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Remote Amazon Data Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$88.40K - $106.10K/yr

Working in a fully remote, international environment, you'll collaborate closely with data scientists, ML engineers, and developers to ensure high-quality, reliable, and well-structured data flows.

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113.30K - $136.10K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113.30K - $136.10K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare ...

Jobgether

$88.40K - $106.10K/yr

This role sits at the intersection of data engineering, analytics, and technical leadership ... This is a highly impactful leadership role in a fully remote, international environment where ...

New

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113.30K - $136.10K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

Jobgether

You will work in a collaborative, remote-first environment alongside engineers, analysts, and data specialists who are passionate about innovation and scalable infrastructure. The position combines ...

Jobgether

$88.40K - $106.10K/yr

We are currently looking for a Data Engineer (Java & Scala) in Netherlands. This role offers the ... Fully remote position within Europe with flexible working arrangements. * Opportunity to work on ...

Jobgether

$88.40K - $106.10K/yr

This is an excellent opportunity for a skilled Data Engineer to join an international, fully remote environment focused on building scalable and efficient data solutions. In this role, you will work ...

Jobgether

$80.20K - $108K/yr

Operating in a fully remote and fast-moving setup, you will take ownership of end-to-end ... Collaborate with engineering, product, and data teams to support system scalability and operational ...

Deloitte

AI and Data Science Engineer III

Kansas City, MO · On-site +1

$111.70K - $134.20K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Deloitte

AI and Data Science Engineer III

Saint Louis, MO · On-site +1

$111.30K - $133.70K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

CRB

Senior Data Engineer

Kansas City, MO · On-site +1

$103.40K - $140.50K/yr

Mentor junior data engineers and contribute to their professional growth within the organization ... Comfortable working and collaborating within a fully remote team. * Microsoft DP-700 Certification ...

CRB

Senior Data Engineer

Kansas City, MO · Remote

$103.40K - $140.50K/yr

Mentor junior data engineers and contribute to their professional growth within the organization ... Comfortable working and collaborating within a fully remote team. * Microsoft DP-700 Certification ...

CRB

Senior Data Engineer

Kansas City, MO · Remote

$103.40K - $140.50K/yr

Mentor junior data engineers and contribute to their professional growth within the organization ... Comfortable working and collaborating within a fully remote team. * Microsoft DP-700 Certification ...

Jobgether

$80.60K - $110.70K/yr

We are currently looking for a Senior Data Engineer - Ingestion & Platform in Netherlands. This is ... Fully remote work across Europe and the UK with flexible collaboration hours. * Strong work-life ...

CRB

Senior Data Engineer

Kansas City, MO · Remote

$103.40K - $140.50K/yr

Mentor junior data engineers and contribute to their professional growth within the organization ... Comfortable working and collaborating within a fully remote team.  * Microsoft DP-700 ...

UMB Financial

AI Data Architect

Kansas City, MO · On-site +1

$62.25 - $80/hr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must be within the US. How you will spend your time: * Define and ...

UMB Financial Corporation

AI Data Architect

Kansas City, MO · On-site +1

$62.25 - $80/hr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must be within the US. How you will spend your time: * Define and ...

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All JobsRemote Amazon Data Engineer JobsRemote Amazon Data Engineer Jobs in Missouri

Remote Amazon Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Amazon Data Engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Missouri? The most popular types of Amazon Data Engineer jobs in Missouri are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Missouri? For Remote Amazon Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Missouri look for? The top searched job categories for Remote Amazon Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Amazon Data Engineer jobs? Cities in Missouri with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you

Data Engineer

Jobgether

On-site, Remote

$88.40K - $106.10K/yr

Full-time

Posted 5 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in Netherlands.

This role sits at the intersection of software engineering and advanced data systems, supporting global organizations in turning massive, complex datasets into actionable insights. You will design and build scalable data pipelines that power analytics, machine learning, and real-world scientific and business decisions. Working in a fully remote, international environment, you'll collaborate closely with data scientists, ML engineers, and developers to ensure high-quality, reliable, and well-structured data flows. Your work will directly contribute to impactful domains such as biotech, pharma, and enterprise analytics. The role offers strong ownership across data architecture, engineering best practices, and performance optimization. You'll be part of a highly skilled team that values clean engineering, scientific rigor, and meaningful impact.

Accountabilities

In this role, you will be responsible for designing, developing, and maintaining scalable data systems that support large and diverse datasets.

  • Design, build, and maintain scalable data pipelines across multiple environments and data sources.
  • Integrate structured and unstructured data into data warehouses and data lakes.
  • Collaborate with cross-functional teams to ensure data quality, consistency, and accessibility.
  • Develop and optimize ETL/ELT workflows for performance, reliability, and maintainability.
  • Build and refine database schemas, data models, and technical documentation.
  • Implement data governance, security standards, and compliance best practices.
  • Monitor data systems and continuously improve integrity, scalability, and efficiency.
Requirements

We are looking for a strong backend-oriented Data Engineer with solid experience in Python and modern data engineering practices.

  • Strong experience in backend development using Python, with clean and scalable architecture practices.
  • Proficiency with frameworks such as FastAPI, Django REST Framework, or Flask.
  • Solid understanding of SQL, database modeling, and query optimization.
  • Hands-on experience building and maintaining ETL/ELT pipelines.
  • Experience integrating data from multiple sources such as APIs, databases, and streaming systems.
  • Familiarity with distributed systems or large-scale data processing tools.
  • Understanding of data governance, security, and data quality principles.
  • Exposure to cloud platforms such as AWS, Azure, or GCP is a plus.
  • Knowledge of Docker, Kubernetes, and CI/CD tools is advantageous.
  • Experience in life sciences, biotech, genomics, or clinical data environments is a strong plus.
  • Strong collaboration skills and ability to work effectively in distributed, international teams.
Benefits
  • Competitive B2B compensation up to 23,000 PLN net/month.
  • Fully remote work with global collaboration opportunities.
  • Modern work equipment (MacBook or ThinkPad with Linux environment).
  • Budget for professional development, including training, certifications, and conferences.
  • Opportunity to work on high-impact projects in biotech, pharma, and enterprise analytics.
  • Exposure to cutting-edge data engineering and scientific data challenges.
  • Collaborative, supportive, and high-performing engineering culture.
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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