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Data Engineer Jobs in Kansas (NOW HIRING)

Velocity Staff

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 ...

Garmin International, Inc.

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

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 ...

Velocity Staff

Jr/Mid SQL DBA

Kansas City, MO

$48.75 - $60.75/hr

Ensure data security, integrity, and compliance with best practices * Develop complex queries and reporting solutions using SSRS * Support physical and logical database administration for internal CR ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads ...

CrowdStrike

CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key ...

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows. * Collaborate closely with the First Team Data Analyst ...

Moore

Data Programmer

Topeka, KS · On-site

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex processing workflows, focusing on creating end-to-end solutions for data transformations and large ...

Mariner

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into ...

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All JobsData Engineer JobsData Engineer Jobs in Kansas

Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 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.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Kansas?

The most popular types of Data Engineer jobs in Kansas are:

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

What job categories do people searching Data Engineer jobs in Kansas look for?

The top searched job categories for Data Engineer jobs in Kansas are:

What cities in Kansas are hiring for Data Engineer jobs?

Cities in Kansas with the most Data Engineer job openings:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Senior Data Engineer

Velocity Staff

Overland Park, KS • On-site

$104K - $142K/yr

Full-time

Re-posted 25 days ago

Job description

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 expertise in data warehousing, data pipeline creation/support and analytical reporting and be responsible for gathering and analyzing data from several internal and external sources, designing a cloud-focused data platform for analytics and business intelligence, reliably providing data to our analysts. This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively with cross-functional teams.


  • Work with Data architects to understand current data models, to build pipelines for data ingestion and transformation.
  • Design, build, and maintain a framework for pipeline observation and monitoring, focusing on reliability and performance of jobs.
  • Surface data integration errors to the proper teams, ensuring timely processing of new data.
  • Provide technical consultation for other team members on best practices for automation, monitoring, and deployments. 
  • Provide technical consultation for the team with “infrastructure as code” best practices: building deployment processes utilizing technologies such as Terraform or AWS Cloud Formation.

  • Bachelor’s degree in computer science, data science or related technical field, or equivalent practical experience
  • Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB, Elasticsearch)
  • Experience building and maintaining AWS based data pipelines: Technologies currently utilized include AWS Lambda, Docker / ECS, MSK 
  • Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce)
  • Experience with version control (git) and peer code reviews
  • Enthusiasm for working directly with customer teams (Business units and internal IT)
  • Preferred but not required qualifications include: 
    • Experience with data processing and analytics using AWS Glue or Apache Spark
    • Hands-on experience building data-lake style infrastructures using streaming data set technologies (particularly with Apache Kafka)
    • Experience data processing using Parquet and Avro
    • Experience developing, maintaining, and deploying Python packages
    • Experience with Kafka and the Kafka Connect ecosystem.
    • Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick Sight, and Excel.   

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