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Azure Data Engineer Jobs in Chesterfield, MO (NOW HIRING)

Azure AI Data Architect

Saint Louis, MO ยท On-site

$59.50 - $77.50/hr

Our team of strategists, designers, technologists, and engineers partners with the world's most ... We are seeking an experienced Azure AI Data Architect to lead the design and implementation of ...

Sr. Data Engineer

Saint Ann, MO ยท On-site

$106K - $135K/yr

Purpose The IT Engineer Senior Data is responsible for designing and developing solutions and ... Azure Data Factory, and SQL Server Integration Services recommended) * Assist in optimizing and ...

Data Architect - Azure and Big Data

Saint Louis, MO ยท On-site +1

$61.75 - $80.50/hr

Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling, visualization, AI, and analytics * Design and Build Azure Data services including ADF, ADL, AMM ...

Data Architect - Azure and Big Data

Saint Louis, MO ยท On-site

$61.75 - $80.50/hr

Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling, visualization, AI, and analytics * Design and Build Azure Data services including ADF, ADL, AMM ...

Lead data engineer

Saint Louis, MO ยท On-site

$99K - $131K/yr

Strong experience with Spark, Python, Azure Data Factory, Alteryx/NiFi for ETL, Microsoft Graph ... engineer of the project team. Responsibilities: * Assists senior resources in the assessment ...

Azure Cloud Engineer

Saint Louis, MO ยท On-site

$90 - $120/hr

Secret Azure Cloud engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at ...

Data Engineer - Senior Manager

Saint Louis, MO ยท On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Azure Platform Engineer

Saint Louis, MO ยท On-site

$51.25 - $70.25/hr

Azure Platform Engineer (Azure DevOps + Databricks Admin) - onsite in St. Louis, MO (4 days onsite ... Databricks, ADF and/or Airflow, Azure Data Lake RBAC/IAM in Azure + Active Directory (AD) group ...

Azure Platform Engineer

Saint Louis, MO ยท On-site

$51.25 - $70.25/hr

Azure Platform Engineer (Azure DevOps + Databricks Admin) - onsite in St. Louis, MO (4 days onsite ... Databricks, ADF and/or Airflow, Azure Data Lake RBAC/IAM in Azure + Active Directory (AD) group ...

Senior Principal, Data Engineering

O Fallon, MO ยท On-site

$117K - $161K/yr

Mastercard Services Technology is seeking a Senior Principal Data Engineer to help drive our ... Hands-on experience with Azure services including Data Factory, Synapse, Fabric, Azure Data Lake ...

BioTech Data Engineer

Saint Louis, MO ยท On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

Data Engineer II

Saint Louis, MO

$111K - $133K/yr

Summary Spire is seeking to fill a Data Engineer II position. This role is a primary contributor ... Preferably 7+ years of Oracle ODI ETL/ELT, Azure Data Factory Pipeline (or similar) experience.

Data Engineer II

Saint Louis, MO ยท On-site

$111K - $133K/yr

Summary Spire is seeking to fill a Data Engineer II position. This role is a primary contributor ... Preferably 7+ years of Oracle ODI ETL/ELT, Azure Data Factory Pipeline (or similar) experience.

Data Analyst

Saint Louis, MO ยท On-site

$90 - $130/hr

Senior Data AnalystWealth Management Practice | Data Engineering & AnalyticsDOMAINWealth ManagementTECHNICAL COREAdvanced SQL / STTMCLOUD ENVMS Azure (Preferred)EXPERIENCE5+ Years Senior LevelKey ...

New

Data Engineer II

Saint Louis, MO ยท On-site

$111K - $133K/yr

Summary Spire is seeking to fill a Data Engineer II position. This role is a primary contributor ... Preferably 7+ years of Oracle ODI ETL/ELT, Azure Data Factory Pipeline (or similar) experience.

Azure Cloud Engineer

Saint Louis, MO ยท On-site

$54 - $72.25/hr

Secret Azure Cloud engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at ...

Azure Cloud Engineer

Saint Louis, MO ยท On-site

$54 - $72.25/hr

Secret Azure Cloud engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at ...

Showing results 21-40

Azure Data Engineer information

See Chesterfield, MO salary details

$44K

$128.4K

$175.7K

How much do azure data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for azure data engineer in Chesterfield, MO is $128,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 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 Chesterfield, MO?

For Azure Data Engineer jobs in Chesterfield, MO, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Chesterfield, MO look for?

The top searched job categories for Azure Data Engineer jobs in Chesterfield, MO are:

What cities near Chesterfield, MO are hiring for Azure Data Engineer jobs?

Cities near Chesterfield, MO with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Chesterfield, MO as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,386 per year, or $61.7 per hour.

Azure AI Data Architect

Perficient, Inc.

Saint Louis, MO โ€ข On-site

$59.50 - $77.50/hr

Full-time

Posted 15 days ago


Job description

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world's most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what's possible - while building a career filled with growth, balance, and purpose.

We are seeking an experienced Azure AI Data Architect to lead the design and implementation of enterprise-scale data and AI solutions on Microsoft Azure. The ideal candidate will have deep expertise in cloud data architecture, modern data platforms, analytics, machine learning, and generative AI technologies. This role will partner with business stakeholders, engineering teams, and leadership to develop scalable, secure, and cost-effective data and AI ecosystems that enable advanced analytics and intelligent business solutions.

Job Overview

The Solutions Architect is expected to be knowledgeable in two or more technologies within the Data & Analytics domain. The Solutions Architect may or may not have a programming background, but will have expert infrastructure architecture, client presales / presentation, team management and thought leadership skills.
You will provide best-fit architectural solutions for one or more projects; you will assist in defining scope and sizing of work; and anchor Proof of Concept developments. You will provide solution architecture for business problems, perform platform integration with third party services, and design and develop complex features for clients' business needs.ย 

You will collaborate with some of the best talent in the industry to create and implement innovative high quality solutions, participate in Sales and various pursuits focused on our clients' business needs. You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, design, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains.
ย 

About Us

The Perficient Data & Analytics Solutions organization supports a wide variety of clients, technologies, and applications. Our Team members drive innovation in the arena of data and analytics solutions. We work on innovative digital transformation deployment for various clients across the globe. We had explosive growth in the last few years to meet the demands of a massive transition to digital with an AI First approach. Our practice groups include Artificial Intelligence, Analytics, Content Management,ย Data Governance, Data Management,ย Data Strategy and Search.

Perficient is always looking for the best and brightest talent and we need you! We're a quickly growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • 10+ years of experience in Data Engineering, Data Architecture, Analytics, or Cloud Solutions Architecture.
  • 5+ years of hands-on experience designing and implementing solutions on Microsoft Azure.
  • Proven experience architecting enterprise-scale data platforms including Data Lakes, Data Warehouses, and Lakehouse architectures.
  • Strong expertise in Azure Data Services including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL, and Azure Data Lake Storage Gen2.
  • Experience designing and implementing AI/ML and Generative AI solutions using Azure AI Services, Azure Machine Learning, Azure OpenAI, and Azure AI Foundry.
  • Strong hands-on programming skills in Python, SQL, Spark, and PySpark.
  • Experience implementing Retrieval Augmented Generation (RAG), vector databases, prompt engineering, and LLM-based applications.
  • Deep understanding of data modeling, ETL/ELT frameworks, data integration patterns, and real-time data processing.
  • Experience with cloud security, governance, privacy, and compliance frameworks, including Microsoft Purview and Azure security services.
  • Strong knowledge of DevOps practices, CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, or ARM Templates), and MLOps.
  • Experience leading architecture reviews, technical design discussions, and mentoring engineering teams.
  • Excellent communication and stakeholder management skills with the ability to engage executives, business leaders, and technical teams.

Preferred Qualifications

  • Experience with Microsoft Fabric and enterprise analytics modernization initiatives.
  • Experience building production-grade GenAI applications and AI copilots.
  • Knowledge of Responsible AI, AI Governance, and AI Risk Management practices.
  • Experience with Azure Kubernetes Service (AKS), containerization, and microservices architecture.
  • Industry experience in Financial Services, Healthcare, Energy, Manufacturing, or Retail.
  • Consulting or client-facing architecture experience preferred.

Preferred Certifications

  • Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Databricks Certified Data Engineer Professional (preferred)

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Applications will be accepted until the position is filled or the posting is removed.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $81,978 to $178,090. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview.ย 

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Data Architecture & Strategy

  • Design and implement enterprise-scale data platforms leveraging Azure cloud services.
  • Define data architecture standards, governance frameworks, and best practices.
  • Develop scalable data lake, lakehouse, and data warehouse architectures.
  • Design robust data integration, ingestion, transformation, and orchestration frameworks.

AI & Advanced Analytics

  • Architect AI and machine learning solutions using Azure AI services and Azure Machine Learning.
  • Design and implement Generative AI solutions leveraging Azure OpenAI Service and Azure AI Foundry.
  • Establish MLOps and AI governance frameworks for model deployment, monitoring, and lifecycle management.
  • Collaborate with data scientists and AI engineers to operationalize predictive and generative AI solutions.

Cloud Platform Leadership

  • Provide architectural leadership for Azure-based modernization and cloud migration initiatives.
  • Evaluate emerging Azure Data and AI technologies and recommend adoption strategies.
  • Ensure high availability, scalability, security, and performance of enterprise data platforms.
  • Drive cloud cost optimization and operational excellence initiatives.

Stakeholder Engagement

  • Translate business requirements into technical architecture solutions.
  • Present architectural recommendations and roadmaps to executive leadership.
  • Mentor engineering teams and establish architecture best practices.
  • Lead architecture reviews and participate in strategic planning discussions.