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Internship Financial Data Engineer Jobs in Maryland

Jr. Data Engineer

Rockville, MD · On-site

$53K - $60K/yr

... internship experience, research experience, academic project experience, or equivalent hands-on ... modern data engineering, cloud technologies, AI-first development, and data platforms ...

... internship experience, research experience, academic project experience, or equivalent hands-on ... modern data engineering, cloud technologies, AI-first development, and data platforms ...

Jr. Data Engineer

Rockville, MD · On-site

$53K - $60K/yr

... internship experience, research experience, academic project experience, or equivalent hands-on ... modern data engineering, cloud technologies, AI-first development, and data platforms ...

Data Engineer

Fort George G Meade, MD · On-site

$125 - $150/hr

R0241771 The opportunity for a senior data engineer who can turn data into insight for ... Compensation Our offerings include health, life, disability, financial, and retirement benefits, as ...

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Data Engineer

Columbia, MD · Hybrid

$138K - $185K/yr

Data Engineer Required Qualifications * A current U.S. Government Secret Security Clearance is ... Life and disability insurance * 401(k) and financial planning support * Paid time off and holidays

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Experience in the asset management or financial services industry. * Familiarity with CI/CD ... Industry certifications in cloud or data engineering technologies. * Knowledge of data privacy ...

Data Engineer

California, MD · On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... About Manulife and John Hancock Manulife Financial Corporation is a leading international financial ...

Data Engineer, Mid

Bowie, MD · On-site

$77K - $176K/yr

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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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 Maryland?

The most popular types of Financial Data Engineer jobs in Maryland are:

What job categories do people searching Internship Financial Data Engineer jobs in Maryland look for?

The top searched job categories for Internship Financial Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Internship Financial Data Engineer jobs?

Cities in Maryland with the most Internship Financial Data Engineer job openings:

Sr. Data Engineer - FCP Tech

Federal Capital Partners

Chevy Chase, MD • On-site

$100 - $125/hr

Other

Re-posted 19 days ago


Job description

Real estate private equity is an exciting industry with the power to shape communities and change the built environment. FCP’s technology team is at the forefront of this transformation, leveraging AI, automation, and modern data platforms to drive smarter investment decisions and operational excellence. This role offers a unique opportunity to work directly with firm leadership, industry experts, and cutting‑edge tools to make a measurable impact on the business.

FCP is a leading real estate investment company that has invested in or financed more than $12.5 billion in assets since its founding in 1999. We are seeking an experienced Sr. Data Engineer to join our Washington, DC team. This is a rare opportunity to help build and scale a modern data and AI platform at a high‑performing real estate private equity firm.

YOUR IMPACT:

As a Sr. Data Engineer, you will support our business lines, clients and investment decisions by:

  • Design and develop AI‑assisted data pipelines, semantic models, and Power BI reports to support investment decisions and operations
  • Build, automate, and maintain data ingestion pipelines using Microsoft Fabric Data Factory and Python
  • Develop automated financial data analysis workflows and reporting solutions that leverage AI and machine learning capabilities
  • Integrate and govern disparate financial and operational data sources within FCP’s Microsoft Fabric lakehouse environment
  • Lead data quality, reconciliation, and lineage initiatives across investment, financial, and asset management datasets
YOUR QUALIFICATIONS:
  • Bachelor’s degree or advanced degree in Engineering or Computer Science with excellent academic credentials
  • Minimum of 4 years of relevant work experience
  • Minimum of 2 years of experience building and deploying data engineering solutions on cloud platforms (Azure preferred)
  • Minimum of 2 years of relevant data analytics work experience
  • Minimum of 2 years of experience with python and associated data libraries
  • Minimum of 2 years of experience with databases & queries
  • Ability to analyze qualitative and quantitative information and translate into strategic deliverables
  • Ability to work independently and within a team
  • Experience working in Microsoft Azure and/or Microsoft Fabric; familiarity with AI services such as Azure OpenAI strongly preferred
  • Excellent written and oral communication skills
  • Experience in presenting ideas and analysis to groups and leadership
  • Motivated self-starter with effective time management skills and strong attention to detail
  • A desire to work within a fast‑paced, collaborative, and entrepreneurial environment
  • Experience or previous interest in Real Estate strongly preferred
  • Required Technical Skills:
    • Excel (Complex Formulas, PivotTables, Formatting)
    • Microsoft Fabric (Lakehouse, Data Factory, Notebooks)
    • Python
    • SQL
    • Power BI & DAX
  • Preferred Technical Skills:
    • Azure OpenAI & AI Services
    • Databricks
    • JavaScript/HTML/CSS
    • LangChain or other AI/LLM orchestration frameworks
    • Financial Modeling
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