data.
Develop scripts, automation tools, and reusable frameworks to streamline data engineering activities.
Monitor data platform performance and proactively identify opportunities for optimization and continuous improvement.
Support data ingestion, data wrangling, transformation, and loading activities into Google BigQuery.
Design and maintain stored procedures, triggers, and database objects to support enterprise applications and analytics.
Collaborate with analytics and reporting teams to support solutions utilizing QlikView and other reporting platforms.
Build and support cloud-native solutions using Google Cloud services and modern data technologies.
Participate in Agile development activities including planning, design reviews, testing, deployment, and production support.

Required Qualifications

4+ years of professional Data Engineering experience.
Experience designing and supporting enterprise data warehouse solutions.
Strong understanding of data modeling concepts and best practices.
Hands-on experience with data ingestion, transformation, and BigQuery data management.
Experience developing and maintaining ETL/ELT pipelines.
Experience with:
- Google Cloud Platform (Google Cloud Platform)
- BigQuery
- Cloud Functions
- Data Fusion
- Apache Airflow
- Astronomer
- QlikView
- SQL
- Stored Procedures & Triggers
Experience building and deploying cloud-native applications within Google Cloud Platform environments.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.

Preferred Qualifications

Experience leveraging AI-assisted development tools such as:
- Gemini Code Assist
- GitHub Copilot
- OpenCode
Knowledge of Agentic AI concepts, including:
- AI Agents
- Autonomous Workflows
- Multi-Agent Systems
- Large Language Models (LLMs)
Experience integrating AI tools into the software development lifecycle for code generation, testing, debugging, documentation, and automation.
Familiarity with Google AI services including:
- Vertex AI
- Gemini Models
- Google AI APIs

Required Skills

Data Engineering
Data Warehousing
Data Modeling
SQL Development
ETL / ELT Development
Google Cloud Platform (Google Cloud Platform)
BigQuery
Cloud Data Architecture

Preferred Skills

Vertex AI
Gemini
GitHub Copilot
Agentic AI
QlikView
Apache Airflow
Astronomer

Education

Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field preferred.
Equivalent combination of education and relevant work experience will be considered.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111081
Position Id: f3fc9328590e5aa1aeecec6a8a2701d
Posted 11 hours ago

Data engineer with Google Cloud Platform (Only W2)

Hybrid in Dearborn, Michigan

•

2d ago

Data Engineering Engineer 2 Dearborn, MI (Resources will be in office4 days a week in Dearborn, MI) 12 month contract. Job Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: Collaborate with business and technology stakeholders to understand current and future da

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Data Engineering Engineer 2

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