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Remote Retail Data Systems Jobs in Missouri (NOW HIRING)

$81K - $111K/yr

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 ...

$94K - $124K/yr

Ability to collaborate effectively in a remote, global engineering environment. Nice-to-have qualifications include: * Experience working with market data platforms or financial technology systems.

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Familiarity with database management systems and data administration tools. * Excellent analytical ... Flexible working hours and fully remote work environment. * Generous paid vacation and time off ...

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

Senior Data Engineer I More than a mission, C2FO is a better financial system, changing the way ... This position is fully remote, requiring a reliable internet connection in a private setting.

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Guide architectural decisions for high-throughput, real-time and batch data systems, ensuring they ...

Execute project tasks for systems and applications, focusing on optimizing efficiency and ... Build and maintain data pipelines, APIs, and discovery patterns (e.g., ServiceNow Discovery, SCCM ...

$104K - $139K/yr

Contribute to an ambitious vision: making data systems faster, simpler, and more powerful for developers everywhere. #LI-remote

$190K - $300K/yr

Remote-first culture focused on outcomes, innovation, and technical impact. * Exposure to complex distributed systems, cloud infrastructure, and large-scale data challenges. * Professional growth ...

$88K - $106K/yr

Fully remote work environment with flexibility to work from anywhere. * Competitive contract ... Our system identifies the top-fitting candidates, and this shortlist is then shared directly with ...

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Remote Retail Data Systems information

Are there actually remote retail data systems jobs?

Remote retail data systems jobs are available and involve managing and analyzing retail data remotely using tools like data management software and cloud platforms. These roles often require skills in data analysis, database management, and familiarity with retail operations, and they can offer flexible schedules depending on the employer.

What is the difference between Remote Retail Data Systems vs Remote Retail Data Analysts?

AspectRemote Retail Data SystemsRemote Retail Data Analysts
CredentialsTypically requires knowledge of data management, retail systems, and sometimes certifications in data or retail softwareRequires analytical skills, proficiency in data analysis tools, and often a degree in data science, statistics, or related fields
Work EnvironmentFocuses on managing retail data systems, software configuration, and data integrity remotelyInvolves analyzing retail data, generating reports, and providing insights remotely
Industry UsageUsed by retail companies to maintain and optimize data systemsEmployed by retail firms to interpret data and support decision-making

Remote Retail Data Systems professionals focus on managing and maintaining retail data infrastructure, while Remote Retail Data Analysts interpret data to inform business strategies. Both roles are essential in retail data management but differ in their primary functions and skill sets.

What are popular job titles related to Remote Retail Data Systems jobs in Missouri? For Remote Retail Data Systems jobs in Missouri, the most frequently searched job titles are:

Senior Data Engineer

Jobgether

On-site, Remote

$81K - $111K/yr

Full-time

Re-posted yesterday


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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