1

Quantitative Data Engineer Jobs in Miami, FL (NOW HIRING)

Post Doctoral Associate

Coral Gables, FL · On-site

$46K - $63K/yr

D. in Biomedical Engineering, Electrical Engineering, Computer Science and Engineering ... Strong quantitative data analysis, signal processing, and computational modeling skills, with hands ...

... quantitative data output to communicate efforts for performance and revenue. * Review upcoming schedules to identify potential delivery and operational issues, including programming start and ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

Product Development

Miami, FL · On-site

$150 - $200/hr

MS or PhD in finance, computer science, mathematics, physics, engineering or other quantitative discipline. * Demonstrated ability to conduct independent research utilizing large data sets. * Strong ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

You will work cross-functionally with product, engineering, marketing, and business leaders to ... quantitative field; Master's degree strongly preferred * 5-7+ years of experience in data science ...

Director, Data Science

Miami, FL · On-site

$156K - $281K/yr

Translate quantitative analyses and findings into accessible visuals for non-technical audiences ... engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model ...

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Work with cross-functional teams, including engineers, service owners, product owners, product ... Typically 5+ years of relevant quantitative and qualitative research, analytics, data science, or ...

Sr Product Manager, Purchasing

Miami, FL · On-site +1

$121K - $159K/yr

Drive alignment across multiple teams, including Engineering, Design, Data, and Business ... Use qualitative and quantitative data to inform decisions, define product success metrics, and ...

Showing results 41-60

Quantitative Data Engineer information

See Miami, FL salary details

$10.5K

$124K

$189.4K

How much do quantitative data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative data engineer in Miami, FL is $124,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $132,500.00 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 job categories do people searching Quantitative Data Engineer jobs in Miami, FL look for?

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

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

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

Infographic showing various Quantitative Data Engineer job openings in Miami, FL as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,018 per year, or $59.6 per hour.

Post Doctoral Associate

University of Miami

Coral Gables, FL • On-site

$46K - $63K/yr

Full-time

Re-posted 11 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

263rd of 622 rated colleges and universities


Job description

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.

CORE JOB SUMMARY
The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the scientific community.
CORE JOB FUNCTIONS
1. Conducts research on specific areas of study as assigned.
2. Prepares research reports and technical papers for publishing.
3. Investigates the feasibility of applying a wide variety of scientific principles and theories.
4. Maintains substantial knowledge of state-of-the-art principles and theories.
5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
6. Adheres to University and unit-level policies and procedures and safeguards University assets.
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
CORE QUALIFICATIONS
Education:
Doctorate degree in relevant field required
Experience:
No previous experience required
Certification and Licensing:
Refer to department description for applicable certification requirements
Knowledge, Skills and Abilities:

  • Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
  • Teamwork: Ability to work collaboratively with others and contribute to a team environment.
  • Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
  • Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.

This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job.

Department Specific Qualifications

Education:

A Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science and Engineering, Neuroscience, Applied Mathematics, or another closely related engineering or quantitative discipline is required.

Certification and Licensing:

N/A

Experience:

Less than 5 years of research experience following completion of a Ph.D.

Knowledge, Skills and Attitudes:

Required Knowledge
  • Advanced understanding of the principles, mechanisms, and applications of non-invasive neuromodulation technologies, including transcranial magnetic stimulation (TMS), transcranial alternating current stimulation (tACS), transcranial direct current stimulation (tDCS), Temporal Interference (TI) stimulation, focused ultrasound neuromodulation, shock wave stimulation, and related neural modulation techniques.
  • Advanced knowledge of human neurophysiology, motor control, neuromuscular function, pain mechanisms, psychiatric, and the neural circuits underlying behavior, cognition, and functional recovery.
  • Knowledge of multimodal neuroimaging principles and methodologies, including EEG, NIRS, MRI and diffusion imaging techniques.
  • Familiarity with human-subject research methodologies, experimental design, and statistical analysis.
Required Skills
  • Demonstrated ability to independently design, implement, and manage complex human-subject research studies.
  • Strong quantitative data analysis, signal processing, and computational modeling skills, with hands-on experience in neuromodulation technologies (e.g., TMS, tACS, tDCS, TI, and/or focused ultrasound) and multimodal neurophysiological and neuroimaging techniques, including EEG, fNIRS, EMG, MRI, and related neural recording and imaging modalities.
  • Experience with signal processing, machine learning, statistical modeling, and multimodal data integration.
  • Strong scientific writing skills, with a demonstrated publication record in peer-reviewed journals.
  • Ability to contribute to grant writing, particularly NIH-style proposals and progress reports.
  • Effective verbal and written communication skills for interdisciplinary collaboration with engineers, clinicians, and scientists.
Required Attitudes and Professional Attributes
  • Strong motivation to pursue independent, high-impact research.
  • Initiative and ability to work independently while contributing effectively within a multidisciplinary team.
  • Flexibility and adaptability in a dynamic research environment.
  • Willingness to learn new technologies and methodologies and continuously expand technical expertise.
  • Intellectual curiosity and commitment to scientific rigor and reproducibility.
  • Enthusiasm for translating engineering and neuroscience discoveries into clinically meaningful applications.

The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida.

With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.

We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

Job Status:

Full time

Employee Type:

Staff

What University Of Miami employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


University of Miami logo

About University of Miami

Sourced by ZipRecruiter

The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925