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Quantitative Data Engineer Jobs in Gaithersburg, MD

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Data Analyst

Washington, DC · On-site

$65K - $85K/yr

This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable ... The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ...

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Summary DDI Data Engineers solve critical data challenges by building optimal data pipelines ... Data Science or related quantitative field * Information Science/Technology * Forensics (Digital ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or hybrid data ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building ... Master's degree or higher in Data Science, Computer Science, Statistics, or a related quantitative ...

Data Engineer

Bethesda, MD · On-site

$122K - $147K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or hybrid data ...

Data Engineer II

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 ...

Data Engineer II

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 ...

Data Engineer II

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 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

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 ...

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 ...

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

Chantilly, VA · On-site

$150K - $181K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field * Experience in data science, analytics, or a related technical discipline ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field * Experience in data science, analytics, or a related technical discipline ...

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 ...

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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 Aug 16, 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 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 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.

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.

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 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.

$74K/yr

Full-time

Re-posted 19 days ago


Job description

DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.Qualifications:Minimum Qualifications
Interested candidates should be passionate about the ideals of our American republic, committed to upholding the rule of law and the U.S. Constitution, and committed to improving the efficiency of the Federal government. Hiring decisions will not be based on race, sex, color, religion, or national origin.
  • Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL
  • Knowledge of data ingestion, transformation, modeling, and storage:
    • Strong critical thinking and problem-solving skills
    • Ability to work independently and in groups within a team environment.
    • Curiosity, creativity, and initiative
  • Ability to meet the minimum requirements for joining CIA, including U.S. citizenship and a background investigation
Desired Qualifications
  • Prior experience related to data engineering, data science, data architecture, database and search technologies
  • Experience analyzing or processing bulk datasets
  • Experience with signal/image processing, geospatial modeling or voice/data communications
  • Prior application of serverless design patterns, such as serverless applications or websites
  • Understanding of scaling and performance of distributed/cloud systems
  • Understanding of data science concepts, AI/ML, automation, and scripting
Education:
  • Bachelor's degree in one of the following fields or related studies:
    • Computer Science
    • Computer/Electrical Engineering or related field
    • Data Science or related quantitative field
    • Information Science/Technology
    • Forensics (Digital Forensics, Forensic Science, and Technology)
    • Mathematics/Statistics
  • At least a 3.0 GPA on a 4-point scale
Employment Type: OTHER