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Work From Home Azure Data Engineer Jobs in Missouri

Jobgether

$94K - $124K/yr

Support the transition from discovery into full-scale platform implementation, contributing hands ... Experience using Git, Azure DevOps, and CI/CD pipelines within modern data engineering environments.

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

... from various sources, and developing tools for data processing and analysis. You will play a ... work. Architect Complex Solutions: Design, develop, deploy, and document complex customer ...

Perficient

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 ... tools from on-premise and cloud infrastructure to Azure * Ability to produce high-quality work ...

The Jernigan Agency

WORK FROM HOME

Saint Louis, MO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Independence, MO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Semler Agency

Work From Home Sales

Kansas City, MO · On-site +1

This role is designed for individuals looking to learn a new skill and work from home with support. Responsibilities: * Connect with individuals requesting information * Provide guidance on coverage ...

The Semler Agency

Work From Home Sales

Springfield, MO · On-site +1

This role is designed for individuals looking to learn a new skill and work from home with support. Responsibilities: * Connect with individuals requesting information * Provide guidance on coverage ...

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Work From Home Azure Data Engineer information

See Missouri salary details

$41.7K

$121.7K

$166.5K

How much do work from home azure data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for work from home azure data engineer in Missouri is $121,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

What is a work from home Azure Data Engineer?

A Work From Home Azure Data Engineer is a remote role where professionals design, build, and manage data solutions using Microsoft Azure services. They develop data pipelines, optimize storage solutions, and ensure efficient data processing for business insights. This role requires expertise in Azure data services like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Strong knowledge of ETL processes, data modeling, and cloud security is essential. It allows professionals to collaborate with teams virtually while managing cloud-based data workflows.

What are the key skills and qualifications needed to thrive as a work from home Azure Data Engineer?

To thrive as a Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, cloud computing (especially Microsoft Azure), and a relevant degree in computer science or a related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving, communication, and time management skills are crucial for remote collaboration and delivering effective solutions. Together, these skills enable you to build robust data pipelines and analytics solutions while efficiently working in a distributed team environment.

What does a typical day look like for a work from home Azure Data Engineer?

A typical day for a Work From Home Azure Data Engineer involves designing, developing, and maintaining data pipelines using Azure services to ensure data is clean, accessible, and ready for analysis. You may attend virtual meetings with data scientists, analysts, and business stakeholders to discuss requirements and progress, and collaborate via team chat platforms. Daily tasks often include writing and optimizing SQL queries, troubleshooting pipeline issues, and working on new data integration projects. The remote setting requires frequent communication and clear documentation, but also offers flexibility in managing your own schedule and workspace.

What are popular job titles related to Work From Home Azure Data Engineer jobs in Missouri? For Work From Home Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Work From Home Azure Data Engineer jobs in Missouri look for? The top searched job categories for Work From Home Azure Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Work From Home Azure Data Engineer jobs? Cities in Missouri with the most Work From Home Azure Data Engineer job openings:
Work From Home Azure Data Engineer jobs near you
Infographic showing various Work From Home Azure Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.

Senior Azure/Fabric Data Engineer

Jobgether

Remote

$94K - $124K/yr

Contractor

Posted 5 days ago

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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