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Quantitative Data Engineer Jobs in Missouri (NOW HIRING)

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO · On-site

... Engineering, Experimental Science with 3+ years of experience or Bachelor's degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive ...

Perficient

Lead Data Scientist

Saint Louis, MO · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of experience developing and deploying predictive models using ...

Perficient

Lead Data Scientist

Saint Louis, MO · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 3+ years of experience developing and deploying predictive models using ...

Menlo Ventures

Principal Data Scientist

California, MO · On-site

$200 - $260/hr

Partner with engineering and product leaders to embed a data-driven decision culture and act as the ... What We Look ForRequired * 15+ years of experience in data science, statistics, or quantitative ...

Jobtailor

Associate Data Scientist

California, MO · On-site

$70 - $100/hr

... quantitative solutions. * Use an iterative approach: start with quick, decision-useful analysis ... Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to ...

New

Perficient, Inc.

Lead Data Scientist

Saint Louis, MO · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 3+ years of experience developing and deploying predictive models using ...

Perficient, Inc.

Lead Data Scientist

Saint Louis, MO · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of experience developing and deploying predictive models using ...

SupportFinity™

Data Analyst

California, MO · On-site

$82.92 - $89.25/hr

... using statistical/programming tools (Python, R) to design and execute advanced analytics ... Strong quantitative analytical skills, with the ability to derive insights from large data sets ...

New

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Quantitative Data Engineer information

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 Missouri?

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

What job categories do people searching Quantitative Data Engineer jobs in Missouri look for?

The top searched job categories for Quantitative Data Engineer jobs in Missouri are:

What cities in Missouri are hiring for Quantitative Data Engineer jobs?

Cities in Missouri with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you

Jr. Data Scientist

Embtel, Inc.

Saint Louis, MO • On-site

Full-time

Re-posted 5 days ago

Job description

Company Description
At Embtel Inc, our commitment is to be an expert provider of tailored, end-to-end enterprise-class IT solutions for mid-market and enterprise companies through high-touch customer service. Embtel offers a full suite of IT solutions including cloud and hosting solutions, managed services, ERP application management, professional services, IT hardware and top tier data centers.
At Embtel Inc, our principles of leadership and innovative engineering helps customers reduce costs, improve service levels, increase revenues and gain local-to-global competitive advantage. Our customers span multiple industries including healthcare, manufacturing, financial services, retail, and government.
Customers choose us because our experienced team leverages and manages mission-critical data centers, cloud, and customer infrastructure 24/7/365. Our services ensure customer data is secure, available, and helps meet their compliance requirements.
Embtel Inc. helps professionals to achieve highest degree of client satisfaction through our customized training programs based on the client's business needs to empower program managers, project managers, and business analysts. Our trainers have encompassing experience in not only the tools we support, but also in project management and earned value methodology, enterprise systems, database architecture, business reengineering and more.
Job Description
Knowledge/Experience: Master's degree in Statistics, Mathematics, Computer Science,
Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or
Bachelor's degree and 5+ years of quantitative analysis experience in data science
capabilities including data mining, predictive modeling, machine learning, statistical
modeling, large scale data acquisition, transformation, and structured and unstructured
data analysis. Experience with database technologies, including Oracle, SAP, DB2, Teradata,
MS SQL Server, SAP HANA, MySQL
Qualifications
quantitative analysis in data science capabilities predictive & statistical modeling Teradata,
MySQL, DB2 & SQL Server
Additional Information
All your information will be kept confidential according to EEO guidelines.
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About EMBTEL

Sourced by ZipRecruiter

Embtel, Inc was established in year 2011. Embtel isn’t just any IT staffing and recruiting firm. We firmly believe in the importance of people. Personal relationships are incredibly valuable to what we do. To that end, we work hard to make sure both clients and employees are satisfied with their placement. We want our employees to shine and our clients to be satisfied. The climate in our office is a positive one. We work hard. We have fun. We exchange the occasional high five. We believe a positive atmosphere leads to positive results. We trust our employees. We understand their needs. We make things happen. We’ve been excelling in IT solutions since 2005. Our organized, unique approach has yielded quality results time after time. And, we’ll continue to do it this way.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2011

Social media

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