1

Internship Financial Data Engineer Jobs in Reston, VA

Sitting at the intersection of FP&A and Data Engineering, you will scale our financial data infrastructure, replace legacy reporting with automated pipelines, and deliver high-impact analytics ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... financial data. This role involves working closely with Capital One's data, analytics, and ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

Sitting at the intersection of FP&A and Data Engineering, you will scale our financial data infrastructure, replace legacy reporting with automated pipelines, and deliver high-impact analytics ...

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role ...

Senior Data Engineer with Security Clearance

Chantilly, VA · On-site

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role ...

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role ...

(Data Engineer)

Mclean, VA · On-site

$115K - $139K/yr

Knowledge of financial data domain and regulatory compliance. * Experience with Databricks platform. * Prior on-site work experience in McLean. Thanks & Regards Himanshu Sharma Recruitment Lead Email

... 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 ...

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

... their financial journeys and beyond. Do you love building and pioneering in the technology space ... At least 4 years of experience in application development (Internship experience does not apply)

next page

Showing results 1-20

Internship Financial Data Engineer information

See Reston, VA salary details

$14

$26

$40

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

As of Sep 15, 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 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 Reston, VA?

The most popular types of Financial Data Engineer jobs in Reston, VA are:

What are popular job titles related to Internship Financial Data Engineer jobs in Reston, VA?

For Internship Financial Data Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Internship Financial Data Engineer jobs in Reston, VA look for?

The top searched job categories for Internship Financial Data Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Internship Financial Data Engineer jobs?

Cities near Reston, VA with the most Internship Financial Data Engineer job openings:

Infographic showing various Internship Financial Data Engineer job openings in Reston, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $55,000 per year, or $26.4 per hour.

Lead Financial Data Analyst

Washington, DC • On-site

Socket.dev
Network Security • 1 - 10 employees

$145K - $165K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Meet Upside:

We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives.

The Role:

As a Lead Financial Data Analyst, you will own the translation of large operational datasets into strategic financial frameworks. Sitting at the intersection of FP&A and Data Engineering, you will scale our financial data infrastructure, replace legacy reporting with automated pipelines, and deliver high-impact analytics directly to senior leadership and cross-functional business partners.

What You’ll Do:
  • Scale Data Architecture: Partner directly with Data Engineering to design, optimize, and maintain financial data warehouses (using Snowflake).

  • Owner of Financial Datasets: Define, write, and maintain complex SQL queries and dbt models to transform raw data into clean, audit-ready financial metrics.

  • Maintain FP&A Planning Tool: Manage spend forecast and actuals data for department budget owners in planning tool (Pigment) as well as drive optimization of spend through AI exploration and trend analysis.

  • Automate Revenue Workflows: Architect automated pipelines to track key user metrics such as CAC, LTV, Payback periods, and IRR.

  • Statistical Forecasting: Leverage Python and AI to improve user cohort performance forecasting as well as merchant net revenue retention.

  • New Vertical Pricing Support: Partner with Product and Go-to-market teams to model the financial impact of new pricing models, monetization strategies, or international expansions.

  • Institutional Dashboarding: Design and build self-service dashboards (using Looker, HEX) that allow executive leadership to track real-time performance of the business.

  • Ad-Hoc Strategic Analytics: Act as analytical swat team for high-stakes business cases, evaluating corporate development opportunities or M&A modeling.

What You’ll Need:
  • The Technical Core: 7+ years of experience in FP&A or Strategic Finance at a high-growth SaaS/Tech company

  • Databases & Querying: Advanced SQL mastery (window functions, CTEs, query optimization). Experience with Snowflake, AWS, and HEX.

  • Data Pipelines: Experience using dbt for data transformation, or basic workflow orchestration with Airflow.

  • Programming: High proficiency in Python (Pandas, NumPy) and automating financial workflows.

  • Business Intelligence: Expert-level creation of dynamic reporting layers in Looker, HEX, and/Pigment.

  • Traditional Finance: Advanced knowledge of tech unit economics (LTV, CAC, Payback Period, Churn) and corporate finance fundamentals.

The fine print:

Location: This hybrid role is based in our Austin, Chicago, DC, or NYC office. In‑office attendance is required on Monday, Tuesday, and Thursday and may increase based on project‑based needs and changes to Upside’s in‑office policy over time.

Compensation: The U.S. base salary range for this full‑time position varies by work location:

  • Tier 1: NYC $160,000 – $180,000

  • Tier 2: Austin, Chicago, Washington, DC $145,000 – $165,000

In addition to base salary, this position is also eligible for equity and benefits.

The final starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range for your location during the hiring process.

#LI-Hybrid

Benefits:

  • Medical, dental, and vision coverage starting on Day 1

  • Equity (ISOs)

  • 401(k) program

  • Family planning programs + paid parental leave

  • Physical fitness and wellness memberships

  • Emotional and mental health support programs

  • Unlimited PTO + 10 paid federal holidays + our annual, week‑long Winter Break

  • Flexible work environment

  • Lunch reimbursement for in‑office employees

  • Employee Resource Groups

  • Learning and Development stipend

  • Transparent culture

  • Amazing mission!

Diversity and Inclusion:

Diversity drives innovation, and our differences make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here!

If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com.

This email is for accessibility accommodations only, it should not be used to submit job applications.

Notice To Recruiters And Placement Agencies:

This is an in‑house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

#J-18808-Ljbffr