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

Senior Data Engineer

Overland Park, KS · Hybrid

$104K - $142K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure

Data Engineer

Kansas City, MO · On-site

$100K - $125K/yr

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Sr. DevOps Engineer

Overland Park, KS · On-site

$50 - $68.25/hr

This role will partner with Data Engineering, Data Architecture, Security, and Platform Engineering teams to build scalable, secure, and automated deployment pipelines supporting Azure services and ...

New

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

Description of the Role As an Associate Data Engineer at Vytalize Health, you will support the data engineering team by handling critical operational tasks, resolving support tickets, and conducting ...

Data Engineer

Kansas City, KS

$107K - $129K/yr

Data Engineer Location: 5000 Kansas Avenue Kansas City, KS 66106 Department: IT Make us your BEST ... Experience working with AWS or Azure workflow orchestration tools. * Data Systems: Experience ...

Data Engineer

Leawood, KS

$111K - $133K/yr

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

Data Engineer

Overland Park, KS

$111K - $133K/yr

Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and managing our company's data systems. This essential position supports our growth and innovation by ...

In this position you will work closely with other Data Engineers on your team, and members of the ... Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and managing our company's data systems. This essential position supports our growth ...

Showing results 21-40

Azure Data Engineer information

See Lenexa, KS salary details

$41.8K

$121.8K

$166.6K

How much do azure data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for azure data engineer in Lenexa, KS is $121,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 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 Lenexa, KS?

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

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

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

Infographic showing various Azure Data Engineer job openings in Lenexa, KS as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $121,767 per year, or $58.5 per hour.

Full-time

Re-posted 3 days ago


CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
CommunityAmerica Credit Union is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers their data and analytics capabilities. This role involves managing a small team responsible for the Data and BI Platforms, ensuring reliable operations of the SQL Server environment, and driving the establishment of a new cloud data platform on Databricks and Azure.
Responsibilities:
• Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
• Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
• Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
• Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
• Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
• Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
• Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
• Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
• Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
• Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
• Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master’s degree preferred.
• 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
• 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
• Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
• Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
• Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
• Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
• Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
• Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
• Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
• Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
• Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
• Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.
Preferred:
• Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
• Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
• Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
• Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
Company:
CommunityAmerica Credit Union provides financial services and products like mobile banking, insurance and loans to individuals & businesses. Founded in 1940, the company is headquartered in Lenexa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What CommunityAmerica Credit Union employees say

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