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Data Engineer - Job Opportunity at Stefanini, Inc

Dearborn, United States
Contract
Senior
Posted: April 20, 2025
Hybrid
USD 133,120 - 143,520 per year

Key Responsibilities

Lead technical implementation of data engineering solutions within an agile environment, focusing on enterprise-scale data architecture and integration
Drive technical excellence and best practices across data engineering teams while mentoring junior engineers
Collaborate with product managers and stakeholders to deliver iterative solutions aligned with business objectives
Architect and implement cloud-based data solutions utilizing GCP services and modern data engineering practices
Establish and maintain CI/CD pipelines and DevOps practices for data infrastructure

Requirements

Education

Bachelor's degree in Computer Science, Information Technology, or equivalent experience

Experience

5+ years of work experience in data Engineering skill set

Required Skills

GCP (Big Query) Vertex AI Cloud Storage Jenkins Maven Gradle GitHub Teradata Hadoop DevOps Cloud computing Distributed systems OO Design Principles
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Sauge AI Market Intelligence

Industry Trends

The shift towards cloud-native data engineering solutions, particularly on GCP, reflects a broader industry movement away from traditional on-premise data warehousing. This role's focus on GCP services indicates Stefanini's strategic alignment with modern data architecture practices. The emphasis on DevOps and CI/CD in data engineering positions signals the industry's continued convergence of data engineering with software engineering best practices, making this a highly contemporary role. The requirement for experience with both traditional (Teradata) and modern (BigQuery) technologies suggests a transition period, likely supporting legacy system migration projects.

Salary Evaluation

The offered salary range of $133-144K annually is competitive for a senior data engineer in the Detroit metropolitan area, though slightly below similar roles in major tech hubs. This reflects the regional market dynamics while remaining attractive for the local talent pool.

Role Significance

Based on the mentorship requirements and project scope, this role likely operates within a team of 5-8 data engineers, potentially leading a sub-team of 2-3 junior engineers.
This is a senior-level position with significant technical leadership responsibilities, including mentoring and establishing best practices.

Key Projects

Cloud data platform migration and modernization initiatives Enterprise data integration and pipeline development Machine learning infrastructure development supporting Vertex AI implementations Legacy system integration and modernization projects

Success Factors

Strong foundation in both traditional and cloud-native data engineering technologies Ability to balance technical leadership with hands-on development Experience in agile methodology and iterative development practices Proven track record in mentoring and growing technical teams

Market Demand

Very High - The combination of cloud expertise and traditional data engineering skills represents a highly sought-after profile in the current market, particularly as enterprises accelerate their digital transformation initiatives.

Important Skills

Critical Skills

GCP expertise, particularly with BigQuery and Vertex AI, is essential for the cloud-first data strategy DevOps and CI/CD experience indicates a modern approach to data engineering Strong software engineering principles suggesting a sophisticated data platform

Beneficial Skills

Experience with automotive industry data systems Knowledge of data governance and compliance frameworks Familiarity with machine learning operations (MLOps)

Unique Aspects

Combination of automotive industry exposure and cutting-edge cloud technologies
Focus on pair programming indicates strong emphasis on code quality and knowledge sharing
Opportunity to work with both legacy systems and modern cloud platforms

Career Growth

2-3 years in role before advancement, depending on project success and leadership development

Potential Next Roles

Lead Data Engineer Data Architecture Manager Technical Product Manager - Data Platforms Cloud Architecture Lead

Company Overview

Stefanini, Inc

Stefanini is a global IT services provider with a strong focus on digital transformation and technology consulting, operating at CMM level 5.

Mid-tier global IT services provider competing with larger consulting firms through specialized technical expertise and regional presence.
Strong presence in the automotive sector given the Dearborn location, likely supporting major automotive clients in the region.
Matrix organization with a mix of project-based and product-focused teams, emphasizing agile methodologies and continuous learning.
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