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Contract Microsoft Azure Data Engineer Jobs in Missouri

$88K - $106K/yr

Our partner is looking for a Data Engineer - Senior based in Netherlands. This is a remote ... The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data ...

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$52.25 - $64.75/hr

W2 or C2C (Vendors Not Permitted) Overview We are seeking an Azure Cloud Developer to design, develop, and maintain scalable cloud-based data solutions on Microsoft Azure. The ideal candidate will ...

W2 or C2C (Vendors Not Permitted)Overview We are seeking an Azure Cloud Developer to design, develop, and maintain scalable cloud-based data solutions on Microsoft Azure. The ideal candidate will ...

New

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$53.50 - $66.25/hr

W2 or C2C (Vendors Not Permitted) Overview We are seeking an Azure Cloud Developer to design, develop, and maintain scalable cloud-based data solutions on Microsoft Azure. The ideal candidate will ...

Data Engg with DQ Exp

California, MO · On-site

$140 - $160/hr

Azure SQL Database * Azure Purview / Microsoft Purview * Azure Event Hub / Stream Analytics * Azure Functions * Azure DevOps Data Engineering * Expertise in SQL and Python/PySpark. * Strong ...

New

Data Engg with DQ Exp

California, MO · On-site

$140 - $160/hr

... Azure Architect with strong expertise in Data Engineering and Data Quality (DQ) frameworks to design, implement, and govern scalable enterprise data platforms on Microsoft Azure. The ideal candidate ...

Posted today

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data ... Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks ...

Data Bricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a ... Exposure to Snowflake, Power BI, or Microsoft Fabric. * Healthcare, Life Sciences, or Pharma domain ...

New

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

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

Data Bricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a ... Exposure to Snowflake, Power BI, or Microsoft Fabric. * Healthcare, Life Sciences, or Pharma domain ...

New

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

Databricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a ... Exposure to Snowflake, Power BI, or Microsoft Fabric. * Healthcare, Life Sciences, or Pharma domain ...

New

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

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Contract Microsoft Azure Data Engineer information

What is a Contract Microsoft Azure Data Engineer?

Contract Microsoft Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Microsoft Azure cloud services. They are responsible for developing data pipelines, integrating data from multiple sources, and ensuring data is stored securely and efficiently in the cloud. These engineers typically work with technologies like Azure Data Factory, Azure SQL Database, and Azure Databricks to support analytics and business intelligence needs. Their contract status means they may work for specific projects or short-term engagements rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a Contract Microsoft Azure Data Engineer, and why are they important?

To thrive as a Contract Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and proficiency with Azure data services, typically supported by a degree in computer science or a related field. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant Azure certifications (like Azure Data Engineer Associate) are highly valued. Strong problem-solving, communication, and adaptability are essential soft skills for collaborating with stakeholders and addressing evolving project requirements. These skills ensure efficient data solutions, seamless cloud integration, and successful project delivery in dynamic enterprise environments.

What are some common challenges faced by Contract Microsoft Azure Data Engineers when joining new projects?

Contract Microsoft Azure Data Engineers often encounter challenges such as quickly understanding existing data architectures, adapting to varying data governance standards, and integrating with diverse client teams. Since contract roles are typically project-based, engineers must rapidly familiarize themselves with the organization’s Azure environment, security protocols, and workflow tools. Strong communication and a proactive approach to documentation help streamline collaboration with permanent team members, ensuring smooth project delivery despite tight timelines.

What is the difference between Contract Microsoft Azure Data Engineer vs Contract Data Engineer?

AspectContract Microsoft Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentCloud-based, Azure platform-focusedOn-premises or cloud, various platforms
Industry UsageOrganizations using Microsoft AzureOrganizations using diverse data platforms
Job FocusDesigning, building, and maintaining Azure data solutionsDeveloping data pipelines and managing data workflows

The Contract Microsoft Azure Data Engineer primarily focuses on designing and implementing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, a Contract Data Engineer may work across various environments, including on-premises or different cloud providers, with a broader scope of tools and platforms. The Azure Data Engineer role is ideal for those specializing in Microsoft Azure, while the Data Engineer role offers more flexibility across data environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Missouri?

The most popular types of Microsoft Azure Data Engineer jobs in Missouri are:

What are popular job titles related to Contract Microsoft Azure Data Engineer jobs in Missouri?

For Contract Microsoft Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Contract Microsoft Azure Data Engineer jobs in Missouri look for?

The top searched job categories for Contract Microsoft Azure Data Engineer jobs in Missouri are:

Infographic showing various Contract Microsoft Azure Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 100% Contract. Highlights an 46% In-person, and 54% Remote job distribution.

Data Engineer - Microsoft D365 F&O

duvari group

Saint Louis, MO • On-site

Full-time

Re-posted 2 hours ago


Job description

We're partnering with an established manufacturing organization seeking a Data Engineer to support enterprise data integration and analytics initiatives. This role focuses on building and optimizing data pipelines that move information from multiple ERP systems into Microsoft Dynamics 365 Finance & Operations (D365 F&O), enabling reporting, analytics, and business intelligence.

This is an excellent opportunity for someone who enjoys data engineering, cloud technologies, and solving complex integration challenges in a manufacturing environment.

What You'll Do

  • Design, develop, and maintain enterprise data pipelines into D365 Finance & Operations.

  • Build ETL/ELT processes using Microsoft Azure data services.

  • Extract, transform, and prepare data from multiple ERP platforms for reporting and analytics.

  • Improve data quality, automation, and pipeline performance.

  • Partner with business and technical teams to understand data requirements and deliver scalable solutions.

  • Support data warehousing, reporting, AI, and advanced analytics initiatives.

  • Participate in Agile development, testing, documentation, and continuous improvement efforts.

Qualifications (Required)

  • 2–5+ years of experience in Data Engineering or a related field.

  • Experience working with Microsoft Dynamics 365 Finance & Operations (D365 F&O) or other enterprise ERP platforms.

  • Strong Python and SQL development skills.

  • Hands-on experience with Microsoft Azure data technologies, including:

    • Azure Synapse Analytics

    • Microsoft Fabric (or Synapse migration experience)

    • Azure Data Factory

    • Azure SQL

    • Azure Data Lake

    • Databricks

  • Experience building ETL/ELT pipelines and integrating data from multiple systems.

  • Strong analytical, troubleshooting, and problem-solving skills.

Qualifications (Preferred)

  • Manufacturing or Supply Chain industry experience.

  • Experience migrating or integrating data from ERP platforms such as SAP, Infor, or similar enterprise systems.

  • Knowledge of D365 Customer Engagement (CE).

  • Experience with Power BI, Azure DevOps, Entra ID, Key Vault, and modern Microsoft data platforms.

  • Exposure to AI, machine learning, or advanced analytics initiatives is a plus.

What We're Looking For

  • Someone who enjoys building scalable data solutions.

  • A collaborative team player who communicates well with both technical and business stakeholders.

  • An engineer who takes ownership, continuously improves processes, and enjoys solving complex data challenges.