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Internship Financial Data Engineer Jobs in Michigan

Spectrum Health

Data Engineer Lead

Grand Rapids, MI · Hybrid

$110K - $132K/yr

The Lead Data Engineer role executes on all aspects of data engineering solutions playing an ... Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn ...

New

Apex Systems

FS Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full Stack Data Engineer We're seeking a highly skilled and experienced Full Stack Data Engineer to ... layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K ...

New

Coric Industries LLC

Senior Data Engineer

Southfield, MI · On-site

$145K - $155K/yr

As the organization's first dedicated data engineering hire, the Senior Data Engineer partners closely with finance, sales, and operations leadership to standardize business definitions across ...

Coric Industries LLC

Senior Data Engineer

Southfield, MI · On-site

$145K - $155K/yr

As the organization's first dedicated data engineering hire, the Senior Data Engineer partners closely with finance, sales, and operations leadership to standardize business definitions across ...

Coric Industries LLC

Senior Data Engineer

Southfield, MI · On-site

$145K - $155K/yr

As the organization's first dedicated data engineering hire, the Senior Data Engineer partners closely with finance, sales, and operations leadership to standardize business definitions across ...

Ford Motor Company

Data Engineer

Dearborn, MI

$140K - $184K/yr

By partnering with dealerships, we provide financing, personalized service and professional ... Design and build production data engineering solutions to deliver reusable patterns using Google ...

IBM

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

No two projects are exactly alike-you could support healthcare, financial services, public sector ... or internships. * Ability to communicate technical findings and data-driven insights to both ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for Google Cloud Platform Data Engineer, Dearborn, MI For quick apply, please ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... 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 ...

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 ...

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Showing results 21-40

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

Internship Financial Data Engineer information

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 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 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

Data Engineer

Detroit, MI • On-site

Contact Government Services, LLC
Public Administration • 11 - 50 employees
Learn more about Contact Government Services, LLCexternal

$112K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Data Engineer 
Employment Type: Full-Time, Mid-level
Department: Business Intelligence
 
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges.
 
CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
Skills and attributes for success:
-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.
-Write code to ensure the performance and reliability of data extraction and processing.
-Support continuous process automation for data ingest.
-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.
-Work with program management and engineers to implement and document complex and evolving requirements.
-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.
 
 
Qualifications:
-Must be a US Citizen.
-Must be able to obtain a Public Trust Clearance.
-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.
-Proficiency in developing ETL processes, and performing test and validation steps.
-Proficiency to manipulate data (Python, R, SQL, SAS).
-Strong knowledge of big data analysis and storage tools and technologies.
-Strong understanding of the agile principles and ability to apply them.
-Strong understanding of the CI/CD pipelines and ability to apply them.
-Experience with relational database, such as, PostgreSQL.
-Work comfortably in version control systems, such as, Git Repositories.
 
Ideally, you will also have:
-Experience creating and consuming APIs.
-Experience with DHS and knowledge of DHS standards a plus.
-Candidates will be given special consideration for extensive experience with Python.
-Ability to develop visualizations utilizing Tableau or PowerBI.
-Experience in developing Shell scripts on Linux.
-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.
-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. 
 
Our Commitment:
Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.
 
For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
We care about our employees. Therefore, we offer a comprehensive benefits package:
-Health, Dental, and Vision
-Life Insurance
-401k
-Flexible Spending Account (Health, Dependent Care, and Commuter)
-Paid Time Off and Observance of State/Federal Holidays
 
Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
Join our team and become part of government innovation!
 
Explore additional job opportunities with CGS on our Job Board:
https://cgsfederal.com/join-our-team/
 
For more information about CGS please visit: https://www.cgsfederal.com or contact:
Email: info@cgsfederal.com
 
#CJ

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.