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Remote Azure Data Engineer Jobs in Missouri (NOW HIRING)

$133K - $158K/yr

This is an exciting opportunity for a skilled software engineer with expertise in data engineering ... Fully remote work environment with flexible working arrangements * Opportunity to work on ...

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Experience with cloud data infrastructure (AWS, GCP, or Azure) and modern data platform tools (e.g ...

Principal AI Engineer

Springfield, MO · Remote

$70 - $100/hr

Remote (CST) Employment Type: Contract to Perm Rate: $70-$100 Per Hour W2 Role Overview Join our ... data modeling practices. Experience with cloud platforms (Azure or AWS) and tools such as DBT ...

DBX/PowerBI Developer

MO · On-site +1

$72K - $104K/yr

Work with cloud data platforms (primarily Microsoft Azure) including Azure Data Lake Storage and ... Remote Opportunity within the United States * Video cameras must be used during all interviews, as ...

DBX/PowerBI Developer

MO · On-site +1

$72K - $104K/yr

Work with cloud data platforms (primarily Microsoft Azure) including Azure Data Lake Storage and ... Remote Opportunity within the United States * Video cameras must be used during all interviews, as ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

$88K - $106K/yr

... remote mode. This is an ideal opportunity for professionals passionate about Generative AI, PySpark, and scalable data engineering who want to make a measurable impact on complex enterprise projects.

* This role is 100% remote but candidates in the Greater STL/IL area are preferred due to customer ... Experience with AWS, Azure, or GCP * Experience with Git and collaboration tools, including Jenkins ...

New

$49.25 - $63.25/hr

Collaborate with engineering, analytics, and business teams to improve data accessibility and ... Hands-on experience with platforms such as AWS, Azure, GCP, Snowflake, or Databricks. * Strong ...

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Showing results 1-20

Remote Azure Data Engineer information

See Missouri salary details

$41.7K

$121.7K

$166.5K

How much do remote azure data engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote 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 are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Azure Data Engineer jobs in Missouri? The most popular types of Azure Data Engineer jobs in Missouri are:
What are popular job titles related to Remote Azure Data Engineer jobs in Missouri? For Remote Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in Missouri look for? The top searched job categories for Remote Azure Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Azure Data Engineer jobs? Cities in Missouri with the most Remote Azure Data Engineer job openings:
Infographic showing various Remote Azure Data Engineer job openings in Missouri as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.

Information Technology - Software Engineer

Jobgether

Remote

$133K - $158K/yr

Full-time

Posted 14 days ago


Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Information Technology - Software Engineer in Netherlands.

This is an exciting opportunity for a skilled software engineer with expertise in data engineering, cloud infrastructure, and DevSecOps practices to join a highly technical and fast-paced environment. In this role, you will contribute to the development and optimization of scalable data platforms and distributed query systems supporting enterprise-grade operations. You will work with modern cloud-native technologies, automation frameworks, and infrastructure-as-code tools to improve performance, reliability, and security across complex systems. The position offers strong exposure to Kubernetes environments, data governance initiatives, and advanced Linux administration tasks. Collaborating with cross-functional engineering teams, you will help design and maintain efficient, secure, and high-performing data architectures. This role is ideal for professionals who enjoy solving technical challenges and building scalable infrastructure solutions within modern cloud ecosystems.

Accountabilities:

This role focuses on building, maintaining, and optimizing secure data engineering and cloud infrastructure solutions in distributed environments.

  • Design, implement, and maintain scalable data engineering and DevSecOps solutions
  • Support and optimize distributed query engines and modern data architectures
  • Develop and maintain infrastructure automation and deployment workflows using Infrastructure-as-Code methodologies
  • Manage and enhance Kubernetes-based containerized environments and cloud-native systems
  • Configure, troubleshoot, and optimize platforms built on technologies such as Starburst Enterprise, Trino, or Presto
  • Develop advanced Linux scripting solutions and support system administration activities within enterprise environments
  • Implement and maintain data governance, access controls, and security best practices at scale
  • Collaborate with engineering and operations teams to improve system reliability, scalability, and performance
  • Monitor, troubleshoot, and resolve infrastructure and application performance issues
  • Contribute to cloud platform management and automation initiatives across environments such as AWS or Azure
  • Support continuous improvement of deployment processes, infrastructure security, and operational efficiency
Requirements:

The ideal candidate combines strong cloud engineering expertise with hands-on experience in distributed data systems, automation, and infrastructure management.

  • 3+ years of experience in Data Engineering and/or DevSecOps roles
  • Strong hands-on experience with Starburst Enterprise, Trino, or Presto
  • Strong experience with advanced Linux scripting and system administration
  • Experience working with Red Hat Enterprise Linux and automation tools such as Ansible
  • Experience with data table formats such as Iceberg, Hive, or similar technologies
  • Solid understanding of distributed query engines and large-scale data architectures
  • Hands-on experience with cloud platforms including Amazon Web Services or Microsoft Azure
  • Practical experience with Kubernetes, Docker, and Infrastructure-as-Code tools such as Terraform
  • Proficiency in at least one programming language such as Python
  • Experience implementing enterprise-level security, governance, and access control practices
  • Strong troubleshooting, debugging, and performance tuning skills
  • Strong analytical mindset and ability to work effectively in collaborative technical environments
  • Excellent communication and problem-solving abilities
Benefits:
  • Fully remote work environment with flexible working arrangements
  • Opportunity to work on enterprise-scale cloud and data engineering projects
  • Exposure to cutting-edge cloud-native, Kubernetes, and distributed data technologies
  • Collaborative environment with highly skilled engineering teams
  • Opportunities for technical growth and continuous learning
  • Participation in modern DevSecOps and infrastructure automation initiatives
  • Dynamic and innovation-driven work culture
  • Long-term career development opportunities within advanced technology environments
  • Flexible and supportive remote-first workplace
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. 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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