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Quantitative Data Engineer Jobs in Kansas (NOW HIRING)

Highbrow LLC

Power BI Dev/Data Engineer

Overland Park, KS · On-site

$90 - $120/hr

Job Title :- Power BI Dev/Data Engineer Employment Type :- W2 Duration :- Long Term Visa Type ... Demonstrated use of statistical analysis and quantitative approaches to solve complex analytics ...

WellSky

Data Analyst

Overland Park, KS · On-site

... product and engineering to deliver trusted, data-driven insights. The work is retrospective ... Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work ...

WellSky

Data Analyst

Overland Park, KS · On-site

$2.5K/yr

... product and engineering to deliver trusted, data-driven insights. The work is retrospective ... Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work ...

WellSky Corporation

Data Analyst

Overland Park, KS · On-site

$70 - $95/hr

... product and engineering to deliver trusted, data-driven insights. The work is retrospective ... Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work ...

Overstory

Working alongside ML engineers, and a product team, you'll define accuracy for our models, design ... or a related quantitative field * Deep expertise in remote sensing and geospatial analysis ...

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Partner with leadership and technical teams across the organization: collaborate with Engineering ... or a similar quantitative field. * A minimum of 7 years' experience working on data science ...

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Quantitative Data Engineer information

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 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.

Power BI Dev/Data Engineer

Overland Park, KS • On-site

Highbrow LLC
IT Services • 11 - 50 employees
Learn more about Highbrow LLCexternal

$90 - $120/hr

Other

Posted 9 days ago

Job description

Job Title :- Power BI Dev/Data Engineer

Employment Type :- W2

Duration :- Long Term

Visa Type :- All Visa applicable which are ready for W2

Location- Overland Park, KS (Day1 onsite)

Job Description Must-Have:
  • Bachelor’s degree in Computer Science, CIS, Applied Statistics, and 5+ years related experience.
  • Knowledge of distributed big data processing systems (e.g., Apache Hadoop, Apache Spark)
  • At least 2 years of experience with big data processing in a cloud environment (i.e. AWS or Azure)
  • At least 2-3 years of experience scripting in both relational (SQL) and non-relational frameworks (Data Bricks)
  • Strong experience and proficiency in BI data visualization tools (e.g., PowerBI )
  • Strong Power BI development experience (Power Bi Desktop and Service)
  • Experience in writing complex DAX queries and Statistical analysis.
  • Strong experience in Performance tuning, Dataflows, RLS and ETL processes.
  • Knowledge of Power BI Administration.
  • Preferable Power Platform Experience.
Preferable:
  • Design, implement, and validate algorithms to analyze telecom device services and develop key performance metrics.
  • Utilize big and complex device diagnostics datasets to solve difficult, non-routine wireless technology problems.
  • Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
  • Make business recommendations and communicate to senior leadership using strong data visualization and effective story telling.
  • Proficient in the use of Microsoft Office, specifically in the use of Project, Excel, Word, and PowerPoint.
  • Strong understanding of cellular functionality including location services and radio layers (2G, 3G, 4G, and 5G).

Exceptional analytical and problem-solving skills with strong attention to detail. Demonstrated use of statistical analysis and quantitative approaches to solve complex analytics problems

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