ZipRecruiter

Log In

1

Quantitative Data Engineer Jobs in Washington, DC

RiVidium, Inc

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

... related quantitative field * Equivalent work experience may be considered in lieu of a degree ... Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines * Familiarity with ...

WILLCOR, Inc.

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer Location: Suitland, MD Clearance: TS/SCI Salary: Highly Competitive WILLCOR is ... Bachelor's degree from an accredited institution in a quantitative or technical field of study ...

Accord Technologies Inc.

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer II Location : Arlington, VA, (Onsite) Position type: W2 contract Industry: Banking/Financials/Payments Mandatory: Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark ...

VTG

Data Analyst

Chantilly, VA

Apply qualitative and quantitative data analysis methodologies to complex business and mission ... Transform, manipulate, combine, and analyze data using programming languages such as Python or R.

New

Deloitte

Palantir Foundry Data Engineer

Mclean, VA

$115K - $139K/yr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field * 3+ years of experience designing, building, and ...

Deloitte

Palantir Foundry Data Engineer

Rosslyn, VA

$130K - $156K/yr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field * 3+ years of experience designing, building, and ...

Deloitte

Palantir Foundry Data Engineer

Washington, DC

$129K - $155K/yr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field * 3+ years of experience designing, building, and ...

Agile Defense

Data Engineer

Falls Church, VA · On-site

$150 - $175/hr

Data Engineer Location: Camp Smith, HI Clearance Level: Top Secret, Must Have Clearance to Start ... quantitative communication strategies. * Contribute to the team's shared library of analysis ...

New

WILLCOR, Inc

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

WILLCOR, Inc is seeking a Data Engineer who will be responsible for designing and maintaining ... Required : • Bachelor's degree from an accredited institution in a quantitative or technical ...

Freddie Mac

Quantitative Analytics Professional

Mclean, VA · On-site

$105 - $157/hr

We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science ...

VTG

Data Analyst

Chantilly, VA · On-site

Apply qualitative and quantitative data analysis methodologies to complex business and mission ... Transform, manipulate, combine, and analyze data using programming languages such as Python or R.

New

Analytica

Data Engineer

Bethesda, MD · Remote

$117K - $140K/yr

Bachelor's degree in Computer Science, Engineering, IT, or other scientific or quantitative fields * 5 years' experience designing conceptual, physical and logical data models using enterprise data ...

Analytica

Data Engineer

Bethesda, MD · On-site +1

$122K - $147K/yr

Bachelor's degree in Computer Science, Engineering, IT, or other scientific or quantitative fields * 5 years' experience designing conceptual, physical and logical data models using enterprise data ...

Beyond SOF

DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

... display quantitative information Applies the following technical skills to develop an ORACLE ... SSL programming and configuration, CAPCO (rules and automated parsing or validation). Access ...

previous pagenext page

Showing results 21-40

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Washington, DC

Quantitative Data Engineer information

See Washington, DC salary details

$12.5K

$146.9K

$224.3K

How much do quantitative data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for quantitative data engineer in Washington, DC is $146,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,900.00 and $156,900.00 per year, depending on experience, location, and employer.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

What are popular job titles related to Quantitative Data Engineer jobs in Washington, DC?

For Quantitative Data Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Washington, DC look for?

The top searched job categories for Quantitative Data Engineer jobs in Washington, DC are:

Quantitative Data Engineer jobs near you

Data Engineer

RiVidium, Inc

Quantico, VA • On-site

$121K - $145K/yr

Full-time

Re-posted 20 days ago

Job description

Full-Time/Part-Time
Full-Time
Description
RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing, building, securing, and optimizing scalable data processing systems with a strong emphasis on performance, reliability, security, and compliance.
Key Responsibilities:
  • Design, build, and maintain scalable data pipelines for structured and unstructured data
  • Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based solutions
  • Build and maintain data warehouse environments and support data modeling efforts
  • Ensure data quality, integrity, security, and compliance across all data systems
  • Collaborate with data scientists, data architects, and stakeholders to deliver data solutions
  • Support and operationalize machine learning models and analytics workflows
  • Develop and maintain APIs for data access and integration
  • Monitor and troubleshoot data infrastructure to ensure performance and reliability
  • Implement automation using metadata management and modern data engineering practices
  • Provide ad hoc data analysis and support self-service data access for stakeholders
  • Design and maintain reporting and dashboarding infrastructure
  • Promote best practices in data engineering, governance, and data lifecycle management
  • Support data tagging, metadata management, and enterprise data governance initiatives
  • Assist in developing data-related policies, documentation, and system requirements
  • Research and recommend improvements to modernize data architecture, including cloud adoption

Minimum Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related quantitative field
    • Equivalent work experience may be considered in lieu of a degree
  • Minimum of ten (10) years of IT experience, including at least six (6) years in data engineering or related disciplines
  • Strong experience designing and optimizing data pipelines and architectures
  • Expertise in ETL/ELT processes, data integration, and data warehousing concepts
  • Proficiency in SQL and programming languages such as Python, Java, R, or Scala
  • Experience working with large, complex, and heterogeneous datasets
  • Strong understanding of data modeling, schema design, and metadata management
  • Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments
  • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines
  • Familiarity with message queuing, stream processing, and real-time data integration technologies
  • Strong analytical, problem-solving, and communication skills

Core Competencies:
  • Ability to design and optimize scalable, high-performance data systems
  • Strong collaboration skills across technical and business teams
  • Expertise in data governance, data quality, and data security practices
  • Ability to translate business requirements into technical data solutions
  • Adaptability in working with evolving technologies and complex environments

Clearance Requirement:
  • TS/SCI clearance required at contract start

Preferred Qualifications:
  • Experience supporting Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments
  • Familiarity with federal data governance and compliance requirements
  • Experience with data visualization tools such as Tableau, Power BI, or Qlik
  • Cloud certifications (AWS, Azure, or GCP)
  • Experience with NoSQL, Hadoop, or big data ecosystems
  • Experience collaborating with data science teams to operationalize machine learning models

About the Organization
Established in 2008, RiVidium, Inc. (dba TripleCyber) is a VA-Verified SDVOSB and an SBA-Certified 8(a) company. To prepare our clients for the future, RiVidium has balanced all parts of our organization to attract the finest employees in order to 'Strive to be the missing element defining tomorrow's technology'. RiVidium keeps pace and surpasses its competitors by meeting challenges of advancements in Logistics, Human Capital, Cyber, Intelligence & Technology.
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please contact Human Resources (HR) at hr@rividium.com.
This position is currently accepting applications.

Apply