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Quantitative Data Engineer Jobs in Kansas (NOW HIRING)

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 ...

University of Pennsylvania

$7.25 - $25/hr

Strong ability to read and understand quantitative social science or computational research ... Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The ...

Ra

Marketing Analytics Manager

Kansas City, KS

You will be using quantitative methods to assess the impact of offline and digital marketing. You ... Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other ...

Valence Surface Technologies

Quality Engineer

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 ...

Valence

Quality Engineer

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 ...

Sunflower Bank NA

Model Risk Analyst

Overland Park, KS · Hybrid

... quantitative models. This role ensures that models-used for credit risk, liquidity risk, market ... Act as a key point of contact with model developers and owners to discuss validation findings and ...

Sunflower Bank NA

Model Risk Analyst

Overland Park, KS · On-site

... quantitative models. This role ensures that models-used for credit risk, liquidity risk, market ... Act as a key point of contact with model developers and owners to discuss validation findings and ...

Varsity Tutors

College Math Tutor

Overland Park, 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 ...

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 ...

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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 Kansas? For Quantitative Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Kansas look for? The top searched job categories for Quantitative Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Quantitative Data Engineer jobs? Cities in Kansas with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Model-Based Systems Engineer

Textron

Wichita, KS • On-site

Full-time

Posted 7 days ago

Textron rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

31st of 72 rated aerospace companies

Job description

JOB SUMMARY:
The Model-Based Systems Engineer (MBSE) applies an interdisciplinary engineering approach to 'whole system' design by defining requirements, analysis, verification, and validation with modeling and simulation tools using industry best standards, in place of the documentation used for traditional Systems Engineering. Applies Systems Engineering principles as defined by the Warfighting Acquisition University (WARU) Systems Engineering Process Model to a system throughout its life cycle, from development through production, deployment, training support, operation, and disposal--as defined by customer requirements.
Applies a logical sequence of activities and decisions that transforms an operational need into a description of system performance parameters and a preferred system configuration. The Model-Based Systems Engineer works together with project managers and the engineering team to ensure that design work aligns with customer requirements in a way that can be verified early in the design process. The MBSE also works through each phase of the given system and process, from plan along with expansion to validation and operation, on measurable risk assessment, regularly concentrating on performance, testing, scheduling, and budgets.
The MBSE uses a digital engineering approach to develop a system-of-systems model that serves as the authoritative source of truth during design, development, sustainment and retirement of a system. The Model-Based Systems Engineer is also central to the development of Modular Open Systems Approach (MOSA) requirements and design.
This role satisfies Defense program contractual requirements which are referenced in the WARU Systems Engineering Guidebook
JOB RESPONSIBILITIES:
  • Model - Based Systems Engineering & Architecture
    • Develop, integrate, and maintain SysMLv2 - based system architectures using tools such as CAMEO to support requirements definition, behavioral modeling, interface design, and system verification.
    • Train coworkers on CAMEO best practices to promote standardization and efficiency.
    • Establish and manage a persistent digital thread that links requirements, architectures, design data, analyses, simulations, verification artifacts, and configuration baselines.
    • Create and evolve digital twin models to support performance prediction, design trades, reliability assessments, and simulation - based decision making.
    • Apply Warfighting Acquisition University (WARU) Systems Engineering Fundamentals and Systems Engineering Guidebook throughout the system life cycle, ensuring disciplined and compliant engineering processes.

  • Requirements Development & Management
    • Translate customer needs, mission objectives, concept of operations (CONOPS), and stakeholder expectations into measurable system and performance requirements.
    • Use MBSE tools to maintain requirements traceability from top - level mission needs down to subsystem specifications and test objectives.
    • Ensure FAA, MIL-HDBK 516, Foreign Military Airworthiness Authorities, and other certification requirements are integrated into models, requirement sets, and verification plans.
    • Manage requirements database for all projects using IBM DOORS requirements database.
    • Document requirements in aircraft requirements documents, system requirements documents, and performance specifications. Includes but not limited to:
      • Systems Engineering Management Plan (SEMP)
      • System Requirements Document (SRD)
      • Sub-System Requirements Document (SSRD)
      • Aircraft Description Document (ADD)
      • Test and Evaluation Master Plan (TEMP)
    • Conduct requirements traceability analyses, develop and maintain requirements traceability matrix.
    • Prepare for, support and advise functional disciplines in conduct of Functional Configuration Audits and requirement compliance activities.

  • Technical Leadership & Decision Support
    • Lead and conduct technical design reviews including, but not limited to, System Requirements Reviews (SRR), Preliminary Design Reviews (PDR), Critical Desing Reviews (CDR), Technical Readiness Reviews (TRR), providing model - based evidence, architecture rationale, and quantitative technical risk insights.
    • Facilitate system trade studies and architecture analyses using model - centric approaches to evaluate alternatives across cost, schedule, performance, MOSA compliance, and digital integration.
    • Provide technical direction to cross - functional teams, ensuring engineering decisions are grounded in model data, system requirements, and verified architectural integrity.

  • Digital Engineering & MOSA Implementation
    • Drive Textron Aviation's digital transformation by developing and promoting MBSE methods, reusable models, modeling standards, and best practices.
    • Implement Modular Open Systems Approach (MOSA) principles in system models, interface designs, and architecture artifacts to improve modularity, interoperability, and lifecycle sustainment.
    • Champion the migration from document - centric processes to model - based, data - driven engineering, helping teams adopt digital workflows and new competencies.

  • Lifecycle Integration & Program Execution
    • Support propulsion, avionics, software, structures, payloads, and mission systems teams by ensuring model accuracy, interface consistency, and end - to - end system traceability.
    • Collaborate with project managers to align technical baselines, risk profiles, schedule drivers, and earned value measures with the model - based architecture.
    • Contribute to proposal development through early modeling of system concepts, capability decomposition, risk identification, and requirements definition.
    • and developing implementation plans

  • Proposal Development
    • Ensure requirements are known in the early stages of the proposal process to support internal and supplier statements of work and requirements documentation.
    • Ensure requirements are understood and addressed in proposed solutions for added capabilities.
    • Conduct trade studies.

  • Technical reviews
    • Conduct/Support Life Cycle Gate reviews in accordance with Textron New Product and Service Introduction (NP&SI) process and DoDI 5000.02 Defense Acquisition Life Cycle Compliance
    • Ensure product and functional requirements are addressed by the design in tech review materials.
    • Ensure company processes and maturity gates for product development are addressed in tech review materials; obtain required approvals.
    • Document outcomes and results from technical reviews.

  • Company/Division Roles
    • Understand, apply, provide updates to, and maintain E463089 Requirements Manual
    • Support the development of future product improvements and R&D investment plans. To include identification of customer requirements, internal assessment within the program, and developing implementation plans

EDUCATION/ EXPERIENCE:
  • Bachelor's Degree in:
    • Electrical Engineering
    • Mechanical Engineering
    • Aerospace Engineering
    • Other related field

  • Master's Degree (desired, not required)
    • Systems Engineering
    • Other related Engineering degrees

  • Minimum of 5 years of engineering experience or relative aviation technical or systems experience.

QUALIFICATIONS:
  • SysML background with experience in Dassault No Magic/CAMEO required.

  • Familiarity with AFSIM (Advanced Framework for Simulation, Integration, and Modeling) desired.

  • Familiarity with Modular Open System Approach (MOSA) design.

  • Familiarity with FAA, USG military programs and certification activities preferred

  • Strong organizational skills and attention to detail

  • Ability to multi-task in a very fast paced environment

  • Strong verbal and written communication skills

  • Ability to influence without authority and exhibits managerial courage

  • Strong business acumen

  • Professional and diplomatic demeanor

  • Strong sense of accountability and integrity

  • Time management skills to support multiple concurrent projects

  • Advanced working knowledge of standard Microsoft Office and Adobe products

Textron Aviation Inc. must comply with U.S. export control laws. If a position requires access to information controlled under U.S. regulations applicant must be eligible to meet any requirements to access controlled information.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923

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