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Quantitative Data Engineer Jobs in Riverview, FL

Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications: * Bachelor's degree in ...

Sr. Engineer, R&D (Biomaterials)

Tampa, FL

$98K - $135K/yr

Applies sound technical expertise and engineering judgment to design and conduct studies, analyze quantitative data, draw conclusions, and provide technical recommendations. * Effectively ...

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline. * Minimum five (5) years of professional experience ...

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline. Minimum five (5) years of professional experience ...

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline. * Minimum five (5) years of professional experience ...

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

Master\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline. * Minimum five (5) years of professional ...

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline. * Minimum five (5) years of professional experience ...

Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications: * Bachelor's degree in ...

Showing results 21-40

Quantitative Data Engineer information

See Riverview, FL salary details

$9.8K

$115.7K

$176.6K

How much do quantitative data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative data engineer in Riverview, FL is $115,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $123,500.00 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 are popular job titles related to Quantitative Data Engineer jobs in Riverview, FL?

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

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

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

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

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

Data Scientist (AI/ML Engineer)

Apex Informatics

Tampa, FL • On-site

Contractor

Re-posted 7 days ago


Job description

Data Scientist (AI/ML Engineer)
Required Skills:
• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data
• 2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
• Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses
• Experience building APIs for the models
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Organized self-starter, with drive and commitment; able to work with little supervision
• Strong analytical, quantitative, problem-solving, and critical thinking skills
• Nice-to-Have:
• Experience using vision and speech models in GenAI
• Experience with Voice based BOT implementation.