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Remote Retail Data Systems Jobs in Missouri (NOW HIRING)

$81K - $111K/yr

Passion for scalable data engineering, continuous learning, and building reliable systems that support business growth. Benefits * Fully remote position with the flexibility to work from anywhere. * ...

Database Engineer - Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Database Engineer (Remote) As a Database Engineer, you will help design, support, and optimize the data systems that power critical environmental research for the U.S. Geological Survey (USGS). In ...

Contribute to architectural decisions involving modern data systems, including batch processing ... Remote-first working environment with flexibility across Europe. * Opportunity to lead impactful ...

Database Engineer | Remote

Rolla, MO · On-site +1

$70K - $80K/yr

Database Engineer | Remote As a Database Engineer, you will help design, support, and optimize the data systems that power critical environmental research for the U.S. Geological Survey (USGS). In ...

This remote role focuses on strengthening enterprise data trust and ensuring high-quality, well ... Experience using collaboration tools such as ticketing systems, version control platforms, and ...

You will lead engineering teams, improve data capabilities, and ensure reliable systems that ... Benefits: * Remote-first work environment with flexibility to work from anywhere in the world.

$49.25 - $63.25/hr

Lead cross-system data integration efforts, including entity resolution, aggregation, and ... Fully remote engagement with flexible working arrangements. * Opportunity to architect a next ...

Develop systems spanning data retrieval, embeddings, conversational interfaces, and intelligent ... Remote-first international work environment with high autonomy and flexibility. * Exposure to ...

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 ...

$58.50 - $75.25/hr

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a ... Background in retail, e-commerce, or large-scale consumer data environments. Essential Functions ...

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 ...

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Remote Retail Data Systems information

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:

$81K - $111K/yr

Full-time

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 Senior Data Engineer based in Netherlands.

As a Senior Data Engineer, you will own the complete data lifecycle, from ingestion and infrastructure to modeling, analytics, and business insights. Working in a fully remote, high-growth environment, you will design scalable data platforms that support strategic decision-making across product, finance, and growth teams. This role offers the opportunity to build resilient, production-grade data systems while leveraging modern cloud technologies and AI-powered development tools. You will collaborate closely with cross-functional stakeholders, solve complex data challenges at scale, and play a critical role in shaping a data-driven organization. If you enjoy end-to-end ownership, continuous innovation, and building systems that can grow alongside the business, this is an excellent opportunity to make a lasting impact.

Accountabilities
  • Design, build, and maintain scalable data pipelines from source systems through data warehouses and analytics platforms.
  • Develop and optimize data ingestion workflows using cloud-native technologies, orchestration tools, and Python-based data loaders.
  • Create and maintain reliable data models that enable accurate reporting, business intelligence, and self-service analytics.
  • Deliver actionable analyses that explain business performance and support strategic decision-making.
  • Build data infrastructure with scalability, reliability, performance, and cost optimization as core design principles.
  • Manage infrastructure as code to ensure consistent, automated deployment and maintenance of the data platform.
  • Partner closely with product, finance, growth, and engineering teams to translate business questions into trusted data solutions.
  • Leverage AI-powered development tools to improve engineering productivity while maintaining full ownership of production quality.
  • Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
  • Stay current with emerging technologies and best practices in data engineering, cloud infrastructure, and artificial intelligence.
Requirements
  • 5+ years of experience designing, building, and operating production-grade data pipelines and modern data platforms.
  • Strong expertise with cloud data technologies such as Google Cloud Platform, BigQuery, dbt, Airflow, Dataflow, or equivalent solutions.
  • Experience with infrastructure as code using tools such as Pulumi or Terraform.
  • Advanced SQL skills and proficiency in Python for data engineering and automation.
  • Experience working with analytics platforms and transforming complex datasets into business insights.
  • Familiarity with AI-assisted development tools and an understanding of how to apply them responsibly within engineering workflows.
  • Strong analytical thinking with the ability to identify root causes behind business metrics and performance changes.
  • Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.
  • Comfortable working independently in a fast-paced, remote-first environment with a high level of ownership.
  • Passion for scalable data engineering, continuous learning, and building reliable systems that support business growth.
Benefits
  • Fully remote position with the flexibility to work from anywhere.
  • Co-working space membership or allowance to support your preferred work environment.
  • Equity participation through an employee stock ownership program (ESOP).
  • Technology allowance to build your ideal home office setup.
  • Comprehensive health insurance, including full employee coverage and substantial dependent coverage.
  • Flexible, asynchronous work schedule that promotes autonomy and work-life balance.
  • Annual professional development budget for courses, conferences, books, and learning resources.
  • Annual company off-site events that bring together global team members for collaboration and networking.
  • Opportunity to work with modern cloud technologies, large-scale data systems, and cutting-edge AI tools.
  • Collaborative, international environment focused on innovation, ownership, and continuous growth.
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!
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