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Remote Snowflake Jobs in Missouri (NOW HIRING)

Jobgether

$97K - $132K/yr

Working knowledge of SQL and modern data platforms and technologies such as Databricks, Snowflake ... Fully remote work environment with a standard 40-hour work week . * Limited travel, generally less ...

Jobgether

... Snowflake, or BigQuery, is a plus. * Spanish proficiency is considered an additional advantage ... Fully remote working environment with the flexibility to work from anywhere. * One-time home office ...

New

Jobgether

$48.50 - $64/hr

Work with technologies such as Apache Spark, Snowflake, MySQL, PostgreSQL, MongoDB, and comparable data platforms. * Establish AI evaluation frameworks, test suites, representative datasets ...

New

3B Staffing LLC

DB2 LUW DBA

Kansas City, MO · Remote

Fully remote We're hiring for a short-term contract to lead a new DB2 LUW deployment in AWS. Ideal for someone with strong Mainframe DB2 (z/OS) experience who has stood up DB2 in the cloud and can ...

3B Staffing LLC

DB2 LUW DBA

Kansas City, MO · Remote

Fully remote We're hiring for a short-term contract to lead a new DB2 LUW deployment in AWS. Ideal for someone with strong Mainframe DB2 (z/OS) experience who has stood up DB2 in the cloud and can ...

3B Staffing LLC

Data Engineer/BA

Kansas City, MO · Remote

$111K - $134K/yr

Citizen Vacation/Remote working = not permissible Laptops are to be secured at all times, no travel allowed with laptop Must be ready at all times to have camera ON while working MUST have a quiet ...

New

micro1 AI

Senior Database Reliability Engineer

Columbia, MO · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL ...

New

3B Staffing LLC

Data Engineer/BA

Kansas City, MO · Remote

$111K - $134K/yr

Citizen Vacation/Remote working = not permissible Laptops are to be secured at all times, no travel allowed with laptop Must be ready at all times to have camera ON while working MUST have a quiet ...

New

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Showing results 21-40

All JobsSnowflake JobsRemote Snowflake JobsRemote Snowflake Jobs in Missouri

Remote Snowflake information

See Missouri salary details

$33

$63

$79

How much do remote snowflake jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote snowflake in Missouri is $63.41, according to ZipRecruiter salary data. Most workers in this role earn between $56.15 and $71.92 per hour, depending on experience, location, and employer.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

What are the key skills and qualifications needed to thrive in the remote Snowflake position?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work-from-home policy?

Remote Snowflake positions typically offer a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

What are the most commonly searched types of Snowflake jobs in Missouri?

The most popular types of Snowflake jobs in Missouri are:

What are popular job titles related to Remote Snowflake jobs in Missouri?

For Remote Snowflake jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Snowflake jobs in Missouri look for?

The top searched job categories for Remote Snowflake jobs in Missouri are:

What cities in Missouri are hiring for Remote Snowflake jobs?

Cities in Missouri with the most Remote Snowflake job openings:

Remote Snowflake jobs near you
Infographic showing various Remote Snowflake job openings in Missouri as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $131,903 per year, or $63.4 per hour.

Sr. Healthcare Data Scientist (Medicare/Medicaid)

Jobgether

On-site, Remote

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 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 Sr. Healthcare Data Scientist (Medicare/Medicaid) based in Netherlands.

This role offers the opportunity to apply advanced data science and AI to some of the most complex challenges in healthcare program integrity.
You will analyze large-scale Medicare and Medicaid claims data to uncover patterns associated with fraud, waste, and abuse.
The position combines statistical modeling, machine learning, generative AI, and agent-based technologies to create innovative analytical solutions.
You will work with modern tools including LLMs, embeddings, vector databases, and retrieval-augmented pipelines.
Your insights will support better decision-making, operational efficiency, and stronger outcomes across healthcare programs.
The environment is collaborative and mission-driven, with opportunities to translate sophisticated technical work into clear recommendations for diverse audiences.
This is an ideal opportunity for a curious, hands-on data scientist who wants to make meaningful impact through healthcare analytics and emerging AI technologies.

Accountabilities
  • Analyze Medicare and Medicaid claims data using statistical methods, machine learning, and advanced analytical techniques to identify trends, anomalies, and potential fraud, waste, and abuse.
  • Develop generative AI-powered solutions and agent-based systems to strengthen fraud detection, investigate complex patterns, and improve business processes.
  • Build predictive, anomaly detection, and other analytical models that improve program integrity, operational efficiency, and actionable insights.
  • Identify opportunities to apply large-scale CMS data with modern AI and machine learning approaches, including LLMs, embeddings, vector databases, and retrieval-augmented generation pipelines.
  • Apply sound data science practices including feature engineering, attribute selection, threshold setting, model validation, and train/test methodologies.
  • Create clear and effective data visualizations that communicate complex findings and emerging trends.
  • Present analytical results and recommendations to both technical and non-technical stakeholders, including senior leadership.
  • Contribute to additional analytical, data science, and AI initiatives as required.
Requirements
  • Bachelor's degree in an analytical or technical discipline such as Statistics, Computer Engineering, Applied Mathematics, Data Science, or a related field, or equivalent relevant experience.
  • At least 5 years of professional experience in data science, including experience developing and applying advanced analytical models.
  • At least 2 years of hands-on experience analyzing Medicare and/or Medicaid data, with a strong understanding of healthcare claims and program data.
  • Proficiency in Python or R for data science and machine learning, with experience using tools such as Pandas, NumPy, TensorFlow, Scikit-learn, Seaborn, ggplot, or Matplotlib.
  • Working knowledge of SQL and modern data platforms and technologies such as Databricks, Snowflake, and Spark.
  • Hands-on experience with generative AI technologies and frameworks, such as LangChain, LangGraph, Hugging Face Transformers, vector databases, agent frameworks, or LLM orchestration tools.
  • Strong understanding of statistics, machine learning fundamentals, predictive modeling, feature engineering, and model evaluation principles.
  • Ability to lead analytical work independently while collaborating effectively across technical and business teams.
  • Strong visualization, communication, and storytelling skills, with the ability to simplify complex data and AI concepts for varied audiences.
  • A proactive, curious, self-directed mindset combined with strong problem-solving skills and a practical approach to applying emerging technologies.
Benefits
  • Estimated annual salary range of $97,968-$132,250, with actual compensation determined by experience, geographic location, and applicable contractual requirements.
  • Fully remote work environment with a standard 40-hour work week.
  • Limited travel, generally less than 10%.
  • Multiple medical plan options, including plans with Health Savings Accounts.
  • Dental and vision insurance options.
  • 401(k) retirement savings plan with company matching and pre- and post-tax contribution options.
  • Flexible work arrangements where applicable to support work-life balance.
  • Paid vacation, sick, personal, and holiday time, with typically 15 days of paid leave plus 10 paid holidays for new employees, subject to applicable policies and proration.
  • Paid parental, military, bereavement, and jury-duty leave.
  • Up to 160 hours of paid family leave during a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage, life insurance, accidental death and dismemberment coverage, and additional accident and critical illness benefits.
  • Opportunities to work with modern AI, cloud, data, and analytics technologies on impactful healthcare initiatives.
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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