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Internship Financial Data Engineer Jobs in Iowa (NOW HIRING)

NCMIC

Data Analyst III

Clive, IA · On-site

Partners closely with Data Engineers to ensure accurate implementation within established data ... Industry knowledge in insurance or financial services preferred. Skills: * Advanced proficiency in ...

NCMIC

Data Analyst III

Clive, IA · On-site

Partners closely with Data Engineers to ensure accurate implementation within established data ... Industry knowledge in insurance or financial services preferred. Skills: * Advanced proficiency in ...

SHAZAM

Data Architect

Johnston, IA · On-site

$120K - $170K/yr

SHAZAM recognizes that financial institutions build better communities, and this drives our passion ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, along ...

Shazam

Data Architect

Johnston, IA · On-site

$120 - $170/hr

... financial institutions build better communities, and this drives our passion to strengthen ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, along ...

GreatAmerica Financial Services

Data Architect

Cedar Rapids, IA · On-site

$62.50 - $80.25/hr

GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment ... Collaborate with DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams ...

LattaHarris

2027 Spring Internship

Iowa City, IA · On-site

$14 - $17.50/hr

LattaHarris Internship Position Purpose: The internship with LattaHarris offers a unique ... with data entry tasks including, but not limited to inputting financial transactions into ...

New

LattaHarris, LLP

2027 Spring Internship

Iowa City, IA

$14 - $17.50/hr

The internship with LattaHarris offers a unique opportunity to gain hands-on experience in the ... with data entry tasks including, but not limited to inputting financial transactions into ...

New

Kyyba Inc

Quality Engineer

Waterloo, IA · On-site

$71K - $91K/yr

Degree in Technology, Engineering, Communications, Business, Computer Science, and/or Data Analytics. Open to recent grad candidates with manufacturing internships.

New

Tuba Group, Inc.

Be Seen First

Accounting Clerk

Des Moines, IA · On-site

$35K - $45K/yr

Maintain and update accounting records, ensuring accuracy and completeness of financial data ... engineering, administrative, management, and subject matter expertise. Our mission is to provide ...

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

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.
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Internship Financial Data Engineer jobs near you

Data Analyst III

NCMIC

Clive, IA • On-site

Full-time

Re-posted 5 days ago

Job description

Position Purpose:   

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical implementation.

Acts as the primary analytical owner for reporting and data initiatives, translating business needs into structured data definitions and validation logic. Partners closely with Data Engineers to ensure accurate implementation within established data models and architectural standards.

Independently leads small to medium initiatives and contributes significantly to larger efforts by bringing forward well-developed recommendations and risk assessments prior to implementation.

Essential Functions:

 

Gathers and defines reporting and data requirements in collaboration with managers and operational stakeholders. Translates business needs into data definitions, transformation rules, validation criteria, and reporting specifications. Ensures requirements are complete and testable prior to development.

 

Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy. Reconciles discrepancies and confirms adherence to defined business rules. Collaborates with Data Engineers to resolve issues and refine logic as needed.

  

Coordinates and executes UAT efforts to confirm solutions meet defined functional and data accuracy requirements. Documents findings and ensures corrections are addressed prior to production release.

 

Traces data flow across systems to assess downstream impacts of new data elements or definition changes. Identifies risks and dependencies and communicates findings and recommendations as appropriate.

Reinforces enterprise data definitions, naming conventions, and documentation practices. Identifies inconsistencies in business logic and recommends improvements. Provides mentorship and peer guidance as the analyst function grows.

 

Performs other duties as assigned.

 

Requirements:

Education:   Bachelor’s degree in Business Administration, Computer Science, Management Information Systems, or related field; or equivalent combination of education and experience.

Experience: 

  • 4–6 years in data analysis, reporting, or data warehouse environments with increasing responsibility.
  • Demonstrated leadership in requirements gathering and user acceptance testing efforts.
  • Proven ability to validate and reconcile data within ETL or warehouse solutions.
  • Strong track record translating business rules into structured data definitions and technical specifications.
  • Industry knowledge in insurance or financial services preferred.

Skills: 

  • Advanced proficiency in SQL and strong working knowledge of relational and warehouse data environments.
  • Ability to define, document, and validate business data logic with precision.
  • Demonstrated strength in structured problem-solving, impact analysis, and issue resolution.
  • Effective communicator capable of engaging technical teams and business stakeholders.
  • Demonstrates accountability and sound judgment while managing multiple concurrent initiatives.

Mental Demands: Ability to analyze complex business and data scenarios with limited direction. Ability to interpret requirements, evaluate alternatives, and identify root causes through structured problem-solving. Must be able to manage multiple initiatives, communicate findings clearly, and maintain a high level of accuracy while working under deadlines. Ability to adapt to changing priorities and collaborate effectively with technical and business stakeholders.

Physical Demands: Continuous sitting for extended periods of time, some standing, walking, bending and reaching. Frequent use of fingers and hands to manipulate computer, telephone and other office equipment. Ability to be able to look and concentrate at a computer screen/monitor for extended periods of time.

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