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

Senior Sensor Algorithms Software Engineer

Olathe, KS · On-site

$118K - $156K/yr

Perform significant mathematical, statistical, and data analysis as part of the algorithm ... Strong quantitative, math, statistics, physics, and dynamics knowledge. Desired Qualifications

New

Employ both qualitative/quantitative research methods to answer research questions * Moderate ... Use data analysis results to identify usability issues, benchmark products, discover opportunities ...

New

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 ...

SQL developer

Topeka, KS · On-site

$80K/yr

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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Showing results 1-20

Quantitative Data Engineer information

See Lawrence, KS salary details

$10.4K

$122.3K

$186.7K

How much do quantitative data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative data engineer in Lawrence, KS is $122,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $130,600.00 per year, depending on experience, location, and employer.

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 Lawrence, KS?

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

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

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

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

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

Infographic showing various Quantitative Data Engineer job openings in Lawrence, KS as of June 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,283 per year, or $58.8 per hour.

Data Operations Specialist Head Start (Data Quality, Records & Governance)

JBS International

North Bethesda, MD

Full-time

Re-posted 19 days ago


Job description

The Research Coordinator provides vital administrative support to project teams to ensure contract requirements are met and maintained. The Research Coordinator will maintain existing data systems and records and supports grant management processes under the guidance of senior staff.

ESSENTIAL JOB FUNCTIONS:

  • Maintain and track data to support grant administration. Data may include, but are not limited to: grant application processing and award, enrollment reporting, deployment of monitoring events and training and technical assistance, information collection during monitoring reviews, datasets, dashboards, and reports.

  • Integrate multiple data sources to support grant administration processes.

  • Review existing data systems to check for data quality and ensure that records are maintained to support quality assurance.

  • Follow processes under the guidance of senior staff to review and identify inaccurate data or improperly maintained records.

  • Automate repetitive tasks, maintain reusable data, and work effectively using SQL.

  • Clean, prepare, and validate quantitative and qualitative data to be analyzed by Data Analysts and Data Engineer staff.

  • Support and monitor data collection including programming surveys using Qualtrics and Alchemer. Data collection activity may involve organizing and maintaining data from quantitative and qualitative sources while ensuring quality and accuracy.

  • Monitor tasks and deliverables as set by senior staff to support contract compliance

MINIMUM JOB REQUIREMENTS:

Education:

  • Bachelors Degree in Information Management, Library Science or related field from an accredited university or college

Experience:

  • 3 years of experience comprising 2 years of focused data management experience with additional experience including a combination of college labs, internships.

Skills:

  • Proficient in Excel or Smartsheet

  • Foundational knowledge of SQL

  • Experience leveraging GitHub, managing documentation on Confluence or SharePoint

  • Strong problem solving, analysis, communication, and teamwork skills

  • Excellent organization and time management skills

  • Ability to write clearly and concisely with attention to detail and target audience focus

  • Strong analytical and critical thinking skills

Language:

English fluency (oral and written)

Software Proficiency:

Microsoft Office (Excel, Outlook, PowerPoint, Power BI), Smartsheet

Project Management (Jira, Confluence, GitHub, Monday.com)

Foundational Programming in SQL

LOCATION:

This is an onsite position, you must be able to report to one of the following locations:

Philadelphia, PA

Washington, DC

Denver, CO

Kansas City, MO

Dallas, TX

Atlanta, GA

SECURITY CLEARANCE:

Ability to pass background investigations as required for access to federal facilities and systems.

TRAVEL: up to 10 percent.

Physical Requirements

  • Extended Computer Use: Ability to sit for extended periods and operate a computer keyboard and mouse.

  • Vision: Must be able to see and read computer screens and printed materials.

  • Dexterity: Capable of using hands and fingers to operate equipment and perform tasks requiring precision.

  • Communication: Able to effectively communicate verbally and in writing with team members and stakeholders.

  • Mobility: Frequently required to stand, walk, reach, and bend to access office equipment and attend meetings.

  • Lifting: Ability to lift and carry up to 50 pounds for short distances.

  • Sensory Abilities: Must be able to perceive and interact with the environment using hearing and speaking skills.

  • Work Environment: Primarily works in a typical office environment, with exposure to computer screens and moderate noise levels.

PREFERRED JOB REQUIREMENTS:

  • Data quality assurance and validation

  • Data governance principles knowledge

  • Document management systems experience

  • Metadata management experience

Other Duties Assigned:This position description should not be construed to imply that these requirements are the exclusive standards of the position, nor will it be the sole basis for any subsequent employee evaluations. Incumbents will follow any other instructions and perform any other related duties as may be required by their supervisor.

This position is subject to availability of funds and to any and all restrictions contained in the contract or contracts that provide funding for this position.

APPLICATION INFORMATION:

If you meet the minimum requirements for this position, please click on the "Apply" link posted below and complete the application. Please include cover letter, resume, and at least (3) professional references.

Our company is an equal opportunity/affirmative action employer. Applicants can learn more about the company's status as an equal opportunity employer by viewing the federal "EEO" poster at EEOPost.pdf. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected Veteran status.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at jobs@jbsinternational.com and let us know the nature of your request and your contact information.