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Cloud Data Engineer Jobs in Kansas (NOW HIRING)

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The Data Engineer designs, builds, and supports scalable data products and platform capabilities ... Experience with Confluent Cloud and Apache Kafka concepts, including topics, partitions, schemas ...

PayIt

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience with RDBMS, NoSQL and Cloud data storage technologies - AWS DocumentDB, MongoDB ...

New

Textron

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Textron

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Beechcraft Aircraft

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Textron

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists. The IT Data Engineer will work as ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

The Data Engineer will be responsible for building a strong data ecosystem to support a company ... cloud-based capabilities that enable the AWG community. • Communicate priorities to the ...

PayIt

Associate Data Engineer

Kansas City, KS

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience with RDBMS, NoSQL and Cloud data storage technologies - AWS DocumentDB, MongoDB ...

New

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Description: 27Global is a rapidly growing company in the dynamic industry of software, cloud, and data engineering. We pride ourselves on the quality of the services we deliver, the clients we serve ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Description: 27Global is a rapidly growing company in the dynamic industry of software, cloud, and data engineering. We pride ourselves on the quality of the services we deliver, the clients we serve ...

Bespoke Labs

Data Engineer

Topeka, KS · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Overland Park, KS · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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How much do cloud data engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for cloud data engineer in Kansas is $56.08, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $63.89 per hour, depending on experience, location, and employer.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and storage solutions in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data security, and optimize data workflows to support analytics and business intelligence. Proficiency in programming, database management, and cloud services is essential for this role.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.
What are popular job titles related to Cloud Data Engineer jobs in Kansas? For Cloud Data Engineer jobs in Kansas, the most frequently searched job titles are:
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What cities in Kansas are hiring for Cloud Data Engineer jobs? Cities in Kansas with the most Cloud Data Engineer job openings:
Cloud Data Engineer jobs near you
Infographic showing various Cloud 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,656 per year, or $56.1 per hour.

Data Engineer

Murphy-Hoffman Company

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Job Details
Job Title
Data Engineer
Business Function
Corporate
Branch Name
Murphy-Hoffman Company
Date
04-07-2026
Address
4501 College Blvd
City
Leawood
State
KS
Job Overview & Essential Functions
Murphy-Hoffman Company, LLC is North America's largest Kenworth truck Dealership and Leasing group. As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer designs, builds, and supports scalable data products and platform capabilities that enable trusted, timely, and governed data across the organization. This role develops and maintains batch and real-time data pipelines, integrates data from operational and third-party systems, and transforms raw data into analytics-ready assets for reporting, self-service analytics, operational intelligence, and advanced analytics use cases. The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in Leawood, KS.
  • Designs, develops, tests, deploys, and maintains scalable data pipelines, ingestion solutions, and data integration processes that support batch and real-time / streaming workloads using tools and services such as Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Confluent Cloud, Kafka, and Flink.
  • Implements and supports change data capture (CDC), event-driven, and streaming architecture patterns, including Kafka topics, schema-aware ingestion, and near-real-time data delivery to downstream consumers.
  • Develops data transformations and curated datasets using SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI / machine learning use cases.
  • Creates and maintains data models, lakehouse / warehouse structures, and semantic-ready datasets that enable scalable, trusted, and high-performing downstream analytics and reporting.
  • Collaborates with data architects, analysts, application teams, and business stakeholders to define source-to-target mappings, business rules, data contracts, and solution designs that align with enterprise standards and business needs.
  • Builds and maintains reusable frameworks, templates, engineering standards, and deployment practices; including CI/CD, version control, and release processes for notebooks, dbt models, SQL objects, and pipeline definitions to improve consistency, scalability, speed, and long-term maintainability across the data platform.
  • Applies data quality, testing, reconciliation, monitoring, and documentation practices to ensure data completeness, accuracy, freshness, reliability, supportability, knowledge transfer, and auditability.
  • Troubleshoots data platform issues, production incidents, and root causes; communicates impacts and recommended resolutions clearly to technical and business stakeholders; and stays current on modern data engineering patters, platform capabilities, and security / governance requirements to recommend improvements that increase platform maturity and business value.
  • Performs other duties as assigned by supervisor.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Analytics, Engineering, or a related field; equivalent practical experience may be considered.
  • Demonstrated experience designing and building data pipelines, data integration solutions, and analytical data models in cloud data platform environments, with a strong understanding of data warehousing, dimensional modeling, lakehouse concepts, and enterprise data best practices.
  • Strong proficiency in SQL and data transformation techniques, with hands-on experience using Python and/or PySpark for pipeline development and data processing, as well as modern engineering practices such as dbt, source control, testing, documentation, and CI/CD.
  • Experience with Snowflake and/or Microsoft Fabric for data engineering, storage, transformation, and analytics enablement.
  • Experience working Azure Data Factory (ADF) or comparable orchestration tooling for enterprise data movement, scheduling, and workflow automation.
  • Experience with Confluent Cloud and Apache Kafka concepts, including topics, partitions, schemas, event-driving processing, streaming integration patters, and CDC / near-real-time data delivery.
  • Ability to work in a team environment and independently and collaboratively in a fast-paced environment with multiple priorities and changing requirements, with strong written and verbal communication skills and the ability to explain technical issues, tradeoffs, and recommended resolutions to diverse audiences.

Benefits
  • Competitive Salary
  • Medical, Dental and Prescription Insurance
  • Disability and Life Insurance
  • Paid Time Off program
  • 401k and Profit Sharing with Employer Match
  • Flexible Spending Account
  • Internal Promotion Opportunities
  • On the Job Training

About Us
MHC is an expansion of the original company, Ozark Kenworth, Inc. Ozark Kenworth started in Springfield, Missouri, in January 1975. Opening for business without a Parts or Service department and only three employees in a temporary facility. From there, the company grew and expanded. MHC is now a multi-state network of full-service diesel truck dealerships, leasing and rental operations, transport refrigeration locations, and a finance company which offers a complete array of finance and insurance services. We believe in fostering an environment that helps employees realize their full potential - a place where you can grow as a person and a professional.
Equal Opportunity Employer / Veterans / Disabled

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