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Quantitative Data Engineer Jobs in Baton Rouge, LA

Able to structure and process qualitative and quantitative data and draw insightful conclusions from it. * Work Ethic. Has a strong willingness to work hard and sometimes long hours to get the job ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customize GIS workflow and software programs for data collection, engineering, and environmental ...

College Math Tutor

Baton Rouge, LA 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 ...

... other data to prepare time, cost, materials, and labor estimates * Confer with engineers ... or quantitative productivity standards * Ability to maintain regular, punctual attendance ...

SQL developer

Baton Rouge, LA ยท On-site

$80K/yr

Strong quantitative, analytical, problem solving, organizational, communication and interpersonal ... Reports directly to Automated Data Sourcing Manager * Interacts with other colleagues at all levels ...

... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ... Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.

... quantitative analysis of cost and schedule to provide management with the data necessary to make ... cost engineering. Excellent Mathematical skills with attention to accuracy and details are ...

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Quantitative Data Engineer information

See Baton Rouge, LA salary details

$10.6K

$124.5K

$190.1K

How much do quantitative data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative data engineer in Baton Rouge, LA is $124,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $133,000.00 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 Baton Rouge, LA?

For Quantitative Data Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Baton Rouge, LA look for?

The top searched job categories for Quantitative Data Engineer jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Quantitative Data Engineer jobs?

Cities near Baton Rouge, LA with the most Quantitative Data Engineer job openings:

Infographic showing various Quantitative Data Engineer job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,510 per year, or $59.9 per hour.

VP, Data Scientist, Enterprise AI, Innovation Group

UOB

Central, LA โ€ข On-site

$120 - $150/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

## VP, Data Scientist, Enterprise AI, Innovation GroupApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted 8 Days Agojob requisition id: JR88406Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values โ€“ Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description****Job Responsibilities:**The incumbent will be a key member of the Enterprise AI team, partnering with stakeholders to design, develop, and deploy AI and GenAI solutions across business and support units, delivering impactful outcomes.Your **main responsibilities** are to:* Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver AI and GenAI driven business use cases.* Develop and successfully execute plans aligned with strategic project and business objectives.* Develop performant AI and Gen AI capabilities through thoughtful research and experimentation.* Develop and deploy AI and Gen AI applications with agile prototyping.* Integrate AI and Gen AI capabilities and applications into the bank's ecosystem.* Stay abreast of fast emerging AI and Gen AI technological advancements, industry best practices, architecture, software resources and paradigms.* Engage and manage stakeholder interactions and expectations.* Provide deep expertise and advisory on AI and Gen AI to diverse stakeholders.* Contribute to AI and Gen AI related validation, guardrail and benchmarking exercises.**Qualifications:*** Min Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles. GenAI related thesis/publications highly preferred.* Achieved consistent success in framing rigorous and data driven approaches to solve highly complex business use cases or academic problems.* Min 8 years of advanced data science working or research experience, preferably in banking / financial services / quant / consulting industry.* Self-motivated team player, able to ideate innovative solutions and work independently.* Proven record in developing AI applications using transformer models, boosting models, and other advanced techniques.* Highly skilled and successful in end-to-end LLM deployment, with 1.5 years full-time experience. Demonstrable achievements is a must.* Demonstrable expertise and experience in adjacent topics such as Agentic AI /Visual /Audio /Multimodal generation highly preferred.* Python programming and large data handling abilities. Highly skilled with common data science and LLM packages such as Pytorch and LangChain.* Experienced in general end-to-end data science solution delivery and assorted tools.* Ability to communicate analytic findings clearly and convincingly to business.* Skillful in agile project management practices.* Experience with data visualization packages and/or tools a plus.## **Additional Requirements**Be a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.Apply now and make a Difference #J-18808-Ljbffr