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Azure Data Engineer Jobs in O Fallon, MO (NOW HIRING)

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 ...

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 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

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 ...

Senior Data Analyst Wealth Management PracticeData Engineering & Analytics DOMAIN Wealth Management TECHNICAL CORE Advanced SQL / STTM CLOUD ENV MS Azure (Preferred) EXPERIENCE 5+ Years Senior Level ...

Senior Data Analyst

Saint Louis, MO ยท On-site

$83K - $105K/yr

Developer Collaboration & Bridge: Conduct detailed walkthroughs of mapping documents with ... MS Azure Cloud Environment: Exposure to or experience working with cloud data platforms on ...

Data Strategy-Manager

Saint Louis, MO ยท 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 ...

Data Governance- Manager

Saint Louis, MO ยท 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 ...

Showing results 21-40

Azure Data Engineer information

See O Fallon, MO salary details

$41.6K

$121.3K

$166K

How much do azure data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for azure data engineer in O'Fallon, MO is $121,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $128,600.00 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 O'Fallon, MO?

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

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

The top searched job categories for Azure Data Engineer jobs in O'Fallon, MO are:

What cities near O'Fallon, MO are hiring for Azure Data Engineer jobs?

Cities near O'Fallon, MO with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in O'Fallon, MO as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,347 per year, or $58.3 per hour.

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO โ€ข On-site

$113K - $136K/yr

Contractor

Re-posted 11 days ago


Job description


Location: United States - Remote
Employment Type: Full-Time and Contract

Data Engineer
Description:
As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.
The impact you will have:
  • Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
  • Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation.
  • Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.
  • Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority.
  • Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation.
  • Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements
Minimum qualifications:
  • Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Experience:
    • 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP).
    • Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects
    • Develop scalable streaming and batch solutions using cloud-native components.
    • Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies.
    • Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows.
  • Technical Skills:
    • Expert-level proficiency in Spark Scala, Python, and PySpark.
    • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling.
    • Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce.
    • Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.
  • Databricks Specific Skills:
    • Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP).
    • Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration.
    • Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.
    • Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities.
  • Good to have Certifications:
    • Certification in Databricks Engineering (Professional)
    • Microsoft Certified: Azure Data Engineer Associate
    • GCP Certified: Professional Google Cloud Certified.
    • AWS Certified Solutions Architect Professional