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Quantitative Data Engineer Jobs in Tulsa, OK (NOW HIRING)

CCT

Product Manager, Insight Cash

Tulsa, OK · On-site

... engineering, implementation, and leadership about what we're building and why. If you're used to ... Synthesize qualitative and quantitative data to drive product decisions and translate field ...

CCT

Product Manager, Insight Cash

Tulsa, OK · On-site +1

... engineering, implementation, and leadership about what we're building and why. If you're used to ... Synthesize qualitative and quantitative data to drive product decisions and translate field ...

L3HHCM20

Associate, Optical Engineer

Tulsa, OK · On-site

$12 - $14.75/hr

May apply quantitative analysis in determining root cause of highly technical problems and propose ... data. This involves operating sensors from a workstation in a highly modified business class ...

L3Harris Technologies

Associate, Optical Engineer

Tulsa, OK · On-site

$14.50 - $18/hr

May apply quantitative analysis in determining root cause of highly technical problems and propose ... data. This involves operating sensors from a workstation in a highly modified business class ...

Varsity Tutors

College Math Tutor

Tulsa, OK · 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 ...

Inceed

Pricing Analyst

Tulsa, OK · On-site

$70K - $75K/yr

It's a strong fit for someone who enjoys working with data, building insights, and partnering ... Strong analytical and quantitative skills * Advanced Excel skills * Experience with SQL, Python, or ...

AAON, Inc.

Pricing Analyst I

Tulsa, OK · On-site

Collaborate with Sales, Product Management, Finance, Engineering, and ECAT Teams to ensure pricing ... Strong analytical and quantitative skills with proficiency in data analysis tools such as Excel ...

AAON, Inc.

Pricing Analyst I

Tulsa, OK · On-site

Collaborate with Sales, Product Management, Finance,Engineering,andECAT Teamsto ensure pricing ... Strong analytical and quantitative skills withproficiencyin data analysis tools such as Excel, SQL ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Tulsa, OK

Quantitative Data Engineer information

See Tulsa, OK salary details

$10K

$118.4K

$180.8K

How much do quantitative data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for quantitative data engineer in Tulsa, OK is $118,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $126,500.00 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 Tulsa, OK?

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

What job categories do people searching Quantitative Data Engineer jobs in Tulsa, OK look for?

The top searched job categories for Quantitative Data Engineer jobs in Tulsa, OK are:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Tulsa, OK as of June 2026, with employment types broken down into 1% Internship, 94% Full Time, and 5% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,433 per year, or $56.9 per hour.

Research Scientist GS9392

Tulsa, OK • On-site

The OSU/A&M System
See more jobs at The OSU/A&M Systemexternal

Full-time

Re-posted 16 days ago

Job description

Campus

OSU-Center for Health Sciences

Contact Name & Email

Jamie Childers, Jamie.Childers@okstate.edu

Work Schedule

Typically Monday - Friday, 8 hour shifts

Appointment Length

Regular Continuous/Until Further Notice

Hiring Range

Salary

Priority Application Date

While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.

Special Instructions to Applicants

For full consideration, please include a resume or CV, cover letter and contact information for three professional references

About this Position

The Department of Anatomy & Cell Biology is seeking a Research Assistant or Scientist to provide quantitative and data-focused support for human and mouse neuroscience research. This position focuses on data management, analysis, and study infrastructure for IRB-regulated human and animal subjects research, including behavioral and neuroimaging studies. The role functions as a shared analytical resource and is primarily computational in nature, with limited but essential involvement in human subjects research activities.

Key Responsibilities

  • Conduct quantitative analyses using Python and/or R
  • Analyze and interpret high-throughput DNA/RNA sequencing (bulk and single-cell RNA-seq) datasets using established pipelines and statistical methods;
  • Support development and deployment of behavioral tasks (online and in-person)
  • Assist with neuroimaging and behavioral data workflows
  • Ensure compliance with data security and IRB regulations as well as ensuring data integrity and reproducibility  
Required Qualifications
  • Master's
    • Master’s degree or Ph.D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field
    (degree must be conferred on or before agreed upon start date)
    • Experience with quantitative data analysis (Python and/or R)
    • Experience working with research data or regulated datasets
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Ability to implement and troubleshoot bioinformatics workflows in R and/or Python for quality control, normalization, clustering, differential expression or other analysis steps
    • Strong organizational and communication skills
Preferred Qualifications
  • Ph.D. degree
    • Ph.D. degree in a relevant field
    • Experience with large-scale databases (behavioral, neuroimaging, genomic databases)
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Familiarity with Unix/Linux environments

Apply