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Internship Financial Data Engineer Jobs in Reston, VA

Analytica

Data Engineer

Washington, DC · On-site

$129.20K - $155.10K/yr

... internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ... Mid-Level Data Engineer: * Hands-on experience building and maintaining data pipelines using ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

... world financial applications. You will work with a modern tech stack including AWS, Spark, and ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

... world financial applications. You will work with a modern tech stack including AWS, Spark, and ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

... financial empowerment * Perform unit tests and conduct reviews with other team members to make sure ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

... financial empowerment * Perform unit tests and conduct reviews with other team members to make sure ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

... financial empowerment * Perform unit tests and conduct reviews with other team members to make sure ... At least 4 years of experience in application development (Internship experience does not apply)

VTG

Data Engineer

Chantilly, VA

$118.30K - $142.10K/yr

The Data Engineer will also integrate with external systems via API, parse API responses into ... Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

... financial empowerment * Perform unit tests and conduct reviews with other team members to make sure ... At least 4 years of experience in application development (Internship experience does not apply)

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

... financial empowerment * Perform unit tests and conduct reviews with other team members to make sure ... At least 4 years of experience in application development (Internship experience does not apply)

Elder Research

Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics * Collaborate with data scientists and ...

Elder Research

Data Engineer

Arlington, VA

$131.70K - $158.20K/yr

Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics * Collaborate with data scientists and ...

Elder Research

Data Engineer

Arlington, VA

$131.90K - $158.40K/yr

Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics * Collaborate with data scientists and ...

VTG

Data Engineer

Chantilly, VA · On-site

$118.30K - $142.10K/yr

The Data Engineer will also integrate with external systems via API, parse API responses into ... Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ... Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions ...

Level Up Llc

Data Engineer

Reston, VA · On-site

$119.30K - $143.30K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ... Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/yr

As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation ... Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions ...

Innova Solutions, Inc

Data Engineer

Mclean, VA

$67 - $75/hr

McLean, VA (Hybrid) Data Engineer, you will: Designing, building, and maintaining scalable data ... Ensure data quality, reliability, security, and compliance (especially financial data standards)

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Internship Financial Data Engineer information

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$14

$26

$40

How much do internship financial data engineer jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship financial data engineer in Reston, VA is $26.44, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $30.00 per hour, depending on experience, location, and employer.

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 Reston, VA? The most popular types of Financial Data Engineer jobs in Reston, VA are:
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Internship Financial Data Engineer jobs near you
Infographic showing various Internship Financial Data Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $55,000 per year, or $26.4 per hour.
Data Engineer

Data Engineer

Analytica

Washington, DC • On-site

$129.20K - $155.10K/yr

Full-time

Medical, Retirement

Posted 11 days ago

Job description

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.
The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.
Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.
Responsibilities include (but are not limited to):
  • Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
  • Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
  • Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
  • Collaborate with stakeholders to translate business requirements into technical data solutions
  • Ensure data quality, integrity, and performance through testing, monitoring, and optimization
  • Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
  • Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
  • Apply data governance, security, and metadata management best practices

Qualifications (aligned to expertise level):
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
  • Experience working across cloud (AWS, Azure) or hybrid data environments
  • Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level
  • US Citizenship and must be able to obtain and maintain security clearance
  • Emerging / Junior Data Engineer:
    • Foundational knowledge of SQL and Python (or similar language)
    • Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
    • Understanding of basic data modeling and ETL/ELT concepts
    • Ability to work within established pipelines and contribute to data workflows with guidance
  • Mid-Level Data Engineer:
    • Hands-on experience building and maintaining data pipelines using Databricks and Spark
    • Strong SQL and programming skills (Python and/or Scala)
    • Experience designing data models and optimizing data processing workflows
    • Ability to independently deliver data solutions and troubleshoot performance issues
  • Senior Data Engineer:
    • Deep expertise in Databricks, Spark, and large-scale data processing architectures
    • Proven ability to design and implement scalable data platforms and lakehouse architectures
    • Strong experience with performance tuning, data reliability, and cost optimization
    • Ability to lead technical design, mentor team members, and influence data engineering best practices
    • Experience working cross-functionally to define data strategy and architecture
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

Preferred Qualifications:
  • Experience with Delta Lake and lakehouse architecture pattern
  • Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
  • Experience with data governance, cataloging, and lineage tools
  • Experience mentoring junior engineers or leading technical initiatives (senior level)
  • Relevant certifications in data engineering or big data technologies particularly in Databricks

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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