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Quantitative Data Engineer Jobs in Boca Raton, FL

Analytics - Team Manager

Weston, FL ยท On-site

$94K - $126K/yr

... quantitative field is required. ยท Master's degree in Business Analytics, Data Science, MBA with an ... Data Engineer or Azure Data Scientist. ยท Databricks certifications. ยท Six Sigma or process ...

Analytics - Team Manager

Fort Lauderdale, FL ยท On-site

$94K - $126K/yr

... quantitative field is required. Master's degree in Business Analytics, Data Science, MBA with an ... Microsoft Azure certifications, such as Azure Data Engineer or Azure Data Scientist. Databricks ...

Analytics - Team Manager

Weston, FL ยท On-site

$94K - $126K/yr

... quantitative field is required. Master's degree in Business Analytics, Data Science, MBA with an ... Microsoft Azure certifications, such as Azure Data Engineer or Azure Data Scientist. Databricks ...

... quantitative field required; master's degree in Business Analytics, * Data Science, MBA with an ... Microsoft Azure certifications (e.g., Azure Data Engineer or Azure Data Scientist) * Databricks ...

Collaborate with data engineering and IT partners to align on data architecture, integration, and ... quantitative field. * Strong expertise in diagnostic and causal analytics methodologies.

College Math Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

... programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory ... Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Miramar, FL ยท Remote

$18 - $40/hr

... programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory ... Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Fort Lauderdale, FL ยท Remote

$18 - $40/hr

... programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory ... Guides students through interpreting data sets, constructing logical arguments, solving ...

College Math Tutor

Cooper City, FL ยท Remote

$18 - $40/hr

... programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory ... Guides students through interpreting data sets, constructing logical arguments, solving ...

Sr. Pricing Analyst

West Palm Beach, FL ยท On-site

$120K - $140K/yr

Coordinate with Accounting, FP&A, Data Engineering, and Legal to ensure accuracy and consistency ... Bachelor's degree in Finance, Economics, Accounting, Mathematics, or a related quantitative field ...

Sr. Pricing Analyst

West Palm Beach, FL ยท On-site

$120K - $140K/yr

Coordinate with Accounting, FP&A, Data Engineering, and Legal to ensure accuracy and consistency ... Bachelor's degree in Finance, Economics, Accounting, Mathematics, or a related quantitative field ...

Sr. Pricing Manager

Plantation, FL ยท On-site

$118K - $189K/yr

The ideal candidate will be a highly motivated leader and problem-solver who can use quantitative ... Work across business leadership, internal stakeholders, engineering, and data science to define and ...

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Showing results 1-20

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:

Analytics - Team Manager

DHL Group

Weston, FL โ€ข On-site

$94K - $126K/yr

Other

Posted 7 days ago


Job description

COMPENSATION

$94,575 โ€“ $126,100ย 

ROLE SUMMARY

The Manager, Commercial Analytics โ€“ Team Lead will oversee commercial and customer data analytics, with a strong focus on piece-level data (PLD) analysis to develop customer profiles and provide pricing decision support. This people-leadership role is responsible for developing and managing end-to-end analytical reporting solutions while directly leading and supporting a team of analysts and senior analysts. The position will monitor standard and ad hoc analyses across pricing, rate logic, and methodology-related topics to support effective pricing decisions, including the annual general rate increase process, Commercial IQ initiatives, and the development of AI-driven analytical solutions.

ESSENTIAL DUTIES AND RESPONSIBILITIES

ยทBuild, maintain, and continuously improve PLD reporting solutions in Power BI, incorporating feedback and requirements from customers and the salesย 

ย  team; ensure all PLD analyses meet a one-day turnaround KPI.

ยทSupport the annual general rate increase process in partnership with the commercial and pricing management team to help ensure the rate increase isย 

ย  seamless and error-free.

ยทDrive Commercial IQ initiatives and contribute to the development of AI-driven analytical solutions that monitor profitability and support pricing decisions.

ยทAnalyze large volumes of commercial and customer data to generate actionable insights and recommendations for business stakeholders, within shortย 

ย  turnaround times and as business needs require.

ยทWork cross-functionally with sales, pricing, and commercial teams to understand business needs and translate them into clear, effective analyticalย 

ย  solutions.

ยทDirectly lead, train, and manage a team of analysts and senior analysts, providing coaching, guidance, and oversight to ensure the quality, consistency,ย 

ย  and accuracy of all analytical outputs.

ยทIdentify and implement opportunities for automation and process improvement within commercial analytics and reporting.

ยทProvide customer-specific data analyses and ad hoc reporting as needed.

ยทMonitor all product and commercial Power BI reports to ensure minimal downtime and continued alignment between report logic and businessย 

ย  requirements.

ยทPerform other duties and special projects as assigned.

EDUCATION AND EXPERIENCE

ยทBachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field is required.

ยทMaster's degree in Business Analytics, Data Science, MBA with an analytical focus, or a related field is preferred.

ยท5โ€“8 years of experience in analytics is required, including significant experience directly leading a team and managing analytical deliverables.

PREFERRED CERTIFICATIONS

ยทMicrosoft Power BI certification.

ยทMicrosoft Azure certifications, such as Azure Data Engineer or Azure Data Scientist.

ยทDatabricks certifications.

ยทSix Sigma or process improvement certifications, aligned with the cross-functional and process improvement responsibilities of the role.

REQUIREMENTS AND SKILLS

ยทHigh-energy professional with a strong analytical mindset.

ยทStrong ability to lead, coach, develop, and manage direct reports in an analytics environment.

ยทAbility to quickly become familiar with new tasks, processes, data sources, and information.

ยทExpert knowledge of data mining, modeling, and analysis using SQL, Microsoft Access, Excel, Power BI, Databricks, and other relevant tools; SQL,ย 

ย  Microsoft Access, and Excel are required.

ยทProficiency in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction,

ย  transformation, and analysis.

ยทStrong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development.

ยทProven ability to identify and solve problems using analytics and modeling techniques.

ยทSelf-starter who works well under pressure, can manage multiple priorities simultaneously, and consistently meets deadlines.

ยทAbility to translate large data sets into clear business messages, insights, and recommendations.

ยทExcellent communication skills, with the ability to engage both technical and non-technical stakeholders.

WHY THIS ROLE MATTERS

This is an opportunity to play a key role in strengthening commercial decision-making through advanced analytics, automation, and business-focused reporting. The successful candidate will help transform complex customer and pricing data into meaningful insights that support profitability, improve processes, and enable smarter commercial strategies while leading a team that directly contributes to business impact.

If your background aligns with the requirements above and you are ready to help shape data-driven commercial decision-making, we would be excited to hear from you.

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