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Remote Amazon Optimization Jobs in Missouri (NOW HIRING)

Jobgether

$81K - $111K/yr

... in a remote environment. Accountabilities: The Senior Data Engineer will be responsible for ... Design integrations between data workflows and backend microservices running on Amazon ECS.

All JobsAmazon Optimization JobsRemote Amazon Optimization JobsRemote Amazon Optimization Jobs in Missouri

Remote Amazon Optimization information

What is remote Amazon optimization?

Remote Amazon Optimization refers to the process of improving and managing product listings, advertising campaigns, and overall sales performance on Amazon from a remote location. Specialists in this role use data analysis, keyword research, and marketing strategies to enhance product visibility, increase conversions, and boost sales. They may work for brands, agencies, or as freelancers, and often collaborate with teams virtually. Typical tasks include optimizing product titles and descriptions, managing PPC ads, monitoring performance metrics, and implementing best practices for Amazon SEO.

What is the difference between Remote Amazon Optimization vs Remote Amazon PPC Specialist?

AspectRemote Amazon OptimizationRemote Amazon PPC Specialist
Primary FocusOverall product listing optimization, including keywords, images, and contentManaging and optimizing Amazon advertising campaigns
Required SkillsSEO, listing optimization, product researchAd campaign management, bid strategies, analytics
CertificationsAmazon SEO certifications, e-commerce experienceAmazon Advertising certifications, PPC expertise
Work EnvironmentRemote, e-commerce teams, product listingsRemote, marketing teams, ad platforms

Remote Amazon Optimization focuses on enhancing product listings to improve organic visibility, while Remote Amazon PPC Specialist concentrates on managing paid advertising campaigns. Both roles often overlap but serve different strategic purposes within Amazon seller operations.

What are the key skills and qualifications needed to thrive as a remote Amazon optimization specialist?

To thrive as a Remote Amazon Optimization Specialist, you need expertise in e-commerce strategies, Amazon Seller Central, product listing optimization, and data analysis, often supported by experience in digital marketing or certifications like Amazon Advertising. Familiarity with tools such as Helium 10, Jungle Scout, and Amazon PPC platforms is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for success in this role. These skills help maximize product visibility, drive sales growth, and ensure seamless collaboration with remote teams.

What are some common challenges faced in a remote Amazon optimization role, and how can they be addressed?

One of the main challenges in a remote Amazon optimization role is staying updated with Amazon's frequently changing algorithms and policies, which can impact product visibility and sales. Additionally, effective communication with cross-functional teams, such as marketing, design, and inventory management, can be more complex when working remotely. To address these challenges, it's important to establish regular check-ins with team members, utilize project management tools, and dedicate time for continuous learning about Amazon's platform. Staying proactive and maintaining clear documentation can also help in managing optimization strategies efficiently across remote teams.
What are popular job titles related to Remote Amazon Optimization jobs in Missouri? For Remote Amazon Optimization jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Optimization jobs in Missouri look for? The top searched job categories for Remote Amazon Optimization jobs in Missouri are:
What cities in Missouri are hiring for Remote Amazon Optimization jobs? Cities in Missouri with the most Remote Amazon Optimization job openings:
Remote Amazon Optimization jobs near you

Senior Data Engineer

Jobgether

On-site, Remote

$81K - $111K/yr

Full-time

Posted 28 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 Data Engineer based in Netherlands.

The role focuses on designing and evolving scalable, cloud-native data platforms that support critical analytics, reporting, and product capabilities.
You will take ownership of complex data engineering solutions across ingestion, transformation, and data serving layers.
Working within a distributed international team, you will collaborate closely with backend engineers and technical stakeholders.
The position offers the opportunity to shape architecture decisions, improve data reliability, and build high-performing systems.
You will work extensively with AWS technologies, distributed processing, and modern engineering practices.
This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote environment.

Accountabilities:

The Senior Data Engineer will be responsible for building and maintaining reliable, scalable data solutions while contributing to technical strategy and platform evolution.

  • Design, develop, and own batch-oriented data pipelines and ETL workflows using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
  • Build and optimize ingestion pipelines using AWS-native services, including AppFlow, DMS, and selected event-streaming solutions.
  • Develop and maintain analytical data models and query layers using technologies such as Amazon Athena, Amazon Redshift, and ClickHouse.
  • Design integrations between data workflows and backend microservices running on Amazon ECS.
  • Collaborate with software engineers to develop backend services and APIs that expose data capabilities.
  • Contribute to event-driven architectures using services such as EventBridge to coordinate workflows and system interactions.
  • Ensure data quality, lineage, observability, monitoring, and alerting across data systems.
  • Improve performance and scalability across data processing jobs, analytical queries, and storage solutions.
  • Implement engineering best practices around Infrastructure as Code, CI/CD, security, governance, and sensitive data handling.
  • Mentor other engineers and contribute to architectural decisions and long-term technical direction.
Requirements:

The ideal candidate brings extensive experience in data engineering and backend development, with strong technical expertise in cloud-based data platforms and distributed systems.

  • 8+ years of experience in data engineering, backend engineering, or a related hybrid role.
  • Strong hands-on experience with AWS services, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
  • Proven experience designing and building scalable batch data pipelines and ETL systems.
  • Strong programming skills in Java for backend services and Python for data processing workflows.
  • Experience working with containerized applications and orchestration platforms such as Amazon ECS.
  • Familiarity with microservices architectures and backend system design.
  • Experience with event-driven systems and messaging services such as SQS and EventBridge.
  • Advanced SQL skills with experience optimizing analytical queries and data workloads.
  • Knowledge of distributed processing frameworks, including Spark-based solutions.
  • Strong understanding of data modeling, storage strategies, partitioning, and performance optimization across multiple data platforms.
  • Experience with data quality practices, monitoring frameworks, and governance principles is a plus.
  • Familiarity with Apache Airflow or similar orchestration tools is beneficial.
  • Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems, and AWS certifications is considered an advantage.
Benefits:
  • Fully remote work arrangement from a home office in Romania, Poland, or Portugal.
  • Opportunity to collaborate with a diverse international team across multiple regions.
  • Flexible working environment within a distributed engineering organization.
  • The chance to work on impactful, large-scale data platforms and modern cloud technologies.
  • Competitive compensation package based on experience and expertise.
  • Opportunity to contribute to technical strategy and influence architecture decisions.
  • Professional growth opportunities through challenging engineering projects and collaboration with experienced 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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