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Quantitative Data Engineer Jobs in Boca Raton, FL

Motorola

Portfolio Data Analyst

Plantation, FL · On-site

Stochastic Risk Engineering & Code Development: Write production-grade code to build data pipelines ... or a related quantitative field * Experience : 2 to 4 years of experience as a data analyst ...

Trans Union LLC

Lead Data Scientist

Boca Raton, FL · On-site

$100K - $160K/yr

... engineering, operations research, or another highly quantitative field. A track record of academic ... other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java ...

TransUnion

Lead Data Scientist

Boca Raton, FL

$100K - $160K/yr

... engineering, operations research, or another highly quantitative field. A track record of academic ... other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java ...

Transunion

Lead Data Scientist

Boca Raton, FL

$100K - $160K/yr

... engineering, operations research, or another highly quantitative field. A track record of academic ... other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Boca Raton, FL

Quantitative Data Engineer information

See Boca Raton, FL salary details

$10.4K

$123K

$187.9K

How much do quantitative data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for quantitative data engineer in Boca Raton, FL is $123,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $131,400.00 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 Boca Raton, FL?

For Quantitative Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Boca Raton, FL look for?

The top searched job categories for Quantitative Data Engineer jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Quantitative Data Engineer jobs?

Cities near Boca Raton, FL with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Boca Raton, FL as of June 2026, with employment types broken down into 6% As Needed, 69% Full Time, and 25% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,049 per year, or $59.2 per hour.

AI Quantitative Strategist

Quant Blueprint LLC

West Palm Beach, FL • On-site

$54 - $66/hr

Other

Medical, Dental, Retirement

Posted 4 days ago

Job description

Quant Researcher Position Overview

Research and implement strategies within the firm's automated trading framework. Analyze large data sets using advanced statistical methods to identify trading opportunities. Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of a Quant Researcher
  • Primary focus throughout the day is on researching and implementing trading ideas.
  • Before market open, check that all required data and related processes are ready for the trading day.
  • During market hours, sporadically monitor behavior and performance of strategies.
Skill Set Required
  • Quantitative background – includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
  • Programming proficiency with at least one major programming or scripting language (e.g., C++, Java, Python).
  • Strong communication skills and ability to work well with colleagues across multiple regions.
  • Ability to work well under pressure.
Compensation and Benefits

The minimum base salary for this role is $60,000 if located in New York. This expectation is based on available information at the time of posting. Any additional compensation may include discretionary bonuses, which could constitute a significant portion of total compensation. The role may also be eligible for benefits such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates' compensation and benefits will be determined in consideration of various factors.

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