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Remote Microsoft Azure Data Engineer Jobs in Missouri

$94K - $124K/yr

... remote environment. Accountabilities * Assess the current Azure and Microsoft Fabric data ... Requirements * 6+ years of experience in data engineering, business intelligence, cloud data ...

New

Data Architect - Azure and Big Data

Saint Louis, MO · On-site +1

$61.75 - $80.50/hr

Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling ... At least 5+ years of working with a complex Big Data environment using Microsoft tools * 5+ years ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... data pipelines, and automation on Microsoft Azure. You will own work end to end, from requirements ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... data pipelines, and automation on Microsoft Azure. You will own work end to end, from requirements ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... data pipelines, and automation on Microsoft Azure. You will own work end to end, from requirements ... Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... data pipelines, and automation on Microsoft Azure. You will own work end to end, from requirements ... Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ...

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... data pipelines, and automation on Microsoft Azure. You will own work end to end, from requirements ... Working environment: comfortable in a CLI-driven workflow (shell, remote access and debugging) on ...

You will work in a modern, remote-first environment alongside experienced engineers, contributing ... Strong hands-on expertise with Microsoft Azure, including the Azure Well-Architected Framework and ...

New

Software Engineer

Saint Louis, MO · On-site +1

$75K - $95K/yr

NET/C# and SQL skills and hands-on experience developing Microsoft Azure cloud solutions. In this ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Azure Architect

Saint Louis, MO · Remote

$61.75 - $80.50/hr

... Remote Apps etc. Experience and understanding of security requirements for cloud like IAM, Web ... Microsoft certified Azure certifications (preferred) Experience in Azure automation and DevOps ...

$88K - $106K/yr

Our partner is looking for a Data Engineer, Sr. based in Netherlands. Join a high-impact ... Fully remote work environment with flexibility to work from anywhere. * Competitive contract ...

New

Advanced Software Engineer

Saint Louis, MO · On-site +1

$85K - $115K/yr

NET/C# and SQL skills and hands-on experience developing Microsoft Azure cloud solutions. In this ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Sr. Data Engineer

Saint Louis, MO · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Cloud experience with Azure and/or AWS. * Comfort working independently across concurrent projects ...

Join a fast-paced, remote-first engineering team building scalable cloud-native platforms that ... Microsoft Azure. * Lead the architecture, design, and implementation of new product features and ...

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Remote Microsoft Azure Data Engineer information

What is the difference between Remote Microsoft Azure Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Azure Data EngineerRemote Data Analyst
Required CredentialsAzure certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, backend systemsData reporting, visualization, business insights
Employer & Industry UsageTech, finance, healthcare, any industry using cloud data solutionsMarketing, finance, retail, any industry analyzing data for insights

The Remote Microsoft Azure Data Engineer focuses on building and maintaining data pipelines using Azure cloud services, requiring technical skills in cloud platforms and data engineering. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and provides business insights, often using visualization tools. While both roles work with data, their focus, tools, and responsibilities differ significantly.

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 Remote Microsoft Azure Data Engineer jobs in Missouri? For Remote Microsoft Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Azure Data Engineer jobs in Missouri look for? The top searched job categories for Remote Microsoft Azure Data Engineer jobs in Missouri are:

Senior Azure/Fabric Data Engineer

Jobgether

Remote

$94K - $124K/yr

Contractor

Posted 2 days ago

New


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Azure/Fabric Data Engineer based in Netherlands.

Join a strategic data transformation initiative where you will help design and shape a modern Azure and Microsoft Fabric data platform supporting business-critical operations. In this senior role, you will combine hands-on data engineering expertise with solution architecture and stakeholder advisory, helping define scalable, cost-effective data solutions across finance, supply chain, manufacturing, and business intelligence. Working closely with both technical and business teams, you will assess existing environments, recommend architectural improvements, and contribute to implementation following the discovery phase. This position offers significant ownership, exposure to enterprise-scale cloud technologies, and the opportunity to influence long-term data strategy within a collaborative, fully remote environment.

Accountabilities
  • Assess the current Azure and Microsoft Fabric data environment, identifying opportunities to improve scalability, performance, governance, and cost efficiency.
  • Define target data architecture, implementation roadmaps, and technology recommendations that align with business and technical requirements.
  • Design and implement modern ETL/ELT solutions using medallion architecture principles, metadata-driven frameworks, and cloud-native data engineering best practices.
  • Build integrations across ERP, manufacturing, finance, and quality management systems while ensuring reliable and scalable data pipelines.
  • Develop Power BI semantic models, dimensional data models, and governance standards to enable high-quality reporting and analytics.
  • Collaborate with business stakeholders and technical teams throughout discovery, architecture planning, and implementation, providing clear technical guidance and solution recommendations.
  • Support the transition from discovery into full-scale platform implementation, contributing hands-on engineering expertise throughout delivery.
Requirements
  • 6+ years of experience in data engineering, business intelligence, cloud data platforms, or related fields.
  • Strong hands-on expertise with Azure Data Factory, Azure Data Lake Storage Gen2, and Microsoft Fabric, including Lakehouse and Warehouse capabilities.
  • Advanced SQL/T-SQL skills combined with experience using Python and/or PySpark for data engineering workloads.
  • Proven experience designing ETL/ELT pipelines, medallion architectures, dimensional models, and enterprise data integration solutions.
  • Strong Power BI expertise, including DAX, semantic models, tabular modeling, and data visualization best practices.
  • Experience using Git, Azure DevOps, and CI/CD pipelines within modern data engineering environments.
  • Exposure to solution architecture, discovery workshops, technical assessments, platform design, or technology selection.
  • Excellent English communication skills with the ability to engage effectively with both business and technical stakeholders.
  • Experience with Microsoft Fabric capacity optimization, metadata-driven ETL frameworks, multi-ERP integrations, Purview, Databricks, Synapse, or regulated manufacturing and pharmaceutical environments is considered an advantage.
Benefits
  • Fully remote contract opportunity for Europe-based professionals.
  • Opportunity to lead the architecture and development of a modern Microsoft Azure and Fabric data platform.
  • High level of ownership with direct influence on enterprise data strategy and technology decisions.
  • Potential to transition from an initial part-time discovery phase into a full-time implementation engagement.
  • Exposure to modern cloud technologies, enterprise data architecture, and large-scale digital transformation initiatives.
  • Collaborative international environment with close interaction between business stakeholders and technical teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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