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Remote Work From Home Azure Data Engineer Jobs in Missouri

Jobgether

$94K - $124K/yr

... remote environment. Accountabilities * Assess the current Azure and Microsoft Fabric data ... Support the transition from discovery into full-scale platform implementation, contributing hands ...

New

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... from various sources, and developing tools for data processing and analysis. You will play a ...

Jobgether

$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

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 ...

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Remote Work From Home Azure Data Engineer information

What are the key skills and qualifications needed to thrive as a remote work from home Azure data engineer?

To thrive as a Remote Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, data modeling, and experience with Azure cloud services, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills, especially for remote collaboration. These skills and qualities ensure the delivery of reliable, scalable data solutions while enabling seamless teamwork and project success in a distributed environment.

What is the difference between Remote Work From Home Azure Data Engineer vs Remote Work From Home Data Analyst?

AspectAzure Data Engineer
Required CredentialsAzure certifications, SQL, Python, data modeling
Work EnvironmentRemote, cloud-based data infrastructure
Industry UsageTech, finance, healthcare, any data-driven sector
Common Search IntentComparing cloud data roles and responsibilities

The Remote Work From Home Azure Data Engineer focuses on designing and managing cloud-based data solutions using Azure services, requiring specific cloud certifications. In contrast, a Remote Work From Home Data Analyst primarily interprets data, creates reports, and uses tools like Excel and SQL. Both roles often work remotely and are in data-centric industries, but their core skills and responsibilities differ significantly.

What is a remote work from home Azure data engineer?

Remote Work From Home Azure Data Engineers are IT professionals who specialize in designing, developing, and managing data solutions on Microsoft Azure, while working remotely from their home or any location outside of a traditional office. Their responsibilities often include building data pipelines, ensuring data security, and optimizing data storage and retrieval using Azure services. These engineers collaborate with teams virtually, leveraging cloud-based tools to maintain and process large datasets. Working remotely, they must have strong communication skills and be self-motivated to deliver efficient cloud data solutions.

What are some common challenges faced by remote work from home Azure data engineers and how can they be addressed?

Remote Azure Data Engineers often encounter challenges such as coordinating with geographically dispersed team members, ensuring secure data access, and managing complex cloud resources without in-person support. To address these, effective communication through regular virtual meetings and clear documentation is essential. Utilizing collaboration tools like Microsoft Teams and Azure DevOps can streamline project workflows, while following best practices for cloud security and automation helps maintain data integrity and system reliability in a remote setting.
What are popular job titles related to Remote Work From Home Azure Data Engineer jobs in Missouri? For Remote Work From Home Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Work From Home Azure Data Engineer jobs in Missouri look for? The top searched job categories for Remote Work From Home Azure Data Engineer jobs in Missouri are:
Remote Work From Home Azure Data Engineer jobs near you

Senior Azure/Fabric Data Engineer

Jobgether

Remote

$94K - $124K/yr

Contractor

Posted 3 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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