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Quantitative Data Engineer Jobs in Boca Raton, FL

Amzur

Sr Finance Analyst

Miramar, FL · On-site

$32/hr

Role gathers and interprets data, defines, monitors, and coordinates processes and process ... Excellent analytical, problem solving, decision-making and quantitative analysis skills to provide ...

Sixt

Revenue Management Analyst

Fort Lauderdale, FL

Education & Experience - Bachelor's degree in Finance, Economics, Mathematics, Statistics, Business Analytics, Engineering, Data Science, or a related quantitative field. Relevant analytical, pricing ...

SIXT

Revenue Management Analyst

Fort Lauderdale, FL · On-site

Education & Experience - Bachelor's degree in Finance, Economics, Mathematics, Statistics, Business Analytics, Engineering, Data Science, or a related quantitative field. Relevant analytical, pricing ...

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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 Jun 27, 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 an example of quantitative?

A quantitative example involves numerical data that can be measured and analyzed statistically. In a Quantitative Data Engineer role, this might include metrics like transaction volumes, data throughput, or statistical summaries used to build data pipelines and models.

What is quantitative vs qualitative?

Quantitative data refers to numerical information that can be measured and analyzed statistically, such as sales figures or sensor readings. Qualitative data involves descriptive, non-numerical information like opinions, interviews, or observations. In data engineering, understanding both types helps in designing systems that process and analyze diverse data sources effectively.

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 does quantitative mean?

In the context of a Quantitative Data Engineer role, 'quantitative' refers to working with numerical data and statistical methods to analyze and model information. This involves skills in mathematics, programming, and data analysis tools to develop algorithms and insights from large datasets.

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 are the synonyms of quantitative?

Synonyms of quantitative include numerical, measurable, and statistical. In a data engineering context, these terms relate to data that can be quantified and analyzed using tools like SQL, Python, or R, often involving numerical datasets and statistical methods.

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 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
Auto Insurance Associate Product Manager

Auto Insurance Associate Product Manager

Embark MGA

Fort Lauderdale, FL • Remote

Part-time

Posted 15 days ago

Job description

The Associate Product Manager role will focus on achieving favorable results, handling regulatory filings, developing state-specific program enhancements, and effectuating the development of competitive product strategies. The ideal candidate has favorable experience in insurance product management, strong technical/math skills and enjoys working collaboratively across departments. This is a fully remote position. Consulting or PT position is highly desired

Responsibilities:

  • Manage assigned auto insurance state(s), ensuring profitability, compliance, and competitiveness
  • Align product goals with company objectives and strengths, regulatory requirements, and profitability targets.
  • Collaborate with Marketing, Underwriting, Claims, IT, Legal, vendors, etc. to design, price, and implement product features and to support day-to-day operations.
  • Maintain effective regulatory relations, prepare and submit product and rate filings via SERFF and overall communicate successfully with insurance departments.
  • Monitor and evaluate product performance metrics (loss ratios, retention, premium growth, etc.) and recommend and implement approved adjustments to improve results.
  • Conduct competitor and market analysis including securing agent input to identify trends, pricing opportunities, product enhancements, etc. and incorporate into actionable product advancements.
  • Develop strong knowledge of and ensure compliance with state requirements and effectively respond to regulatory inquiries.
  • Contribute and reply to audits, reviews, and regulatory examinations as a subject-matter expert. Review criticisms and areas reviewed in other insurance carrier Market Conduct Exam reports and ensure AFIC is in compliance with all potential exposures.
  • Assists in development of programs including pricing, underwriting, policy language, and filings for new and existing programs.
  • Develop the programming of scalable and flexible data reporting and analysis solutions to fulfill the needs of the team.
  • Document programs, queries, and dashboards for reliable future use; automate useful reports and solutions
  • Analyze market trends, competitor activity, and industry developments
  • Initiate, lead and/or support projects and initiatives that enhance product development, operations, and/or performance.

Requirements

  • Bachelor’s degree in Business, Finance, Insurance, Economics or related field preferred
  • Minimum 2 years of Product Management or related experience, preferably with a focus on automobile insurance (non-standard automobile a plus)
  • Excellent quantitative and communication skills
  • Strong knowledge of data analysis and visualization tools such as SQL and Tableau required
  • Strong analytical and problem-solving skills with attention to detail
  • Working knowledge of insurance rate filings and rules
  • Effective communication and collaboration skills across technical and non-technical teams
  • Proficiency with Microsoft Office Suite; experience with product management tools and regulatory filing systems (e.g., SERFF)