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Remote Azure Data Engineer Jobs in Missouri (NOW HIRING)

Jobgether

You will shape how blockchain data is ingested, modeled, processed, stored, and delivered to users ... The environment is remote-first, collaborative, async-friendly, and designed for engineers who ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational ...

BAI

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 ...

Epiq

AI Software Engineer

Kansas City, MO · Remote

... Azure DevOps. * Solid understanding of software engineering principles, data structures, and ... LI-Remote The Compensation range for this role is 120,000 to 160,000 USD annually and may be ...

EquipmentShare

Data Analytics Engineer

Columbia, MO · Remote

$109K - $130K/yr

We're hiring a Data Analytics Engineer to support our Corporate HQ Columbia, MO and we're looking ... This position is fully remote. Primary Responsibilities * Develop and manage data pipelines using ...

Academy Bank

Sr Systems Engineer

Kansas City, MO · On-site +1

$115K/yr

Summary The Sr Systems Engineer is responsible for designing, implementing, and managing cloud ... Implement and maintain best practices for Azure solutions, including identity management and data ...

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All JobsAzure Data Engineer JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in Missouri

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 Sep 13, 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 is a remote Azure Data Engineer?

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 as a remote Azure Data Engineer?

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 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 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:

Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.

Staff Software Engineer - Data

Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Medical, Dental, Vision, PTO

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 Staff Software Engineer - Data based in Netherlands.

This is a high-impact engineering role focused on the foundations of a large-scale, multi-chain data platform.
You will shape how blockchain data is ingested, modeled, processed, stored, and delivered to users and developers.
The role combines deep computer science, distributed systems, data engineering, architecture, and practical product thinking.
You will take ambiguous requirements and turn them into clear technical designs, delivery plans, and production-ready systems.
Working across Go, Kotlin, Rust, and Python, you will solve challenging problems where correctness, scale, and performance matter.
You will influence architectural direction, raise engineering standards, and help other engineers grow within a highly distributed team.
The environment is remote-first, collaborative, async-friendly, and designed for engineers who enjoy ownership and solving complex problems from first principles.

Accountabilities
  • Translate product requirements into robust technical solutions by modeling domains, defining interfaces and workflows, identifying constraints and invariants, and making thoughtful architectural trade-offs.
  • Break complex initiatives into well-defined pieces of work that can be owned by multiple engineers, sequencing delivery so useful functionality reaches production early.
  • Drive high-impact architectural decisions across the data platform and take end-to-end ownership of critical components from initial design through production operation.
  • Design and build systems capable of handling real-world scale, including large-scale data ingestion, distributed processing, and data lake storage while maintaining strong standards for correctness and performance.
  • Work across the engineering stack, primarily using Go, Kotlin, Rust, and Python, selecting technologies based on the problem rather than relying on familiar tools.
  • Apply strong computer science fundamentals to distributed data systems, explicitly considering contracts, state transitions, invariants, failure modes, fault models, and scaling limitations.
  • Raise engineering standards through strong design reviews, effective testing practices, thoughtful decomposition of technical work, and clear engineering processes.
  • Collaborate closely with product teams, customers, and engineers to clarify ambiguous requirements, define appropriate scope, and confidently guide technical decisions.
  • Mentor engineers through hands-on leadership and example, helping strengthen technical judgment, system design, and execution practices across a fully distributed team.
  • Use AI-assisted engineering tools thoughtfully to improve productivity while maintaining high standards for code quality, reasoning, correctness, and maintainability.
  • Contribute to continuous improvement of the data foundation, identifying opportunities to improve scalability, reliability, developer experience, and the quality of the platform's underlying architecture.
Requirements
  • Strong software engineering background with solid computer science fundamentals and the ability to adapt quickly to unfamiliar technologies, systems, and problem spaces.
  • Demonstrated experience designing and shipping distributed data systems, with a practical understanding of their architecture, contracts, state management, invariants, failure modes, fault tolerance, and scaling characteristics.
  • Strong first-principles problem-solving approach, with the ability to make assumptions explicit, identify meaningful constraints, and derive solutions rather than simply applying familiar patterns.
  • Experience working on large-scale systems where correctness, performance, reliability, and operational behavior are critical considerations.
  • Ability to work effectively with ambiguity by engaging product, customers, and engineering stakeholders, defining a clear scope, and taking ownership of the resulting technical direction.
  • Strong ability to translate complex product requirements into technical requirements, architectural designs, implementation plans, and actionable engineering tasks.
  • Experience working across multiple programming languages and technologies, with the flexibility to select the most appropriate tool for a given problem.
  • Strong written and verbal communication skills, particularly in distributed and asynchronous environments where clear documentation and thoughtful written communication are essential.
  • Demonstrated ability to influence engineering standards, conduct effective design reviews, improve development practices, and mentor other engineers.
  • Strong practical experience with AI-assisted development tools, including an understanding of their capabilities, limitations, and failure modes, combined with a high bar for avoiding low-quality or unreliable AI-generated output.
  • Ability to operate independently, prioritize effectively, and maintain ownership in a remote-first environment with a high degree of autonomy.
  • Experience with data lakes and modern storage formats such as Parquet, Apache Iceberg, or Delta Lake is a plus.
  • Experience working at a company or product organization where data itself is a core part of the product is a plus.
Benefits
  • Competitive salary and equity package positioned within the top 25% of comparable companies in the space.
  • Employee equity program with employee-friendly terms, including an approximately 90% discounted strike price and a 10-year exercise window.
  • 5 weeks of paid time off plus local public holidays, with flexibility to swap holidays where appropriate.
  • Fully remote-first working model within a distributed international team.
  • Flexible working hours, giving you significant autonomy to structure your working day.
  • Strong async-first culture designed to reduce unnecessary meetings and protect focused deep-work time.
  • Private medical insurance, including dental and vision coverage.
  • Fully paid parental leave of 16 weeks for primary caregivers and 6 weeks for secondary caregivers, plus a 2-week part-time phased return at full pay.
  • Quarterly company or team offsites in different international locations to connect, collaborate, and spend time together.
  • Annual travel allowance to enable employees to connect and co-work with colleagues for several days.
  • Home-office setup allowance, with local coworking space costs covered if preferred.
  • Opportunity to work alongside highly experienced engineers and colleagues in a collaborative, distributed environment.
  • Opportunity to work on challenging data infrastructure and blockchain analytics problems with significant technical ownership and impact.
  • Company merchandise and other team perks.
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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