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Internship Financial Data Engineer Jobs in Michigan

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Innotec

Operational Finance Analyst

Zeeland, MI

Collaborate cross-functionally to improve reporting, job costing visibility, and financial data ... accounting roles (internships/co-ops considered) * Exposure to cost accounting, inventory ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Engineer 2 Exp: 4+ years Data Engineering work experience Education Required: * Bachelor's Degree ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

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All JobsFinancial Data Engineer JobsInternship Financial Data Engineer JobsInternship Financial Data Engineer Jobs in Michigan

Internship Financial Data Engineer information

What are the key skills and qualifications needed to thrive as an internship financial data engineer?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

What is the difference between Internship Financial Data Engineer vs Financial Data Analyst?

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What does an internship financial data engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.
What are the most commonly searched types of Financial Data Engineer jobs in Michigan? The most popular types of Financial Data Engineer jobs in Michigan are:
What are popular job titles related to Internship Financial Data Engineer jobs in Michigan? For Internship Financial Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship Financial Data Engineer jobs in Michigan look for? The top searched job categories for Internship Financial Data Engineer jobs in Michigan are:
Internship Financial Data Engineer jobs near you

GCP Data Engineer

Stefanini Group

Dearborn, MI • On-site

$61 - $66/hr

Contractor

Re-posted 15 hours ago

Job description

Details:
Stefanini Group is hiring!
Stefanini is looking for a GCP Database Engineer(Dearborn, MI)
For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com
We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized 'golden paths' for cloud databases and the AI journey on Google Cloud Platform (GCP). You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
Job Requirements
Details:
Responsibilities
  • Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.
  • Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
  • Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.
  • Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.
  • Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.
  • Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
  • Promote well-documented, discoverable datasets.
  • Align with GDPR and HIPAA frameworks; manage GCP IAM, service accounts, role bindings, and encryption.
  • Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
  • Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
  • Enable secure CI/CD pipelines for database code and configurations.
  • Establish scalable, secure, self-service database architectures on GCP.
  • Build and maintain Terraform templates for automated provisioning and lifecycle management.
  • Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.
  • Develop complex data models and reliable ETL pipelines integrating multiple data sources.
  • Advise engineering, data, and AI teams on best practices.
  • Foster an AI-assisted, platform-first culture and mentor engineers.

Skills Required
  • GCP

Skills Preferred
  • Artificial Intelligence & Expert Systems

Experience Required
  • 6+ years of experience in IT; 4+ years in development.
  • 5+ years in database engineering with a focus on GCP AI enablement.
  • Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.
  • Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
  • Knowledge of GCP IAM, encryption, and CI/CD practices.
  • Experience building Internal Developer Platforms (IDPs).
  • GCP Professional Cloud Database Engineer or Data Engineer.
  • Proficiency in Terraform and programming (Python/Java).
  • Experience with Kubernetes (GKE) and database operators.
  • Understanding of statistical analysis, data modeling, and ML libraries.
    Education Required
  • Bachelor's Degree

Education Preferred
Certfication Program
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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Pay Range:
$ 61.00 - $ 66.00

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