1

Data Engineer Jobs in Lawrence, KS (NOW HIRING)

Data Architect

Topeka, KS · On-site

$73K - $95K/yr

We are seeking an experienced Lead Data Architect to oversee our data collection, design, and ... Familiarity with Azure DevOps , Visual Studio , and Windows Server OS . * Strong skills in ...

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

Garmin is seeking a full-time Senior C# Software Engineer on their Map Data team at their U.S. headquarters. In this role, you will help build and evolve the map data systems that power Garmin ...

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term scalability, articulating tradeoffs ...

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term scalability, articulating tradeoffs ...

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm's largest and most complex projects. You will receive instructions on assignment objectives and complex ...

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest and most complex projects. You will serve as a project manager on some projects and lead design ...

Showing results 41-60

Data Engineer information

See Lawrence, KS salary details

$39.5K

$115.2K

$157.6K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Lawrence, KS is $115,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $122,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Lawrence, KS?

The most popular types of Data Engineer jobs in Lawrence, KS are:

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

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

Infographic showing various Data Engineer job openings in Lawrence, KS as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,183 per year, or $55.4 per hour.

Manager, Data Science & Innovation - Wearable Devices

Colgate-Palmolive Company

Topeka, KS

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.

Responsibilities:

  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.

  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.

  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.

  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.

  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.

  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:

  • Master’s degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.

  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.

  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.

  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:

  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.

  • Domain-specific expertise in developing machine learning models for animal behavior analysis.

  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.

  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.

  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

 


Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
#LI-Hybrid


What Colgate-Palmolive employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Colgate-Palmolive logo

About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

Social media