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Azure Data Platform Engineer Jobs in Kansas (NOW HIRING)

Azure AI Developer

Overland Park, KS · On-site

$54.50 - $67.50/hr

The role involves hands-on development with a focus on AI, requiring a full stack developer with skills in C#, .NET, React, Python, and Azure cloud platform. Qualifications : Required : • Hands On ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Lead the development and maintenance of SKC's centralized data platform. * Develop and manage ... Experience working with modern cloud-based data infrastructure (i.e., Azure, AWS or GCP)

The role blends applied data science, large language model (LLM) evaluation, and platform engineering to make high-value insights accessible and trustworthy at scale. Key Responsibilities: * Design ...

The role blends applied data science, large language model (LLM) evaluation, and platform engineering to make high-value insights accessible and trustworthy at scale. Key Responsibilities: * Design ...

Lead Platform Engineer

Olathe, KS · On-site

$100 - $125/hr

Supports and improves CI/CD pipelines, container platforms, and related developer tooling ... Uses monitoring and operational data to improve uptime, capacity, and service reliability

Senior Platform Engineer

Olathe, KS · On-site

$101K - $138K/yr

Overview We are seeking a full-time Senior Platform Engineer at Garmin's U.S. headquarters in the ... Use monitoring and operational data to improve uptime, capacity, and service reliability * Research ...

Senior Platform Engineer

Olathe, KS · On-site

$98K - $135K/yr

Garmin is seeking a full-time Senior Platform Engineer at their U.S. headquarters in the Greater ... data to improve uptime, capacity, and service reliability • Research technologies and evaluate ...

Lead Platform Engineer

Olathe, KS · On-site

$97K - $127K/yr

Garmin is seeking a full-time Lead Platform Engineer at their U.S. headquarters in the Greater ... data to improve uptime, capacity, and service reliability • Research technologies and evaluate ...

Showing results 41-60

Azure Data Platform Engineer information

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are popular job titles related to Azure Data Platform Engineer jobs in Kansas?

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

What cities in Kansas are hiring for Azure Data Platform Engineer jobs?

Cities in Kansas with the most Azure Data Platform Engineer job openings:

Infographic showing various Azure Data Platform Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Artificial Intelligence (AI) Engineer

Children's Hospital Association

Lenexa, KS • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Job description

Join us in shaping a healthier future for kids. At Children's Hospital Association, we unite more than 200 member hospitals to put children first—advancing care, informing policy, and driving progress together.

Where You’ll Work

The position is based in our Lenexa, KS office. We leverage a hybrid working model, working three days in the office, two days optional remote work.

Visa sponsorship is not available for this position.

What You’ll Do

The Artificial Intelligence (AI) Engineer is responsible for designing, developing, and deploying artificial intelligence solutions that solve complex problems and automate business processes. This role applies expertise in software engineering, machine learning, and data science to build, train, and optimize AI models, such as chatbots, recommendation engines, and predictive systems.

  • Design, develop, and deploy AI agents using Microsoft Azure OpenAI, Copilot Studio, and the Power Platform to support data validation, workflow automation, and issue resolution.
  • Apply prompt engineering, fine‑tuning, and optimization techniques to improve model accuracy, reliability, and performance; retrain or refine models as needed.
  • Integrate AI solutions and capabilities into enterprise applications and workflows, ensuring scalability, maintainability, and adaptability.
  • Design, implement, and optimize AI infrastructure within Microsoft Azure, including service selection, environment configuration, and security controls.
  • Collaborate with cross‑functional teams to align AI initiatives with organizational priorities and support continuous improvement initiatives, providing technical guidance and support.
  • Establish and maintain cloud usage frameworks that ensure security, compliance, and responsible AI practices.
  • Ensure AI solutions comply within internal governance standards and external regulatory requirements (e.g., HIPAA, SOC 2).
  • Develop and maintain clear, up‑to‑date documentation for AI architectures, integrations, and operational procedures.
  • Stay current with Microsoft’s AI roadmap and identify opportunities to leverage new capabilities for business value.
What You’ll Bring to CHA
  • A bachelor’s or master’s degree in computer science, data science, or a related technical field.
  • Minimum of 5 years of experience in AI/ML engineering, including at least 3 years working with Microsoft Azure AI stack.
  • Minimum of 2 years of hands‑on experience with Copilot Studio, Azure OpenAI, and Power Platform.
  • Proficiency in Python, Microsoft Graph API, and cloud‑native development practices.
  • Experience with big data platforms such as Azure Data Lake.
  • Strong understanding of large language models (LLMs), natural language processing (NLP), and prompt engineering.
  • Demonstrated success deploying scalable, production‑ready AI solutions in enterprise environments.
  • Excellent analytical, problem‑solving, and communication skills.
  • Commitment to continuous learning in a rapidly evolving AI landscape.
Our Perks and Benefits
  • Medical, dental and vision insurance
  • Retirement Savings program with generous company contribution
  • Health Savings Account with company contribution
  • Wellness programPaid time off and personal days
  • 9 paid holidays
  • And more!
Compensation

This pay range shown is a guideline. Min: $108,000 Max: $200,000. Compensation is based on factors such as qualifications, skill level, and competencies; it is based on the role’s location and is subject to change based on work location.

Diversity, Equity and Inclusion

CHA is committed to advancing diversity, equity and inclusion within our organization, our membership, the care delivery of children’s hospitals and their communities and through the federal policymaking environment. We strive to ensure organizational cultures where everyone feels valued and actively participates in the mission of our organizations. We remain vigilant in our quest for a diverse and inclusive community and in standing against racism and discrimination wherever it exists.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and protected veteran status, or disability status.

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