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Remote Retail Data Systems Jobs in Missouri (NOW HIRING)

Jobgether

$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 ...

Jobgether

$66K - $83K/yr

Experience working with tracking platforms, affiliate systems, or partner data sources is beneficial. Benefits * Fully remote working environment with the flexibility to work from a location where ...

Jobgether

$20/hr

Our partner is looking for a Paid Remote Data Collection - Multilingual Video Recording Project ... systems. The project allows you to work independently, choose your own recording schedule, and ...

Jobgether

$66K - $83K/yr

Working in a fully remote, international environment, you will contribute to high-impact projects ... Our system identifies the top-fitting candidates, and this shortlist is then shared directly with ...

NV5

Geospatial Database Administrator

Saint Louis, MO · On-site +1

Location: Scott Air Force Base - Belleville, IL (This is not a remote position) * Security ... System and Security Administration: * Ensure compliance with Air Force cybersecurity and data ...

Jobgether

Experience with CTV, Retail Media Networks, or Walled Garden activation is preferred. * Familiarity ... Fully remote, flexible work environment. * Professional growth and development opportunities.

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All JobsRetail Data Systems JobsRemote Retail Data Systems JobsRemote Retail Data Systems Jobs in Missouri

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:

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

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

Remote Retail Data Systems jobs near you

Data Engineer, Sr.

Jobgether

Remote

$88K - $106K/yr

Contractor

Posted 9 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 Data Engineer, Sr. based in Netherlands.

Join a high-impact engineering team focused on modernizing large-scale data infrastructure and supporting critical database migration initiatives. In this role, you will design, build, and optimize cloud-based data pipelines while ensuring the reliable movement and transformation of structured and unstructured data. You'll work with modern AWS technologies, data lakes, and warehouse architectures to deliver scalable, high-performance solutions. This position offers the opportunity to solve complex technical challenges, collaborate with cross-functional teams, and contribute to product-driven development in a fully remote environment. If you enjoy building resilient data platforms and driving cloud innovation, this is an excellent opportunity to make a meaningful impact.

Accountabilities
  • Design, develop, and maintain scalable ETL pipelines to support large-scale data migration and integration projects.
  • Build, configure, and optimize AWS-based data lake and warehouse solutions using services such as Glue, S3, Athena, Redshift, Lake Formation, Lambda, EventBridge, and Step Functions.
  • Develop Python scripts and database procedures to automate data processing, transformation, validation, and migration workflows.
  • Manage relational databases, including MySQL, SQL Server, and Aurora MySQL, with a focus on performance, replication, and reliability.
  • Configure and troubleshoot AWS data engineering services, including Glue Catalog, Hudi tables, SQS, and CloudFormation resources.
  • Monitor data platforms, identify performance bottlenecks, and implement improvements to ensure scalability, security, and operational excellence.
  • Collaborate with product, engineering, and business teams while contributing to Agile development processes and technical planning.
Requirements
  • Proven experience as a Data Engineer with strong expertise in AWS cloud data engineering and migration projects.
  • Hands-on experience with AWS services including S3, Athena, Glue, Redshift, Lake Formation, Lambda, Step Functions, EventBridge, CloudFormation, and RDS.
  • Strong knowledge of relational databases, including MySQL, SQL Server, and data warehouse architecture, particularly Amazon Redshift.
  • Proficiency in Python for scripting, automation, ETL development, and data transformation.
  • Experience working with structured and unstructured data, data cleansing, conversion, and large-scale ETL processes.
  • Knowledge of Hudi table management, AWS Glue Catalog, SQS, and cloud-based data lake implementations.
  • Familiarity with Agile methodologies and product-focused software development environments.
  • Excellent analytical, troubleshooting, communication, and leadership skills with the ability to work independently in a remote setting.
  • Experience with AWS Database Migration Service (DMS), Scala, or Aurora MySQL replication is considered an advantage.
Benefits
  • Fully remote work environment with flexibility to work from anywhere.
  • Competitive contract compensation based on experience.
  • Opportunity to work on large-scale cloud migration and modern data platform initiatives.
  • Exposure to a broad AWS ecosystem and advanced cloud-native technologies.
  • Collaborative Agile environment with high levels of ownership and technical autonomy.
  • Opportunity to contribute to innovative, product-driven engineering projects and expand cloud data engineering expertise.
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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