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Flexible Remote Azure Data Engineer Jobs in Missouri

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale ... The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data ...

Jobgether

$94K - $124K/yr

Our partner is looking for a Senior Azure/Fabric Data Engineer based in Netherlands. Join a ... Fully remote contract opportunity for Europe-based professionals. * Opportunity to lead the ...

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 ... Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified ...

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, visualization, AI, and analytics * Design and Build Azure Data services including ADF, ADL, AMM ...

Jobgether

$88K - $106K/yr

Install, configure, monitor, and troubleshoot Talend Remote Engine environments while maintaining ... Design and integrate RESTful APIs and support secure data services using Azure API Management and ...

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 ...

UnitedHealth Group

Senior Software Engineer

Bridgeton, MO · Remote

$116K - $153K/yr

Position Summary As a Sr. Software Engineer on the MCDS (Multi Channel Claim Distribution Platform ... Design, implement, and optimize backend data persistence layers using Azure SQL Managed Instance ...

New

MasterCard

Senior Data Engineer

O Fallon, MO · On-site

$99K - $134K/yr

... Azure, or GCP) and modern data tooling Experience with event-driven or streaming architectures ... flexible spending account and health savings account; paid leaves (including 16 weeks of new parent ...

Kohl's

$112K - $148K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate ... Exposure working with major cloud platforms (GCP, AWS, or Azure) * Familiarity and experience with ...

Jobgether

$88K - $106K/yr

This is a fully remote opportunity for a data engineering professional specializing in web scraping, data processing, and automation. You'll design and maintain sophisticated scrapers that transform ...

Avtech solution

Azure Architect

Saint Louis, MO · Remote

$61.75 - $80.50/hr

... Remote Apps etc. Experience and understanding of security requirements for cloud like IAM, Web ... Microsoft certified Azure certifications (preferred) Experience in Azure automation and DevOps ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... driven workflow (shell, remote access and debugging) on macOS or Linux. Preferred Skills ...

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Flexible Remote Azure Data Engineer information

What is the difference between Flexible Remote Azure Data Engineer vs Flexible Remote Data Analyst?

AspectFlexible Remote Azure Data EngineerFlexible Remote Data Analyst
Required CredentialsAzure certifications, SQL, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud-based, technical, infrastructure-focusedData interpretation, reporting, business insights
Employer & Industry UsageTech, finance, healthcare, cloud service providersMarketing, finance, retail, consulting firms

Flexible Remote Azure Data Engineers focus on building and maintaining data pipelines in cloud environments using Azure tools, requiring technical certifications. Data Analysts interpret data and create reports, often using similar tools but with a focus on business insights. Both roles are remote-friendly and in high demand across industries, but their core responsibilities and skill sets differ.

What are popular job titles related to Flexible Remote Azure Data Engineer jobs in Missouri?

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

What job categories do people searching Flexible Remote Azure Data Engineer jobs in Missouri look for?

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Flexible Remote Azure Data Engineer jobs near you
Infographic showing various Flexible Remote Azure Data Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Data Engineer - Senior

Jobgether

Remote

$88K - $106K/yr

Contractor

Posted 8 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 Data Engineer - Senior based in Netherlands.

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions that support reliable, analytics-ready information across the organization. Working closely with business stakeholders, product owners, architects, and technical teams, you will help turn diverse data sources into trusted and usable datasets. The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data architectures. You will work extensively with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage Gen2, Python, SQL, and Delta Lake. This is an environment where strong engineering practices, problem-solving, and data quality directly contribute to business and technology outcomes.

Accountabilities
  • Design, develop, and maintain scalable, reliable data solutions supporting a large-scale digital transformation program.
  • Build and optimize robust ETL/ELT pipelines that integrate data from diverse sources into trusted, analytics-ready datasets.
  • Develop cloud-based data solutions using the Microsoft Azure ecosystem, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and related services.
  • Use Python and SQL to develop data transformations, processing workflows, integrations, and analytical data solutions.
  • Design and manage data models and architectures that support scalability, reliability, performance, and data quality.
  • Work extensively with Azure Databricks and Delta Lake to build and optimize modern data processing and storage solutions.
  • Collaborate with business stakeholders, product owners, data architects, and technical teams to understand requirements and translate them into effective data engineering solutions.
  • Apply version control and engineering best practices using tools such as Git to support maintainable, collaborative development.
  • Leverage AI-powered tools where appropriate for code generation, data analysis, automation, optimization, and other data engineering activities.
  • Troubleshoot technical issues, optimize data workflows, and continuously improve pipeline performance, reliability, and maintainability.
  • Communicate technical concepts clearly and contribute to effective collaboration across business and technical teams.
Requirements:
  • At least 5 years of hands-on experience with Python and SQL in a data engineering environment.
  • At least 3 years of experience working with Azure services, including Azure Storage, Azure SQL, Azure Synapse, and Azure networking.
  • At least 3 years of hands-on experience with Azure Databricks and Delta Lake.
  • At least 3 years of experience designing data solutions and developing trusted, analytics-ready datasets.
  • At least 4 years of experience with version control systems, particularly Git.
  • At least 1 year of practical experience using AI tools for code generation, data analysis, automation, optimization, or related data engineering tasks.
  • Strong understanding of data engineering principles, ETL/ELT processes, data integration, and data pipeline development.
  • Advanced SQL development and data transformation capabilities.
  • Proven experience working with cloud-based data platforms and modern data architectures.
  • Strong analytical and problem-solving abilities, with a structured approach to diagnosing and resolving complex technical challenges.
  • Excellent communication and collaboration skills, with the ability to work effectively with both technical teams and business stakeholders.
  • Ability to work independently in a remote environment while maintaining strong ownership, organization, and delivery focus.
Benefits:
  • Fully remote position, offering flexibility to work from Slovenia.
  • Opportunity to contribute to a large-scale digital transformation initiative with significant data engineering scope.
  • Work with a modern Microsoft Azure cloud data ecosystem and widely used data engineering technologies.
  • Exposure to advanced platforms and tools including Azure Databricks, Delta Lake, Azure Synapse, Azure Data Factory, Python, and SQL.
  • Opportunity to apply AI-powered engineering tools to improve development, automation, analysis, and optimization.
  • Collaboration with multidisciplinary teams including business stakeholders, product owners, data architects, and technical specialists.
  • Opportunity to work on scalable, production-focused data solutions with direct business impact.
  • Remote working environment designed to support autonomy and flexibility.
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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