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Data Engineer Finance Jobs in Virginia (NOW HIRING)

McKesson

Data Engineer, Finance Data & BI

Richmond, VA · Hybrid

$130K - $140K/yr

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

McKesson

Data Engineer, Finance Data & BI

Richmond, VA · Hybrid

$130K - $140K/yr

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

VTG

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 experiencein data engineering. * Strong proficiency in ...

VTG

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 experiencein data engineering. * Strong proficiency in ...

VT Group (VTG)

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 ...

IT America Inc

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 ...

Elder Research

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 ...

Elder Research

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 ...

Alliance Sourcing Network

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 ...

Level Up Llc

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 ...

Level Up Llc

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 ...

AVIAN, LLC

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 ...

Anika Systems

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 ...

ProSidian Consulting

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 ...

Cornerstone Defense

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Share Data Engineer 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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Data Engineer Finance information

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 Virginia? For Data Engineer Finance jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Finance jobs in Virginia look for? The top searched job categories for Data Engineer Finance jobs in Virginia are:
What cities in Virginia are hiring for Data Engineer Finance jobs? Cities in Virginia with the most Data Engineer Finance job openings:
Data Engineer Finance jobs near you
Data Engineer, Finance Data & BI

Data Engineer, Finance Data & BI

McKesson Corporation

Richmond, VA • On-site

$130K - $140K/yr

Full-time

Posted 11 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

41st of 74 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join the Finance Solutions team. This is a critical individual contributor role within our Finance Data & BI organization.
The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into high-quality, analytics-ready, and AI-enabled datasets. These datasets support strategic reporting, planning, forecasting, automation, and advanced analytics across the organization.
Reporting to the Director, Finance Data & BI, this Data Engineer will serve as an agile technical partner to Data Product, Architecture, Business Intelligence, Data Science, Finance Analysts, and business stakeholders. This role plays a key part in building the future-state Finance data platforms at MMS, supporting enterprise analytics, AI/ML use cases, and sound financial governance.
Hybrid Expectations
  • This position is based in Richmond, VA with 3 to 5 days in the office each month.
  • Preferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).
  • Relocation assistance is not available for this role.

Compensation
  • Base: $130,000 to $140,000
  • 10% Annual Incentive

Key Responsibilities
Data Engineering & Architecture
  • Solve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholder-ready, production-scale data solutions
  • Design new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code
  • Develop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads
  • Develop and maintain database code, including stored procedures, functions, and performance-optimized transformations
  • Create and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools

Optimization, Data Quality & Governance
  • Implement and optimize data models (e.g., dimensional modeling) within the Finance data environment
  • Optimize data architecture for performance, scalability, and cost efficiency across large financial datasets
  • Design and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases
  • Ensure all data solutions meet financial governance and compliance standards, including SOX requirements

Collaboration & Communication
  • Partner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions
  • Communicate technical concepts clearly to non-technical stakeholders, balancing innovation with operational risk and controls
  • Enable trusted data environments required for forecasting models, scenario planning, and AI-driven insights
  • Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

Minimum Requirements
  • 4+ years of relevant experience

Preferred Critical Requirements
  • 4+ years of technical and professional experience as a Data Engineer
  • 4+ years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools
  • 4+ years of experience working with structured and unstructured data in batch and real-time data processing environments
  • Strong proficiency in object-oriented programming languages such as Python, Java, or C#
  • Demonstrated experience with Google Cloud Platform (GCP) preferred over other platforms (e.g., Snowflake, Databricks, Microsoft, Teradata)
  • Proven experience in an enterprise environment with:
    • Building and optimizing cloud-based data solutions
    • Supporting business-critical systems
    • Designing or supporting production-scale AI/ML data pipelines
    • Applying data governance by design
    • Data warehousing and ETL best practices
    • CI/CD and version control using GitHub

Additional Skills: (Nice to Have)
  • Experience with PySpark
  • Experience with Matillion or other modern ETL tools
  • Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)
  • Experience deploying SOX-compliant data solutions in a regulated enterprise
  • Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$106,500 - $177,500
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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