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Remote Data Collection Supervisor Jobs in Missouri

$5.0K - $6.5K/mo

This fully remote opportunity is designed for an experienced Python engineer passionate about ... Build, improve, and maintain data collection processes, including web scrapers and automated data ...

$15 - $18.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

$14.25 - $18/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

$15 - $18.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Identify opportunities to implement procedures for new data collection processes and/or data ...

IT Support Supervisor

Springfield, MO · Remote

$80K - $115K/hr

We are seeking an experienced IT Support Supervisor to lead a remote team focused on IT training, ... Support system stability, application readiness, data integrity, and compliance requirements

New

Remote Insurance Agent

Kansas City, MO · Remote

$60K - $110K/yr

By applying, you consent to the collection and use of your personal information for recruitment ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Remote Insurance Agent

Saint Louis, MO · Remote

$60K - $110K/yr

By applying, you consent to the collection and use of your personal information for recruitment ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams. * Support the full TCPED process for OPIR -- from tasking and collection planning ...

Showing results 21-40

Remote Data Collection Supervisor information

What is the difference between Remote Data Collection Supervisor vs Remote Data Analyst?

AspectRemote Data Collection SupervisorRemote Data Analyst
CredentialsTypically requires a bachelor's degree in a related field; certifications in data collection or project management are a plusUsually holds a bachelor's or master's degree in statistics, data science, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentOversees remote data collection teams, manages data gathering processes, and ensures data qualityAnalyzes data sets, creates reports, and provides insights, often working independently or in small teams
Employer & Industry UsageUsed in research, healthcare, and market research industries for managing data collection projectsCommon across finance, marketing, healthcare, and tech sectors for data analysis and reporting

The Remote Data Collection Supervisor focuses on managing remote teams and overseeing data gathering processes, while the Remote Data Analyst concentrates on analyzing data and generating insights. Both roles require strong analytical skills, but their primary responsibilities and work environments differ significantly.

What are the most commonly searched types of Data Collection Supervisor jobs in Missouri?

The most popular types of Data Collection Supervisor jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Collection Supervisor jobs?

Cities in Missouri with the most Remote Data Collection Supervisor job openings:

$5.0K - $6.5K/mo

Full-time

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 Senior Python Engineer based in Netherlands.

This fully remote opportunity is designed for an experienced Python engineer passionate about building scalable data platforms and solving complex backend challenges. In this role, you will contribute to the development and improvement of high-volume data ingestion systems that power critical business insights. You will work with large-scale data pipelines, distributed systems, and modern engineering practices while collaborating with a highly skilled international technology team. The position offers the opportunity to take ownership of impactful technical projects, improve platform reliability, and influence architectural decisions. You will play a key role in transforming complex data sources into reliable, actionable intelligence for global users.

Accountabilities
  • Develop and maintain robust Python-based solutions for large-scale data ingestion and backend systems.
  • Build, improve, and maintain data collection processes, including web scrapers and automated data pipelines.
  • Enhance platform performance, reliability, observability, and overall data quality.
  • Conduct technical research and investigations to solve complex engineering challenges.
  • Take ownership of architectural and conceptual components, including reliability, quality assurance processes, and automation initiatives.
  • Collaborate with engineering teams through code reviews, technical discussions, and cross-functional initiatives.
  • Analyze existing systems, reduce technical debt, and improve codebase maintainability.
  • Make data-driven technical decisions through exploratory data analysis and evaluation of system performance.
  • Contribute to scalable solutions using modern backend technologies, distributed systems, and event-driven architectures.
Requirements
  • Strong professional experience developing backend systems with advanced Python and SQL.
  • Experience working with large-scale data processing, distributed systems, and high-load environments.
  • Knowledge of event-driven architectures and message queue technologies such as RabbitMQ or Kafka.
  • Ability to investigate technical challenges, analyze data, and make informed engineering decisions.
  • Experience building reliable, maintainable software with a strong focus on quality and scalability.
  • Strong ownership mindset with the ability to manage projects independently and deliver impactful solutions.
  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Comfortable working in a fast-paced environment with changing priorities and evolving requirements.
  • Experience with data products, Big Data environments, BI, analytics, or machine learning teams is considered an advantage.
  • Familiarity with technologies such as PostgreSQL, Redis, Puppeteer, Playwright, Selenium, Pandas, NumPy, or Scikit-learn is a plus.
Benefits
  • Fully remote position based in Europe.
  • Competitive compensation ranging from approximately $5,000 to $6,500 per month, depending on experience.
  • Opportunity to work on large-scale data systems supporting global business intelligence products.
  • High level of ownership and autonomy within an experienced technology team.
  • Exposure to advanced technologies in data engineering, automation, and machine learning.
  • Collaborative international environment with opportunities for knowledge sharing and professional growth.
  • Opportunity to contribute to impactful products used by leading organizations worldwide.
  • Flexible remote working structure with collaboration across European time zones.
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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