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Remote Data Processing Jobs in Missouri (NOW HIRING)

Jobgether

$94K - $124K/yr

Fully remote contract opportunity for Europe-based professionals. * Opportunity to lead the ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

EquipmentShare

Senior Software Engineer

Columbia, MO · Remote

$116K - $153K/yr

This position is fully remote. We are looking for a Senior Software Engineer to help us continue to ... Exposure to event driven architectures and high volume data processing. * Practical experience with ...

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

Identify and implement process improvements to streamline financial operations and reporting cycles ... Advanced knowledge of SQL for data extraction and manipulation. * Familiarity with financial ...

GRVTY

Geospatial Data Content Manager Mid

Arnold, MO · On-site +1

Develop and apply methods to identify, collect, process, and analyze large volumes of data to build ... Ability to use and contribute code to repositories, i.e., local, remote, and shared (e.g., Github ...

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Drive hiring processes to attract and retain top data engineering talent globally. * Create an ...

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Remote Data Processing information

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a remote data processing specialist?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are the most commonly searched types of Data Processing jobs in Missouri?

The most popular types of Data Processing jobs in Missouri are:

What are popular job titles related to Remote Data Processing jobs in Missouri?

For Remote Data Processing jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Data Processing jobs in Missouri look for?

The top searched job categories for Remote Data Processing jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Processing jobs?

Cities in Missouri with the most Remote Data Processing job openings:

Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Missouri as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution.

Senior Azure/Fabric Data Engineer

Jobgether

Remote

$94K - $124K/yr

Contractor

Posted 14 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 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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