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

... data engineering, and AI-enabled capabilities. You will work with leading technologies and help ... Microsoft Azure * 1+ years of experience with security operations center threat hunting and ...

Principal Product Manager

Wichita, KS

$228K - $325K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... other Azure and AI-native storage options. * Prioritize investments acrossperformance,scale,data ... Education * MBAor advanced degree inCS/Engineering(helpful, not a substitute for demonstrated ...

Senior Solutions Architect

Wichita, KS ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data & AI Enablement * Architect secure workloads on AWS/Azure (identity, networking, storage ... Mentor engineers and junior architects; raise the bar on documentation, testing, automation, and ...

Technical Account Manager

Wichita, KS ยท Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

Job Summary Technical Account Manager (Cloud-Focused) - Azure and/or AWS experience required ... Use advanced data insights and technical knowledge to monitor adoption and/or utilization and ...

Senior Analytics Specialist

Wichita, KS ยท Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... developers and account teams to deliver exceptional client value across JLL's commercial real ... Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred)

Database Associate

Wichita, KS ยท On-site

$57K - $71K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data as needed. * Collaborate with DBAs, developers, and application teams to support database ... Familiarity with cloud databases (GCP, AWS, Azure) is a plus. * Relevant certifications are a plus.

Enterprise Architect

Wichita, KS

$95K - $146K/yr

  • Medical

  • Life

  • Retirement

Solution Architects must know the DevOps and DevSecOps best practices for guidance in the addition ... Expertise across multiple architectural domains (Business, Data, Application, and Technology)

Web Developer

Wichita, KS

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong experience with REST APIs and JSON data. * Experience using git version control ... Web Services, MS Azure, Google Cloud. * Experience with SOX & PCI compliance standards.

Web Developer

Wichita, KS ยท On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong experience with REST APIs and JSON data. * Experience using git version control ... Web Services, MS Azure, Google Cloud. * Experience with SOX & PCI compliance standards.

Senior Machine Learning Engineer

Wichita, KS ยท On-site

$93K - $128K/yr

Generate data characteristic requirements for real-time data processing pipelines * Prepare ... A comprehensive understanding of systems programming (a strong proficiency in C would imply this)

Media Qualification Engineer

Wichita, KS

$129K - $192K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Our mission is to deliver timely, accurate testing and certification for NetApp storage products-enabling our customers to trust their data to our solutions. You'll partner with internal engineering ...

Media Qualification Engineer

Wichita, KS ยท On-site

$129K - $192K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Our mission is to deliver timely, accurate testing and certification for NetApp storage products-enabling our customers to trust their data to our solutions. You'll partner with internal engineering ...

Senior Machine Learning Engineer

Wichita, KS ยท On-site

$93K - $128K/yr

Generate data characteristic requirements for real-time data processing pipelines * Prepare ... A comprehensive understanding of systems programming (a strongproficiencyin C would imply this)

Engineer

Wellington, KS ยท On-site

  • Retirement

Must be able to work with and understand financial information and data, and basic arithmetic functions Education & Experience: * At least 2 years of experience in a hotel environment at the Engineer ...

Showing results 21-40

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 Aug 14, 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 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.

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 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.

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 management and analytics.

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 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $116,045 per year, or $55.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Wichita, KS โ€ข On-site

Other

Re-posted 23 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.