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Quantitative Data Engineer Jobs in Louisiana (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

New Orleans, LA · On-site

$98K - $129K/yr

... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Jobtailor

Senior Data Product Manager

Iowa, LA · On-site

$150 - $210/hr

Measure adoption and return using quantitative ROI metrics * Support control performance ... Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, Engineering ...

New

JLL

Data Collection Specialist II

New Orleans, LA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Requires analytical and quantitative skills with proven experience in developing strategic ...

K2M Design Inc.

Power Systems Assessor

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

K2M Design Inc.

Power Systems Assessor

Alexandria, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Cloudera

  • PTO

Strong quantitative, financial modeling, and data manipulation skills; proficiency in GTM systems ... Engineering (FDE), Solution Architecture, or Applied AI Specialist organizations. * Deep domain ...

Wood Plc

GIS Analyst - FEMA

Baton Rouge, LA · Remote

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 ...

Varsity Tutors

College Math Tutor

Baton Rouge, LA · 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

New Orleans, LA · 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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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Louisiana

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 Louisiana?

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

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

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

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

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

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Louisiana as of June 2026, with employment types broken down into 1% Internship, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Xavier University of Louisiana

New Orleans, LA • On-site

Full-time

Re-posted 24 days ago

Job description

Posting Details
Posting Summary
Position Title
Data Scientist
FLSA
Exempt
Department
Department Of Chemistry
Job Summary
Xavier University of Louisiana is accepting applications for a Data Scientist. The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans. AA/EOE
Minimum Qualifications
Requirements:
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Preferred Qualifications
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Special Requirements Summary
Work Hours
Monday thru Friday 8:00am until 5:00pm
KSA's
Knowledge, Education, Experience, and Proficiencies
PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/ Bioinformatics/Public Health or other quantitative sciences
Essential Duties and Responsibilities
Essential Duties and Responsibilities Description
The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans.
Posting Detail Information
Posting Number
S368P
Number of Vacancies
1
Desired Start Date
03/04/2024
Position End Date (if temporary)
Posting Date
02/06/2024
Application Review Date
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants
Attach online only your resume, cover letter, transcripts and contact information for 3 references.
Quicklink for Posting
https://jobs.xula.edu/postings/2990
About Xavier
About Xavier
Founded in 1925 by Saint Katharine Drexel and the Sisters of the Blessed Sacrament, Xavier is Catholic and historically Black. Located in New Orleans, the ultimate purpose of the University is to contribute to the promotion of a more just and humane society by preparing its students to assume roles of leadership and service in a global society. This preparation takes place in a diverse learning and teaching environment that incorporates all relevant educational means, including research and community service.

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