1

Quantitative Data Engineer Jobs in Oklahoma (NOW HIRING)

Sr Assoc, Optical Engineer

Tulsa, OK

$117K - $152K/yr

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

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... quantitative). * Knowledge of 4D/5D modeling. * Experience with forensic scheduling analysis of construction or engineering projects independently. * Experience with estimate validation and ...

... programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory ... Guides students through interpreting data sets, constructing logical arguments, solving ...

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 ...

Showing results 41-60

Quantitative Data Engineer information

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 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.

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.

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 popular job titles related to Quantitative Data Engineer jobs in Oklahoma?

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

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

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

Infographic showing various Quantitative Data Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Systems Analyst - Blue Yonder Forecasting & Replenishment (LDE/FF)/Cloud Solutions

Loves Travel Stops & Country Store

Oklahoma City, OK

Full-time

Re-posted 17 days ago


Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 799 frontline employees who took The Breakroom Quiz

399th of 733 rated retailers


Job description

Req ID: 486250  

Welcome to Love's!  Our IT Supply Chain Distribution team is  looking for a Sr. Systems Analyst to serve as the functional and data-driven lead for Blue Yonder (BY) cloud solutions with a primary focus on Forecasting & Replenishment, specifically LDE and FF. This role provides day-to-day direction on system usage, configuration support, and business process alignment-ensuring forecasting, replenishment, and supply planning outcomes are accurate, explainable, and operationally adopted. A core expectation is a clear understanding of Blue Yonder data within the PDC (Product/Data Cloud environment) and the end-to-end mapping of PDC data into downstream BY applications, including how master data, hierarchies, measures, and integration objects drive LDE/FF behaviors and outputs. Secondary (nice-to-have) scope includes broader BY modules and Space/Floor Planning conce. *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.*   

Job Functions:

  • Provide functional leadership and guidance on the effective use of Blue Yonder capabilities (LDE/FF/CatMan), translating business objectives into actionable system improvements through configuration, feature enablement, data modifications,
  • Analyze forecast/replenishment performance and root cause issues (bias, volatility, poor causal inputs, master data defects), monitoring the solution for performance and model efficiency and effectiveness
  • Own the understanding and documentation of the Blue Yonder platform at Love's, including data and integrations into, out of, and within Blue Yonder, business rules and logic, flexible editor pages, AI models, and business function alignment for Forecasting, Replenishment, and CatMan (Space & Floor Planning)
  • Execute or support configuration changes for Blue Yonder LDE/FF/CatMan (where applicable) and coordinate with technical teams
  • Create user stories, test scripts, and defects and execute functional testing for enhancements, data model changes, feature enablement, and vendor-related upgrades and modifications
  • Provide support and post-release monitoring to ensure stability and adoption of solutions
  • Collaborate with data engineers, integration engineers, and Blue Yonder resources to design solutions and resolve issues
  • Clear understanding and ability to leverage AI within the Blue Yonder solutions to drive business value
  • Stay abreast of Blue Yonder feature roadmaps to provide findings and recommendations to leadership, including usage, impacts, and risk assessments
  • Supports broader team and enterprise goals by proactively contributing to initiatives outside of core responsibilities.
  • Other duties as assigned.

Experience and Qualifications:

  • Bachelor's degree typically required
  • Preferred fields of study:
    • Management Information Systems (MIS)
    • Supply Chain Management
    • Data Analytics
    • Industrial Engineering
    • Or a related technical or quantitative discipline
  • 3-7 years of hands-on experience implementing, configuring, or supporting Blue Yonder Forecasting & Replenishment cloud solutions, with a strong preference for LDE (Luminate Demand Edge) and/or FF (Fulfillment Forecasting).
  • Proven experience working in retail, grocery, CPG, or other highvolume environments with complex item/location/store hierarchies.
  • Strong understanding of end-to-end forecasting and replenishment processes, including how master data, hierarchies, measures, and integrations influence planning outputs.
  • Experience partnering with business stakeholders, IT, and vendors to deliver scalable, explainable planning solutions.

 

SKILLS

  • Soft Skills:
    • Influencing without formal authority
    • Translating technical and data concepts effectively for both technical and non-technical audiences
    • Applying structured problem-solving techniques, including hypothesis formulation, root cause analysis, and delivering practical recommendations
    • Understanding change management and control processes
    • Fostering collaboration

Hard Skills:

  • Data mapping and modeling, forecasting methods, and machine learning models
  • Replenishment logic, planning calendars, and lead times within Artificial Intelligence and Machine Learning frameworks
  • Proficient analytical and data querying skills (SQL, Snowflake) alongside effective use of business intelligence data access tools
  • Development of process flows, user stories, configuration specifications, and acceptance criteria
  • Testing rigor encompassing scripting, execution, regression, performance, and automation, coupled with KPI design and monitoring

Work Environment:

    • Prolonged sitting, some bending and stooping
    • Eye strain (screen use)
    • Operation of a computer keyboard and calculator
    • Occasional lifting up to 25 pounds

Typical Physical Demands: 

  • Requires normal range of hearing and vision
  • Additional hours may be necessary
  • Possibility for travel based on project needs

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.


What Love's Travel Stops employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom