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Data Engineer Finance Jobs in Reston, VA (NOW HIRING)

AI Engineer - Finance

Washington, DC · On-site

$106K - $178K/yr

Salary Range: $106,900 - $178,500 annually (salary range is based on market data; final salary ... We are seeking an AI Engineer - Finance to join the Finance Transformation and AI team, focused on ...

New

Enterprise Data Engineer

Chantilly, VA

$118K - $142K/yr

Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience. * 3+ years of experiencein data engineering. * Strong proficiency in ...

Enterprise Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience. * * 3+ years of experience in data engineering. * Strong proficiency in ...

Enterprise Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... Finance, or a related technical field, or equivalent practical experience. • 3+ years of ... experience in data engineering. • Strong proficiency in scripting and programming with Python ...

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 ...

Data Engineer

Arlington, VA

$131K - $158K/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 ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/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 ...

Data Engineer

Arlington, VA

$131K - $158K/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 ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineering - Advanced Final round F2F interview at client location Arlington VA Banking & Financial experience required. Duration of assignment? Any opportunity for conversion or extension? Q3 ...

New

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The ideal candidate must have 8+ years of hands-on data engineering experience building large-scale ... They also need a strong background in the payments or financial sector, paired with excellent ...

New

Data Engineer

Reston, VA · On-site +1

$119K - $143K/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 ...

Data Engineer

Reston, VA · On-site

$119K - $143K/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 ...

Data Engineer

Reston, VA · On-site +1

$119K - $143K/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 ...

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

XBRL & Financial Data Processing * Develop pipelines to ingest, parse, and normalize XBRL ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Data Engineer

Alexandria, VA · Hybrid

$122K - $147K/yr

ProSidian.com ProSidian Seeks a Data Engineer | Workforce Planning & Strategic Human Capital ... Skills Required Primarily focused on Management and Financial Consulting, Acquisition and Grants ...

Data Engineer

Washington, DC · On-site

$160K - $200K/yr

Data Engineer Location: Washington, DC Line of Business: Data Science Job Function: Investor ... The role demands expertise in Python, deep familiarity with financial data sources, and the ability ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Life Planning Financial & Legal Services * Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. Activities include ...

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Showing results 1-20

Data Engineer Finance information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do data engineer finance jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data engineer finance in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What does a Data Engineer in Finance do?

A Data Engineer in Finance is responsible for designing, building, and maintaining data pipelines and architectures that support the collection, storage, and analysis of financial data. They ensure that financial institutions have reliable access to accurate and timely data for analytics, reporting, and regulatory compliance. Their work often involves integrating data from multiple sources, optimizing data workflows, and collaborating with data scientists and analysts to deliver actionable insights. Data Engineers in Finance play a crucial role in enabling data-driven decision-making while ensuring data security and integrity.

How does a Data Engineer in Finance typically collaborate with analysts and other stakeholders to ensure data reliability and compliance?

Data Engineers in Finance work closely with data analysts, business intelligence teams, and compliance officers to design pipelines that deliver accurate, timely, and compliant data. Regular communication is essential to understand reporting requirements, data quality standards, and regulatory constraints. They often participate in cross-functional meetings to prioritize tasks, resolve data discrepancies, and implement controls that meet both business and legal needs. This collaboration ensures that data products not only support decision-making but also adhere to financial industry regulations.

What is the difference between Data Engineer Finance vs Data Analyst Finance?

AspectData Engineer FinanceData Analyst Finance
Primary RoleBuilds and maintains data pipelines, infrastructure, and databases for financial dataAnalyzes financial data to generate reports and insights
Skills & CertificationsSQL, Python, ETL tools, cloud platforms, data modelingExcel, SQL, data visualization tools, basic scripting
Work EnvironmentData engineering teams, IT departments, cloud environmentsFinance teams, business units, reporting platforms
Industry UsageUsed across financial institutions for data infrastructureUsed for financial reporting and decision-making

Data Engineer Finance focuses on creating and managing the data infrastructure necessary for financial data processing, while Data Analyst Finance interprets this data to provide actionable insights. Both roles are essential in financial organizations but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a Data Engineer in Finance, and why are they important?

To thrive as a Data Engineer in Finance, you need expertise in data modeling, ETL processes, and a strong foundation in SQL, Python, or Scala, often supported by a degree in computer science, information systems, or a related field. Familiarity with financial data platforms, cloud services (like AWS or Azure), and tools such as Apache Spark, Hadoop, and relevant data security certifications is common. Collaboration, attention to detail, and strong problem-solving skills are standout soft skills for this role. These abilities ensure reliable data pipelines, compliance with financial regulations, and actionable insights that support critical business decisions.
What are popular job titles related to Data Engineer Finance jobs in Reston, VA? For Data Engineer Finance jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Finance jobs in Reston, VA look for? The top searched job categories for Data Engineer Finance jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineer Finance jobs? Cities near Reston, VA with the most Data Engineer Finance job openings:
Infographic showing various Data Engineer Finance job openings in Reston, VA as of July 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 77% In-person, 13% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Lead Data Engineer (Finance Tech)

Lead Data Engineer (Finance Tech)

Capital One

Mclean, VA

Full-time

Re-posted 11 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

72nd of 145 rated banks


Job description

Lead Data Engineer (Finance Tech)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products.

By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine.

What You'll Do:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

  • Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in application development (Internship experience does not apply)

  • At least 2 years of experience in big data technologies

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • 7+ years of experience in application development including Python, SQL, Scala, or Java

  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

  • 4+ year experience working on real-time data and streaming applications

  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)

  • 4+ years of data warehousing experience (Redshift or Snowflake)

  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting

  • 2+ years of experience with Agile engineering practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead Data Engineer


McLean, VA: $197,300 - $225,100 for Lead Data Engineer


New York, NY: $215,200 - $245,600 for Lead Data Engineer


Richmond, VA: $179,400 - $204,700 for Lead Data Engineer








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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