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Quantitative Data Engineer Jobs in Gaithersburg, MD

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.

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 ...

Palantir Foundry Data Engineer

Mclean, VA · On-site

$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 ...

Palantir Foundry Data Engineer

Rosslyn, VA · On-site

$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 ...

Palantir Foundry Data Engineer

Washington, DC · On-site

$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 ...

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 ...

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 ...

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.

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 ...

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 ...

Data Analyst

Chantilly, VA · On-site

$120 - $160/hr

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

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 ...

Lead Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Lead Big Data Engineer Seeking a Lead Big Data Engineer in Hadoop and AWS ecosystem in Healthcare ... Executes quantitative analyses that translate data into actionable insights. Provides analytical ...

Lead Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Lead Big Data Engineer Seeking a Lead Big Data Engineer in Hadoop and AWS ecosystem in Healthcare ... Executes quantitative analyses that translate data into actionable insights. Provides analytical ...

Showing results 21-40

Quantitative Data Engineer information

See Gaithersburg, MD salary details

$11.9K

$140.1K

$213.9K

How much do quantitative data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for quantitative data engineer in Gaithersburg, MD is $140,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,900.00 and $149,600.00 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 Gaithersburg, MD?

For Quantitative Data Engineer jobs in Gaithersburg, MD, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Gaithersburg, MD look for?

The top searched job categories for Quantitative Data Engineer jobs in Gaithersburg, MD are:

Infographic showing various Quantitative Data Engineer job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,098 per year, or $67.4 per hour.

Data Analyst

VTG

Chantilly, VA • On-site

Full-time

Posted 5 days ago


Job description

Overview

We are seeking an experienced Data Analyst / Business Analytics Specialist to support data-driven decision-making within a mission-focused environment. The ideal candidate will have hands-on experience analyzing complex datasets, developing data visualizations, identifying trends and relationships, and translating customer requirements into actionable analytical products and system specifications.


What will you do?
  • Apply qualitative and quantitative data analysis methodologies to complex business and mission-related problems.
  • Use critical thinking, analytical judgment, and programmatic, quantitative, and qualitative methods to identify patterns, relationships, and trends across disparate datasets.
  • Perform mathematical, statistical, and other data-driven analyses to answer business questions and support organizational decision-making.
  • Obtain structured and unstructured data from multiple sources, synthesize the information, and present findings clearly and concisely through written and graphical products.
  • Transform, manipulate, combine, and analyze data using programming languages such as Python or R.
  • Develop dashboards, reports, and interactive data visualizations using Tableau.
  • Create visualization mockups and prototypes and demonstrate analytical products to both technical and non-technical audiences.
  • Use data preparation tools such as Tableau Prep Builder to clean, organize, and prepare data for analysis and visualization.
  • Interpret data models and work with a variety of data sources, database structures, and data formats.
  • Use SQL and Excel to query, manipulate, analyze, and validate data.
  • Translate customer requirements and business needs into project or system specifications.
  • Interact directly with customers and stakeholders to coordinate requirements, clarify objectives, and resolve data-related questions.
  • Document analytical methodologies, workflows, processes, and technical procedures.
  • Provide analytical judgment and trend analysis based on research, historical data, and comparisons with previous analytical products.

Do you have what it takes?
  • Active TS/SCI with Polygraph
  • BS degree and 11-15 years of prior relevant experience
  • Demonstrated experience in at least two of the following disciplines:
    • Business Analytics
    • Statistics
    • Data Verification and Validation
    • Data Visualization
  • Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
  • Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
  • Experience documenting workflows and work processes.
  • Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
  • Experience interpreting data models and working with multiple data sources and data structures.
  • Experience translating customer requirements into project or system specifications.
  • Strong interpersonal, written, and verbal communication skills.
  • Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
  • Hands-on experience with Tableau.
  • Experience transforming, manipulating, and combining data using Python or another programming language.
  • Experience with a data preparation tool such as Tableau Prep Builder.
  • Experience using SQL and Microsoft Excel.
Qualifications:
  • Active TS/SCI with Polygraph
  • BS degree and 11-15 years of prior relevant experience
  • Demonstrated experience in at least two of the following disciplines:
    • Business Analytics
    • Statistics
    • Data Verification and Validation
    • Data Visualization
  • Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
  • Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
  • Experience documenting workflows and work processes.
  • Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
  • Experience interpreting data models and working with multiple data sources and data structures.
  • Experience translating customer requirements into project or system specifications.
  • Strong interpersonal, written, and verbal communication skills.
  • Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
  • Hands-on experience with Tableau.
  • Experience transforming, manipulating, and combining data using Python or another programming language.
  • Experience with a data preparation tool such as Tableau Prep Builder.
  • Experience using SQL and Microsoft Excel.
Education:UNAVAILABLEEmployment Type: FULL_TIME