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

Data Engineer

Kansas City, KS

$110K - $132K/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

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Data Governance- Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Sr Databricks Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

What You'll Do The Senior Data Platform Engineer will design, develop, and support cloud-based data solutions within CHA's Microsoft Azure environment. This hands‑on engineering role will focus on ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Evaluate other emerging technologies and solutions to ensure SKC stays current with engineering ... Experience working with modern cloud-based data infrastructure (i.e., Azure, AWS or GCP)

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

We are seeking an individual with excellent attention to detail to join our team as a Data Engineer ... Experience working with modern cloud-based data infrastructure (i.e., Azure, AWS or GCP)

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Full Lifecycle Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

... Azure) • Experience with modern data warehouses • Familiarity with orchestration tools • Understanding of distributed systems and data architecture patterns • Ability to build both backend ...

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 II

Kansas City, MO

$111K - $134K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools. * Working knowledge of Lakehouse/warehouse architectures and ELT patterns. * Knowledge of DevOps ...

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

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 Sep 6, 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 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 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 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,767 per year, or $58.5 per hour.

Senior Data Engineer - Information Technology (Kansas City)

Burns & McDonnell

Kansas City, MO

$103K - $140K/yr

Full-time

Posted 12 days ago


Burns & McDonnell rating

8.4

Company rating: 8.4 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

6th of 80 rated construction


Job description

Position Summary

We are seeking an accomplished Senior Data Engineer with 8 years of hands-on experience to join our data team. This role combines deep expertise in data pipeline engineering ETL- SQL Server, Informatica, Active Batch, and SSAS - with strong semantic modeling capabilities, including Power BI and dimensional data modeling. The ideal candidate is equally comfortable supporting and enhancing production pipelines and supporting high-performance analytical models that drive business intelligence across the enterprise.

Key Responsibilities 

Pipeline Engineering & Production Support

  • Monitor, support, and enhance existing data pipelines built on SQL Server, Informatica, and Active Batch, ensuring high availability and data integrity.
  • Develop, maintain, and optimize ETL/ELT processes; troubleshoot performance bottlenecks and data quality issues with minimal downtime.
  • Manage and tune Active Batch job workflows for reliable, efficient automation.
  • Collaborate with cross-functional teams to resolve data incidents, communicate root cause, and implement preventive measures.
  • Document pipeline processes, data flows, and technical specifications to support operational continuity and knowledge transfer.

Data Modeling & Semantic Layer

  • Design, develop, and optimize SSAS tabular models and lead migration efforts to Power BI semantic models.
  • Build and maintain Power BI semantic models leveraging data from SQL Server; ensure high-performance query execution.
  • Write, optimize, and troubleshoot SQL, DAX, and Power Query (M) to support analytics and reporting needs.
  • Partner with data engineers to design tables and schemas for optimal analytical performance.
  • Document data models, business rules, and data mappings using catalog tooling.
  • Ensure smooth daily operations of deployed data models; address outages promptly.

Stakeholder Engagement & Mentorship

  • Collaborate with business and technical stakeholders to gather requirements and deliver data products aligned to business needs.
  • Train and mentor junior engineers and modelers on best practices for pipeline development, data modeling, and optimization.
  • Research and recommend tools, methods, and technologies to continuously improve data engineering and modeling practices. 
  • Bachelor Degree in Computer Science, Management Information Systems, Engineering or related field required
  • 8 years of combined experience in data engineering and data modeling roles.
  • Expert-level proficiency in T-SQL and SQL Server (including stored procedures, views, performance tuning) preferred.
  • Hands-on experience with Informatica (PowerCenter or IICS) for ETL pipeline development and support preferred.
  • Proven experience managing and troubleshooting ActiveBatch job scheduling and workflow automation  preferred.
  • Strong background in SSAS tabular model development and performance optimization  preferred.
  • Advanced knowledge of DAX and Power Query (M) for Power BI semantic modeling preferred.
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT patterns preferred.
  • Strong problem-solving skills with a disciplined approach to root cause analysis and incident resolution preferred. 

Strongly Preferred Qualifications:

  • Experience with Azure Data Factory or comparable cloud orchestration platforms.
  • Familiarity with Big Query as a data platform for modeling and pipeline development.
  • Experience with Azure cloud environments and underlying infrastructure concepts.
  • Knowledge of scripting languages such as Python or PowerShell for pipeline automation.
  • Familiarity with Oracle SQL, PL/SQL.
  • Experience with data catalog tools such as Alation or similar platforms.
  • Knowledge of business processes and terminology (e.g., Finance, HR, Project Costing).
  • QA/QC mindset with experience validating data accuracy across analytical layers. 


What Burns & McDonnell employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Burns & McDonnell

Sourced by ZipRecruiter

Burns & McDonnell assists clients of all sizes and industries by providing extensive physical services ranging from assessments, integrated security solutions, and large security architecture designs. Services we typically provide include security and safety system design, threat, risk, and vulnerability assessments, security surveys, security master planning, compliance to federal security programs, independent validation and verification of integrated security system operations, management of installation and maintenance, and staff augmentation to develop and implement facility management and protection processes.

Industry

Civil engineering construction

Company size

10,000+ Employees

Headquarters location

Kansas City, MO, US

Year founded

1898

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