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Quantitative Data Engineer Jobs in Boca Raton, FL

DHL eCommerce

Manager Commercial Analytics

Weston, FL · On-site

... 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 ...

Chewy

Healthcare Analytics Manager

Plantation, FL

$110K - $176K/yr

... data science or similar role. * Bachelor's degree in Engineering, Math, Statistics, Economics, Supply Chain, Finance or a related degree with quantitative and analytical emphasis. * Demonstrable ...

STV

Cost Engineering Specialist

Pompano Beach, FL

$79K - $91K/yr

The Cost Engineer also develops and maintains cost estimates, budgets, and forecasts across the ... The ideal candidate pairs strong quantitative analysis with excellent written communication and ...

Varsity Tutors

College Math Tutor

Miramar, FL · 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 ...

Varsity Tutors

College Math Tutor

Sunrise, FL · 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 ...

Varsity Tutors

College Math Tutor

Cooper City, FL · 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 ...

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Showing results 21-40

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.

Manager Commercial Analytics

DHL eCommerce

Weston, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

DHL rating

6.9

Company rating: 6.9 out of 10

Based on 326 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies

Job description

Job Brief
The Manager Commercial Analytics is responsible for overseeing all commercial and customer data analytics, with a strong focus on piece level data (PLD) analysis to create customers profile and pricing decision support.
At DHL, our people are our greatest asset! Everyone's contribution drives us to be the world's #1 logistics company.
Certified as a Great Place to Work and as a Top Employer, we're dedicated to fostering a positive, collaborative, and supportive environment for all. Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.
SUMMARY: The Manager Commercial Analytics is responsible for overseeing all commercial and customer data analytics, with a strong focus on piece level data (PLD) analysis to create customers profile and pricing decision support. This position will develop and manage end-to-end analytical reporting solutions while directly supporting a team of analysts and senior analysts. This role will monitor both standard and ad hoc analyses on various pricing, rate logic and methodological topics to support pricing decision making, including support of the annual general rate increase process, commercial IQ initiatives, and AI-driven analytical solution development.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Build, maintain, and continuously improve PLD reporting solutions in Power BI, incorporating feedback and requirements from customers and the sales team; ensure all PLD analyses meet a one-day turnaround KPI
  • Support the annual general rate increase process along with the commercial and pricing management team to ensure the rate increase is seamless and error-free
  • Drive Commercial IQ initiatives and contribute to the development of AI-driven analytical solutions to monitor profitability and support pricing decisions
  • Analyze large volumes of commercial and customer data to generate actionable insights and recommendations for business stakeholders; to be completed within a short turnaround time and as necessary
  • Work cross-functionally with sales, pricing, and commercial teams to understand business needs and translate them into analytical solutions
  • Lead, train, and manage a team of analysts and senior analysts, providing guidance and ensuring the quality and accuracy of all analytical outputs
  • Identify and implement opportunities for automation and process improvement within commercial analytics and reporting
  • Provide customer-specific data analyses and ad hoc reporting as needed
  • Monitor all product and commercial Power BI reports to ensure minimal downtime and report logic alignment with business requirements remains
  • Perform other duties and special projects as assigned

EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field required; master's degree in Business Analytics,
  • Data Science, MBA with an analytical focus, or a related field preferred
  • 5 - 8 years of experience with significant experience in leading a team and working on analytics is required
  • Preferred Certifications:
  • Microsoft Power BI certification
  • Microsoft Azure certifications (e.g., Azure Data Engineer or Azure Data Scientist)
  • Databricks certifications
  • Six Sigma or process improvement certifications (given the cross-functional and process improvement responsibilities)

REQUIREMENTS/SKILLS:
  • High energy with solid analytical mindset
  • Strong ability to lead and manage a team
  • Strong ability to quickly become familiarized with new tasks and/or information
  • Expert knowledge in data mining, modeling and analysis using SQL (required), Microsoft Access (required), Excel (required), Power BI, Databricks among others
  • Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, and analysis
  • Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development
  • Proficient in identifying and solving problems, and utilizing analytics and modeling techniques
  • Self-starter, able to work well under pressure, perform and manage multiple tasks simultaneously and meet deadlines
  • Ability to translate large data sets to key business messages
  • Excellent communication skills

PHYSICAL DEMANDS:
  • Physical demands are consistent with professional office setting
  • Regular sitting at workstation for 75-100% of the work shift

As a leading logistics company in one of the fastest growing industries, at DHL eCommerce, we offer our employees, and their dependents benefits and incentives to make them successful at work and home.
  • Competitive Pay
  • Bonus Programs
  • Retirement Savings - 401k with company match
  • Medical, Dental, Vision, Well-being programs
  • FSA/HSA availability
  • Tuition Reimbursement
  • Paid Time Off including vacation and sick time
  • Company Paid Holidays and Floating Holidays
  • Paid Parental Leave
  • Employee Discount Program
  • Employee Assistance & Work Life Program
  • Short Term and Long-Term Disability
  • Life Insurance

We are committed to equal opportunity and reject any forms of discrimination. The basis for employee selection at DHL Group is qualification, performance, skills and experience.
Equal Opportunity Employer - Veterans/Disability

What DHL employees say

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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing and personal services

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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