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Quantitative Data Engineer Jobs in Wichita, KS (NOW HIRING)

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Programming skills in R or Python and experience with related machine learning packages. * Proven ... Ability to structure and process qualitative or quantitative data and draw insightful conclusions ...

Textron

Model-Based Systems Engineer

Wichita, KS

... data, analyses, simulations, verification artifacts, and configuration baselines. * Create and ... and quantitative technical risk insights. * Facilitate system trade studies and architecture ...

Textron

Model-Based Systems Engineer

Wichita, KS · On-site

... and quantitative technical risk insights. * Facilitate system trade studies and architecture ... Champion the migration from document - centric processes to model - based, data - driven ...

Textron

Model-Based Systems Engineer

Wichita, KS

... data, analyses, simulations, verification artifacts, and configuration baselines. * Create and ... and quantitative technical risk insights. * Facilitate system trade studies and architecture ...

Global Partners

Technical Product Manager

Newton, KS

$147K - $170K/yr

Work with cross-functional teams, including data scientists, data analysts, engineering, and ... Bachelor's degree in a relevant field such as Business, Computer Science, or related quantitative ...

Valence

Quality Engineer - 1st Shift

Wichita, KS · On-site

$66K - $85K/yr

Identify, acquire, and analyze data using appropriate standard quantitative methods across a spectrum of business environments to facilitate process analysis and improvements. * Understand and ...

Varsity Tutors

College Math Tutor

Wichita, KS · 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 ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

... developers and account teams to deliver exceptional client value across JLL's commercial real ... Bachelor's degree in Data Science, Business Analytics, Statistics, or related quantitative field ...

Global Partners

Advanced Analytics Intern

Newton, KS

$18/hr

... support quantitative analysis and data-driven decision making across our core business units ... engineers to turn raw data into insights that inform how the business operates. At Global Partners ...

New

micro1 AI

Director of Biostatistics

Wichita, KS · Remote

$60 - $65/hr

... 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.

micro1 AI

Director of Biostatistics

Wichita, KS · Remote

$60 - $65/hr

... 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.

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Wichita, KS

Quantitative Data Engineer information

See Wichita, KS salary details

$9.8K

$116K

$177.1K

How much do quantitative data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantitative data engineer in Wichita, KS is $116,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $123,900.00 per year, depending on experience, location, and employer.

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 Wichita, KS?

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

What job categories do people searching Quantitative Data Engineer jobs in Wichita, KS look for?

The top searched job categories for Quantitative Data Engineer jobs in Wichita, KS are:

What cities near Wichita, KS are hiring for Quantitative Data Engineer jobs?

Cities near Wichita, KS with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Wichita, KS 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 $116,000 per year, or $55.8 per hour.

Data Scientist

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

DEPARTMENT: Analytics

JOB TITLE: Data Scientist

REPORTS TO: Director of Analytics


WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful employees. To recruit and retain top-notch talent, we consciously work to make and keep Nuvative an employer of choice. We provide our employees with a culture of kindness, fairness, learning and development, contribution, collaboration, diversity, innovative and fun.

JOB PURPOSE: A Data Scientist at Nuvative, Inc. will have a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. As a Data Scientist at Nuvative, Inc., you will play a key role in analyzing large datasets, developing predictive models, and providing actionable insights to improve our products and services. The Data Scientist also works closely with the other Data Scientists on analysis and prediction of trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives.

ESSENTIAL EXPERIENCE, DUTIES and RESPONSIBILITIES

Data Scientist

RESPONSIBILITIES

  • Analyze large, complex datasets to identify trends, patterns, and insights.
  • Develop predictive models to forecast customer behavior and optimize business outcomes.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.
  • Turn data into insight: segment, cluster, model and mine to better understand behaviors, trends, & performance shortfalls.
  • Find, clean, and integrate data into usable and helpful information.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay current with the latest developments in data science and apply best practices to solve business challenges.
  • Contribute using SQL and Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Identify gaps in current data systems, drive and contribute to development of systems to bridge gap.
  • Plans and executes ongoing strategies including maximization of technologies and processes.
  • Responding with urgency to high priority requests from senior business leaders.
  • Take initiative to make things better and provide solutions for challenges.
  • Anticipate operational needs based on volume/expansion and make recommendations.
  • Drive change – produce clear, understandable visualizations and reports to share with Senior Management.
  • Any other duties as assigned.

QUALIFICATIONS

  • BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred).
  • In depth knowledge and understanding of finance and loan underwriting desired.
  • Background in data mining, machine learning, statistical analysis, and modeling.
  • Strong SQL abilities and experience with massive relational database systems.
  • Programming skills in R or Python and experience with related machine learning packages.
  • Proven track record of assisting business decisions with accurate data and analysis.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

COMPETENCIES

  • Ability to produce significant output with minimal waste of effort.
  • Plans, organizes, and schedules time in an efficient, productive manner.
  • Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
  • Not allowing crucial details to slip through the cracks or derail a project.
  • Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
  • Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences.
  • A decisive individual with excellent organizational skills and the ability to multi-task effectively

WHY WORK FOR US: At Nuvative, you’ll find an environment where our team is the core of what we do and good work is rewarded and growth is valued. Nuvative offers competitive wages to qualified individuals and the opportunity to grow professionally and personally through diverse work experiences and hands on training. The heart of our employee culture are the values that we not only preach, but also practice everyday:

  • Initiative: Handling opportunities with confidence and enthusiasm.
  • Persistence: Moving forward in the face of adversity.
  • Teamwork: Uniting the combined effort of our organization.
  • Respect: Considering the feelings of others in your action.
  • Integrity: Maintaining honesty and strong principles.
  • Innovation: Inspiring progress with results and ingenuity.


WHAT WE CAN OFFER YOU:

  • Medical, Dental and Vision insurance.
  • Flexible Spending Account- Health & Dependent Care available
  • 401(k)- with employer match
  • Voluntary Life Insurance and AD&D
  • Paid time off
  • Holidays
  • Paid Parental leave (after a year)
  • Monthly Company Paid lunch


The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.