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Data Engineer Jobs in Shawnee, KS (NOW HIRING)

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes.

Senior Data Engineer I

Kansas City, MO · On-site

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way every business gains access to the working capital they need to thrive. At C2FO, everyone is an ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity will have a direct ...

Healthcare Data Engineer, Team Lead

Kansas City, MO · On-site

$111K - $134K/yr

Job Summary Hart is seeking a motivated, healthcare data engineer with minimum 5 years of experience to join our Delivery team as a technical team lead. This role focuses on developing, maintaining ...

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their ...

Senior Data Engineer

Olathe, KS · On-site

$100 - $130/hr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for leading administration of technology ...

Sr Engineer Data

Overland Park, KS

$104K - $142K/yr

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and file ingestion frameworks. This role will collaborate with cross-functional value stream teams ...

About the Role As a Forward Deployed Data Engineer -- SIEM/SOAR, you build the content that powers TENEX's MDR delivery. From detection rules and log parsers to SOAR playbooks, dashboards, and custom ...

Sr Engineer Data

Overland Park, KS · On-site

$125 - $150/hr

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and file ingestion frameworks. This role will collaborate with cross-functional value stream teams ...

Manager, Data Engineering

Kansas City, MO · On-site +1

$111K - $134K/yr

As the Data Engineer, you will maintain, clean and manipulate data in our operational and analytics databases. You will work with our data scientists, data analytics teams, reporting teams, and IT to ...

Role Summary The Senior Data Engineer designs, implements, and evolves enterprise data and machine learning capabilities using Microsoft Fabric and related modern data platforms. This role emphasizes ...

Showing results 41-60

Data Engineer information

See Shawnee, KS salary details

$42.1K

$122.8K

$168K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Shawnee, KS is $122,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,100.00 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 Shawnee, KS?

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

What are popular job titles related to Data Engineer jobs in Shawnee, KS?

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

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

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

Infographic showing various Data Engineer job openings in Shawnee, KS as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $122,756 per year, or $59 per hour.

Staff Data Engineer

WellSky

Overland Park, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

180th of 247 rated software companies


Job description

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes. The scope of this job includes collaborating with data scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security.
Location: This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland Park, KS will join our WHQ community and participate in our in-office collaboration experience.
Key Responsibilities:
  • Lead, develop, and maintain the data architecture, data models, and standards for various data integration and data warehousing in enterprise data warehouse.
  • Research, develop, and maintain data solutions to enable new or existing solutions and BI development for the enterprise driven data warehouse and data visualization solutions.
  • Maintain current data infrastructure for performance, scalability, and reliability across all data workflows.
  • Influence code reviews through WellSky solution subject matter expertise.
  • Develop and train teammates for data security, architecture, and governance requirements while maintaining data quality standards through automation.
  • Adhere to WellSky core values, ensure PHI data security, and adapt to changing BI technologies.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's Degree or equivalent work experience
  • At least 8-12 years of relevant work experience

Preferred Qualifications:
  • Hands-on experience managing replication tools (HVR/Fivetran, DataStream, or similar CDC tools) to replicate data from source systems into BigQuery in real-time or near-real-time
  • Experience with event-based data capture and streaming using Apache Kafka, Google Cloud Pub/Sub, or similar messaging platforms
  • Strong experience with star schema design, dimensional modeling, and modern data platform patterns for analytics-ready solutions
  • Experience with Dataflow, Airflow, dbt, Dataform, or equivalent tools for high-volume pipeline orchestration
  • Proficiency in Python, SQL, and Terraform for automated, scalable data engineering
  • Working knowledge of AI-based development tools and workflows (e.g., AI-assisted coding, LLM integration, prompt engineering for data workflows)
  • Working knowledge of reporting and dashboarding tools (Tableau, Looker, Sisense) with experience embedding analytics into multi-tenant client application systems
  • Healthcare industry experience
  • Experience with Google Cloud Platform (GCP) data services
  • Experience with multi-tenant SaaS application architectures

Job Expectations:
  • Willing to work as a part on an on-call rotation
  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

#LI-TC1
#LI-Remote
WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
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