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Azure Data Engineer Jobs in Wichita, KS (NOW HIRING)

Data Product Analyst

Wichita, KS · On-site

$70 - $100/hr

Koch Engineered Solutions is seeking a Data Product Analyst for the ET&S data delivery team. The ... Experience with backlog or work-tracking tools (for example, Azure DevOps or Jira) and agile ways ...

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Azure Data Engineer information

See Wichita, KS salary details

$39.8K

$116K

$158.8K

How much do azure data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for azure data engineer in Wichita, KS is $116,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $123,000.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

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

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

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

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

What job categories do people searching Azure Data Engineer jobs in Wichita, KS look for?

The top searched job categories for Azure Data Engineer jobs in Wichita, KS are:

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

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

Infographic showing various Azure Data Engineer job openings in Wichita, KS as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,044 per year, or $61.6 per hour.

$63.75 - $85.50/hr

Full-time

Medical, Retirement, PTO

Re-posted yesterday


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

171st of 631 rated colleges and universities


Job description

Department

Booth IT: Application Development


About the Department

The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges.
Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment.
Chicago Booth is proud to claim:
-an unmatched faculty.
-degree and open enrollment programs offered on three continents.
-a global body of nearly 56,000 accomplished alumni.
-strong and growing corporate relationships that provide a wealth of lifelong career opportunities.
As part of the world-renowned University of Chicago, Chicago Booth shares the University's core values that shape the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http://www.chicagobooth.edu/.


Job Summary

The Senior Data Architect is responsible for defining, governing, and leading the organization's enterprise data strategy, architecture roadmap, and cloud data modernization initiatives. This role serves as the enterprise authority for data architecture, data management, analytics platforms, and AI-ready data ecosystems, ensuring that organizational data assets are secure, trusted, accessible, and strategically aligned with business objectives. The Senior Data Architect provides technical and strategic leadership in the design, implementation, and optimization of scalable, secure, and high-performing cloud-based data solutions that support operational reporting, business intelligence, advanced analytics, artificial intelligence, and emerging data-driven initiatives. This position serves as the enterprise subject matter expert for Microsoft Fabric and the Microsoft Azure data ecosystem, leading the transition from legacy and on-premises data environments to modern cloud-native architectures.
This position collaborates closely with executive leadership, business stakeholders, Enterprise Architecture, Information Security, Application Development, Data Engineering, Analytics, and AI teams to establish enterprise standards, governance frameworks, and long-term data strategies that maximize the value of organizational data assets. The ideal candidate combines strategic vision, enterprise architecture expertise, strong leadership capabilities, and deep technical knowledge to drive innovation, operational excellence, and business value through data.

Responsibilities

  • Develops, maintains, and executes the enterprise data architecture strategy and multi-year roadmap aligned with organizational goals, digital transformation initiatives, and business priorities.
  • Leads the design, implementation, and optimization of enterprise cloud data platforms utilizing Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Power BI, and related Azure technologies.
  • Architects scalable data warehouse, lakehouse, data mesh, and data integration solutions supporting enterprise reporting, analytics, and artificial intelligence initiatives.
  • Establishes and enforces enterprise standards, best practices, and governance policies for data architecture, data modeling, integration, metadata management, data lineage, security, and quality.
  • Leads enterprise data modernization and migration efforts from legacy and on-premises platforms to cloud-native architectures and services.
  • Designs and oversees enterprise ETL/ELT frameworks, data pipelines, orchestration processes, and DataOps practices to improve data delivery, reliability, and scalability.
  • Partners with executive leadership, business stakeholders, and technology teams to translate business requirements into scalable and sustainable enterprise data solutions.
  • Collaborates with Enterprise Architecture, Security Architecture, and Application Development teams to ensure alignment with organizational technology standards and strategic objectives.
  • Leads architecture reviews and provides governance oversight for enterprise data solutions, ensuring compliance with approved standards and architectural principles.
  • Provides technical leadership, mentorship, and architectural guidance to data engineers, developers, analysts, AI engineers, and project teams.
  • Evaluates emerging technologies and industry trends, recommending innovative solutions that enhance organizational data capabilities, AI readiness, performance, and cost efficiency.
  • Develops and promotes data-as-a-product principles to improve accessibility, usability, and business adoption of enterprise data assets.
  • Establishes cloud cost optimization and FinOps strategies to balance performance, scalability, and operational expenditures.
  • Ensures compliance with data governance, privacy, security, regulatory, and institutional requirements while fostering a culture of data stewardship and accountability across the organization.
  • Manages a team of developers, assign work, coach and mentor.
  • Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
  • Leads or coordinates teams or projects for activities relating to software support and/or development.
  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.


Certifications:

---

Preferred Qualifications

Education:

  • Master's degree.

Experience:

  • Minimum twelve years of progressively responsible experience in enterprise data architecture, data engineering, data warehousing, enterprise data management, analytics platforms, and cloud data solutions.

Certifications:

  • Microsoft Certified Fabric Data Engineer.

Technical Skills or Knowledge:

  • Proficient in designing, implementing, and leading enterprise cloud data platforms and modernization initiatives with Microsoft Azure environments.
  • Expert-level knowledge of Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Power BI, OneLake, and related Azure data services.
  • Accomplished in enterprise data modeling methodologies including conceptual, logical, physical, dimensional, semantic, and canonical data models.
  • Strong proficiency in SQL, Python, Spark, ETL/ELT development, data engineering, DataOps, and cloud-native data architecture practices.
  • Proficient with enterprise integration architectures utilizing APIs, event-driven architectures, streaming technologies, and cloud-native integration services.
  • Familiar with enterprise data quality frameworks, validation methodologies, testing strategies, reconciliation processes, and data observability practices.
  • Demonstrated experience leading enterprise-scale cloud migration, modernization, and digital transformation initiatives.
  • Deep understanding of data, metadata management, data lineage, data quality, security, privacy, and compliance frameworks.
  • Seasoned professional at implementing and supporting artificial intelligence, advanced analytics, and generative AI platforms through scalable data architecture design.
  • Proficient in Azure DevOps, GitHub, CI/CD pipelines, and modern software delivery practices.
  • Strong understanding of cloud cost management, FinOps principles, performance optimization, and operational excellence.

Preferred Competencies

  • Proven ability to influence executive stakeholders, communicate architectural strategies, and lead cross-functional initiatives across business and technology organizations.
  • Excellent leadership, communication, stakeholder management, problem-solving, and strategic planning skills with the ability to communicate effectively at both technical and executive levels.

Working Conditions

  • This position is currently expected to work a minimum three days per week in the office.

Application Documents

  • Resume/CV (required)
  • Cover Letter (required)


The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Information Technology


Role Impact

Individual Contributor


Scheduled Weekly Hours

37.5


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$155,000.00 - $175,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


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