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Internship Financial Data Engineer Jobs in Iowa (NOW HIRING)

1 point system

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

... financial systems. AI & Advanced Analytics (1-2 Years Preferred) * Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows. * Practical knowledge of ...

Apex Systems

Data Engineer

Johnston, IA · On-site +1

$60 - $75/hr

Job#: 3028821 Data Engineer Location: Johnston, Iowa (Remote) Employment Type: Contract Role ... layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K ...

Aegon

Lead Data Engineer

Cedar Rapids, IA

$112.10K - $134.60K/yr

These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection ... Summary The Lead Data Engineer is responsible for the design, architecture and support of systems ...

Transamerica

Lead Data Engineer

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection ... Summary The Lead Data Engineer is responsible for the design, architecture and support of systems ...

Principal Financial Group

Sr Data Engineer I

Des Moines, IA · On-site

$111.70K - $134.20K/yr

Knowledge of financial services products, processes and business unit applications preferred * Ability to work directly with data and datastores through programming language such as SQL, Python ...

Holmes Murphy

Data Engineer

West Des Moines, IA

$112.40K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines ... only with your financial wellbeing, but also your career wellbeing. * Discretionary bonus ...

Holmes Murphy

Data Engineer

West Des Moines, IA · On-site

$112.40K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines ... only with your financial wellbeing, but also your career wellbeing. * Discretionary bonus ...

Serco

Data Engineer-Washington DC

Bettendorf, IA · On-site

$74K - $98.70K/yr

Serco has an exciting opportunity for a Data Engineer/Scientist to support U.S. Navy's Team ... include internships, undergraduate work, and graduate assistantships.) * 5 years of group ...

Aegon

Senior Data Engineer

Cedar Rapids, IA · Hybrid

$95K - $115K/yr

These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection ... Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ...

Transamerica

Senior Data Engineer

Cedar Rapids, IA · On-site

$95K - $115K/yr

These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection ... Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ...

1 point system

Data Engineer

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

Establishing data pipelines from source systems to target systems (ETL tools) b. Writing T-SQL ... Basic understanding of Financial Reporting concepts and terms.

Deloitte

AI Data Engineer - Senior Consultant

Des Moines, IA · On-site

$103.40K - $140.50K/yr

Responsibilities : • Partner with the Lead AI Solutions Architect and AI Data Engineer to ... Company : Deloitte is a business consulting company that offers audit, consulting, financial ...

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Internship Financial Data Engineer information

What are the key skills and qualifications needed to thrive as an Internship Financial Data Engineer, and why are they important?

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 types of projects and responsibilities can an Internship Financial Data Engineer expect during their internship?

As an Internship Financial Data Engineer, you can expect to work on projects involving data extraction, transformation, and loading (ETL) processes related to financial datasets. You may assist in developing pipelines to clean and aggregate data from multiple sources, contribute to building data models, and support the analytics team with data validation. Regular collaboration with data scientists, senior engineers, and financial analysts is common, providing valuable exposure to both technical and business aspects of finance. This hands-on experience not only strengthens your programming and data skills but also helps you understand how data drives decision-making in financial organizations.

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 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 Iowa? The most popular types of Financial Data Engineer jobs in Iowa are:
What are popular job titles related to Internship Financial Data Engineer jobs in Iowa? For Internship Financial Data Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Internship Financial Data Engineer jobs in Iowa look for? The top searched job categories for Internship Financial Data Engineer jobs in Iowa are:
What cities in Iowa are hiring for Internship Financial Data Engineer jobs? Cities in Iowa with the most Internship Financial Data Engineer job openings:
Internship Financial Data Engineer jobs near you

AWS Data Engineer (Financial)

1 point system

Cedar Rapids, IA • On-site

$112.10K - $134.60K/yr

Contractor

Posted 14 days ago

Job description

Experience Level: 3–4 years in a technical role within Financial Reporting identifying data sources, creating data pipelines, optimizing database performance and maintaining data pipelines.
We are looking for an AI first mindset to meet the evolving needs of our business, which will require research and learning of AI tools and concepts at work and outside of work.
Core Technical Skills

  • AWS Data Services:
    • Amazon Athena and/or Redshift: Experience designing schemas, loading data, and optimizing performance for analytical workloads.
    • Amazon S3: Working knowledge of S3 bucket structures, data organization, lifecycle management, and integration with downstream analytics platforms.
    • Glue Jobs: To create Data Pipelines with ETL capabilities.
  • Database Design & Development: Proven experience designing, optimizing, and maintaining relational data models to support reporting and analytics use cases in the Insurance and/or Financial Services industry.
  • T‑SQL: Strong proficiency writing, tuning, and troubleshooting complex T‑SQL queries, stored procedures, and views.
  • ETL & Data Integration: Hands‑on experience with ETL tools and frameworks to ingest, transform, and validate data from multiple source systems.
  • Data Pipeline Creation: Demonstrated ability to build and maintain reliable, scalable, and automated data pipelines with appropriate monitoring and error handling.
  • BI & Reporting Tools:
    • Power BI: Experience developing datasets, semantic models, dashboards, and reports for business and finance stakeholders.
    • Smart View: Familiarity using Smart View for financial reporting, analysis, and integration with EPM or financial systems.

AI & Advanced Analytics (1–2 Years Preferred)

  • Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows.
  • Practical knowledge of grounding large language models (LLMs) to structured data stores, such as databases, data warehouses, or curated datasets.
  • Understanding of data quality, security, and governance considerations when integrating AI solutions with enterprise data.

Domain Expertise (Strong Preference)

  • Deep understanding of Financial Reporting concepts and processes.
  • Insurance and/or Financial Services industry experience strongly preferred, including familiarity with:
    • Oracle ERP/EPM modules
    • Expense Data, Capital Data, and Sales Data
    • Financial statements and regulatory reporting
    • Data controls, reconciliations, and audit considerations
    • Complex financial data models and hierarchies

Soft Skills & Work Style

  • Strong analytical and problem‑solving skills with attention to detail.
  • Ability to collaborate effectively with finance, reporting, and technology teams.
  • Clear communication skills, especially when translating technical concepts for business stakeholders.
  • Comfortable working in a fast‑paced, contract‑to‑hire environment with an emphasis on delivering production‑ready solutions.