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Quantitative Data Engineer Jobs in Kansas (NOW HIRING)

... engineering. The Team Black & Veatch's Infrastructure Advisory Business provides a portfolio of ... Collect, analyze and interpret quantitative and qualitative data to provide insights, identify ...

Strong quantitative, analytical, problem solving, organizational, communication and interpersonal ... Reports directly to Automated Data Sourcing Manager * Interacts with other colleagues at all levels ...

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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 cities in Kansas are hiring for Quantitative Data Engineer jobs? Cities in Kansas with the most Quantitative Data Engineer job openings:
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.

Senior Analytics Specialist

Jones Lang LaSalle IP, Inc.

Wichita, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


JLL rating

8.3

Company rating: 8.3 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

44th of 201 rated real estate companies


Job description

JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Senior Analytics Specialist
About the Role
Lead complex analytics initiatives that drive strategic insights and organizational performance improvements. This role combines advanced technical expertise with mentorship responsibilities, working autonomously on high-impact projects while collaborating with developers and account teams to deliver exceptional client value across JLL's commercial real estate portfolio.
Key Responsibilities
  • Lead project discovery sessions with advanced ROI assessments and stakeholder prioritization for complex analytics initiatives
  • Develop sophisticated solution designs and technical specifications translating multi-faceted business requirements into data solutions
  • Design and execute launch strategies including training, change management, and comprehensive UAT oversight
  • Generate proactive insights through scenario modeling and advanced analytics to support strategic decision-making
  • Apply expert knowledge of AzaraAI and analytics platforms to deliver innovative solutions for complex business challenges
  • Overlay client insights, market data, and research to enrich analytics and enable JLL solution cross-selling
  • Mentor Analytics Specialists and contribute to team capability development
  • Partner with offshore technical delivery teams to ensure successful solution implementation

Required Skills and Experience
  • Bachelor's degree in Data Science, Business Analytics, Statistics, or related quantitative field
  • 4-6 years of progressive experience in business intelligence, data strategy, or analytics roles
  • Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred)
  • Demonstrated expertise in statistical analysis and scenario modeling
  • Expert knowledge of visualization tools (Tableau, Power BI, or equivalent)
  • Proficiency in Python/PySpark for data analysis and transformation
  • Experience with cloud-based analytics solutions (Azure ecosystem preferred)
  • Strong stakeholder management skills with proven ability to translate technical concepts for business audiences
  • Excellent written and verbal communication skills
  • Demonstrated track record of driving client value through analytics insights

Preferred Skills and Experience
  • Master's degree in Data Science, Business Analytics, or related field
  • Experience with Azara platform or similar commercial real estate analytics solutions
  • Hands-on experience implementing CI/CD pipelines for data solutions and version control with Git
  • Background in data migration projects and platform modernization initiatives
  • Knowledge of agile project management principles, DevOps practices, and UAT methodologies
  • Experience in change management and solution adoption strategies
  • Understanding of commercial real estate sector data, metrics, and analytics applications
  • Experience working in complex, multinational client environments

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Estimated compensation for this position:
90,000.00 - 110,000.00 USD per year
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
Remote -Atlanta, GA, Dallas, TX, Pensacola, FL, Tallahassee, FL, Wichita, KS
If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:
  • 401(k) plan with matching company contributions
  • Comprehensive Medical, Dental & Vision Care
  • Paid parental leave at 100% of salary
  • Paid Time Off and Company Holidays
  • Early access to earned wages through Daily Pay

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
JLL Privacy Notice
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
For additional details please see our career site pages for each country.
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.
Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.
California Residents only
If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.
Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accepting applications on an ongoing basis until candidate identified.

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