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Sr Azure Data Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$88K - $106K/yr

Our partner is looking for an Azure Data Engineer based in Netherlands. This role offers the opportunity to strengthen cybersecurity operations by engineering reliable, scalable security data ...

BlackCube Labs

Data Bricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual ...

Fractal Analytics

Data Bricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual ...

Fractal Analytics

Databricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual ...

savealot

Sr. Data Engineer

Saint Ann, MO · On-site

$107K - $128K/yr

Purpose The IT Engineer Senior Data is responsible for designing and developing solutions and ... Azure Data Factory, and SQL Server Integration Services recommended) * Assist in optimizing and ...

New

Save A Lot

Sr. Data Engineer

Saint Ann, MO · On-site

$106K - $135K/yr

Purpose The IT Engineer Senior Data is responsible for designing and developing solutions and ... Azure Data Factory, and SQL Server Integration Services recommended) * Assist in optimizing and ...

New

BlackCube Labs

Databricks DE with Azure

California, MO · On-site

$120 - $140/hr

Azure Databricks Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual ...

Baer

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$52.25 - $64.75/hr

This role requires strong Azure data engineering, programming, and SQL skills in an Agile development environment. Description * Design, develop, and maintain scalable data pipelines using Azure ...

Baer Group

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$83 - $152/hr

This role requires strong Azure data engineering, programming, and SQL skills in an Agile development environment. Description * Design, develop, and maintain scalable data pipelines using Azure ...

The Baer Group

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$53.50 - $66.25/hr

This role requires strong Azure data engineering, programming, and SQL skills in an Agile development environment. Description * Design, develop, and maintain scalable data pipelines using Azure ...

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All JobsSr Azure Data Engineer JobsSr Azure Data Engineer Jobs in Missouri

Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

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

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

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For Sr Azure Data Engineer jobs in Missouri, the most frequently searched job titles are:

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Sr Azure Data Engineer jobs near you
Infographic showing various Sr 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.

Azure Data Engineer

Jobgether

On-site

$88K - $106K/yr

Full-time

Posted 13 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 an Azure Data Engineer based in Netherlands.

This role offers the opportunity to strengthen cybersecurity operations by engineering reliable, scalable security data pipelines across cloud and on-premises environments.
You will work with high volumes of security telemetry and help ensure critical data is available for threat detection, incident response, compliance, and cyber risk visibility.
The position combines hands-on data engineering with cybersecurity, cloud technologies, automation, and data quality management.
You'll collaborate with application, infrastructure, security, governance, and vendor teams to onboard and optimize diverse data sources.
The role is well suited to an engineer who enjoys troubleshooting complex ingestion challenges and improving system reliability and efficiency.
You'll operate in a highly regulated financial services environment where data integrity, security, and operational excellence are essential.
This is an opportunity to make a direct impact on the organization's ability to detect, investigate, and respond to cyber threats.

Accountabilities:
  • Design, build, and maintain scalable security data ingestion pipelines for SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics.
  • Parse, normalize, transform, enrich, and validate structured and unstructured security telemetry using regex, JSON parsing, schema mapping, and other data-processing techniques.
  • Partner with application owners, infrastructure and cloud teams, vendors, security stakeholders, and other internal groups to onboard new log sources and validate end-to-end data flows.
  • Ensure the integrity, completeness, timeliness, and quality of security telemetry used for monitoring, detection, incident response, reporting, and risk management.
  • Align security data with established schemas, naming conventions, governance standards, and organizational requirements to support downstream analytics and automation.
  • Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across diverse platforms and environments.
  • Maintain clear documentation covering log onboarding procedures, source requirements, data mappings, pipeline configurations, and operational support processes.
  • Collaborate with detection engineering and security operations teams to ensure telemetry supports investigation, threat detection, response, and cyber risk use cases.
  • Conduct telemetry gap analyses, identify missing or incomplete data sources, and recommend priorities for improving security coverage.
  • Support logging practices that meet regulatory, audit, compliance, retention, and data-integrity requirements.
  • Improve ingestion frameworks, automation, and onboarding processes to increase scalability, repeatability, reliability, and cost efficiency.
  • Support infrastructure-as-code, scripting, and automation initiatives that streamline deployment and ongoing pipeline maintenance.
  • Monitor pipeline performance and work with stakeholders to optimize ingestion reliability, throughput, and operational costs.
  • Stay current with emerging cybersecurity telemetry formats, logging standards, data engineering practices, and cloud security data-platform capabilities.
Requirements:
  • 3+ years of relevant experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline.
  • Hands-on experience onboarding, managing, and validating log sources within SIEM, cloud data platforms, or security analytics environments.
  • Strong understanding of data parsing, normalization, transformation, and validation, including experience with regex, JSON, XML, CSV, and both structured and unstructured data.
  • Familiarity with security telemetry from network, endpoint, identity, application, cloud, and infrastructure environments.
  • Experience working with cloud platforms and associated logging, monitoring, and analytics services, particularly within the Azure ecosystem.
  • Strong troubleshooting and analytical skills, with the ability to diagnose pipeline, ingestion, schema, and data-quality problems.
  • Understanding of compliance and regulatory requirements related to logging, retention, auditability, and data integrity.
  • Experience with scripting or automation technologies such as Python, PowerShell, or similar tools is preferred.
  • Familiarity with query languages used to validate, investigate, and analyze ingested security data.
  • Ability to coordinate complex onboarding initiatives across internal teams, vendors, and multiple stakeholders.
  • Strong organizational skills and the ability to balance operational support, project delivery, and continuous improvement.
  • Exceptional attention to detail and a strong sense of ownership for data quality and technical outcomes.
  • Broader cybersecurity experience in areas such as threat detection, incident response, vulnerability management, or cloud security is an advantage.
  • Strong communication, collaboration, judgment, and accountability, with the ability to work effectively within global teams.
Benefits:
  • Remote work opportunity from anywhere.
  • Opportunity to work on cybersecurity data engineering within a highly regulated financial services environment.
  • Exposure to large-scale security telemetry, SIEM platforms, Azure data services, cloud environments, and security operations.
  • Hands-on opportunities to develop scalable pipelines, automation, infrastructure-as-code, and data-quality solutions.
  • Cross-functional collaboration with cybersecurity, cloud, infrastructure, application, governance, and vendor teams.
  • Opportunity to contribute directly to threat detection, incident response, compliance, and cyber risk visibility.
  • Professional growth through exposure to evolving cloud security, telemetry, and data engineering technologies.
  • A collaborative global working environment with opportunities to solve complex technical challenges.
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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