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Remote Analytics Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$88K - $106K/yr

... analytics, collaborating with engineering and business teams in a fast-moving technology ... Fully remote working opportunity across eligible locations. * Flexible working environment designed ...

Jobgether

Working at the intersection of data science, analytics engineering, and product strategy, you will ... Fully remote work environment with flexibility and opportunities to collaborate with international ...

Jobgether

$81K - $111K/yr

Partner with engineering, product, analytics, and business stakeholders to align technical ... Remote-friendly working environment with flexibility to work from locations where you perform best.

New

Olsson

Geotechnical Engineer - Remote

Kansas City, MO · On-site +1

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... Must be a registered professional engineer * 4+ years of related Geotechnical analysis and design ...

Jobgether

Experience in operations, project management, business analysis, engineering, or a related field is a plus. Benefits: * Fully remote work environment with flexibility to work from anywhere. * ...

Jobgether

Join a collaborative engineering team building innovative fintech solutions designed for ... with remote teams. * Strong analytical, troubleshooting, and problem-solving skills. * Excellent ...

Jobgether

$66K - $83K/yr

You will work closely with supply, product, and engineering teams to improve decision-making across ... Flexible remote working options within compatible time zones. * Opportunity to work in a fast ...

New

W3Global Inc.

Electrical Engineer

Kansas City, MO · On-site +1

$120K - $150K/yr

Electrical Engineer (PE) - Fully Remote We are seeking a licensed Professional Electrical Engineer ... Perform engineering calculations and technical analyses using standard engineering principles.

Jobgether

$81K - $111K/yr

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 ...

Jobgether

... finance, engineering, and operations, requiring both analytical depth and strong commercial ... Working in a global, remote, and asynchronous environment, you will collaborate with cross ...

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All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in Missouri

Remote Analytics Engineer information

See Missouri salary details

$42.7K

$87.4K

$127.1K

How much do remote analytics engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote analytics engineer in Missouri is $87,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $110,700.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the most commonly searched types of Analytics Engineer jobs in Missouri? The most popular types of Analytics Engineer jobs in Missouri are:
What are popular job titles related to Remote Analytics Engineer jobs in Missouri? For Remote Analytics Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Missouri look for? The top searched job categories for Remote Analytics Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Analytics Engineer jobs? Cities in Missouri with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in Missouri as of July 2026, with employment types broken down into 100% Full Time. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $87,402 per year, or $42 per hour.

Data Engineer

Jobgether

Remote

$88K - $106K/yr

Full-time

Re-posted 24 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 based in Netherlands.

This role offers the opportunity to build and optimize a modern data platform that powers marketing intelligence, customer insights, and revenue growth across global products. As a Data Engineer, you will design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value. You will work across the full data lifecycle, from ingestion and transformation to activation and analytics, collaborating with engineering and business teams in a fast-moving technology environment. The position combines hands-on technical challenges with opportunities to influence architecture, data quality, and automation practices. You will use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions at scale.

Accountabilities:
  • Build and maintain robust data ingestion pipelines from various sources, including REST APIs, SFTP, and database replication systems into cloud data platforms.
  • Develop and optimize data transformation workflows using dbt, following structured bronze, silver, and gold layer modeling practices.
  • Design and maintain data models supporting identity resolution, customer segmentation, attribution, and marketing activation use cases.
  • Build integrations with external marketing platforms and services, enabling data synchronization, campaign delivery, and feedback collection.
  • Develop and manage AWS Lambda functions, Airflow workflows, and orchestration processes to ensure reliable data operations.
  • Implement data quality checks, monitoring, alerting, and validation frameworks to maintain accuracy and trust in business-critical datasets.
  • Manage cloud infrastructure and data platform components using infrastructure-as-code practices with Terraform.
  • Investigate and resolve data incidents, including pipeline failures, quality issues, and sensitive data exposure risks.
  • Contribute to continuous improvement of engineering practices, automation, documentation, and scalable data architecture.
Requirements
  • 4+ years of professional experience designing, developing, and deploying production-grade data pipelines using Python.
  • Strong expertise in SQL development, including complex queries, optimization techniques, and performance tuning in cloud data environments.
  • Hands-on experience with Snowflake, including data loading, external stages, security controls, warehouses, and optimization practices.
  • Strong experience with dbt Core for data transformation, testing, incremental models, and analytics engineering workflows.
  • Solid understanding of data warehouse design principles, including dimensional modeling, star and snowflake schemas, facts, dimensions, and slowly changing dimensions.
  • Experience designing conceptual, logical, and physical data models.
  • Proven experience building and operating ETL/ELT pipelines using Airflow or similar orchestration tools.
  • Familiarity with modern AI-assisted development workflows and daily use of AI coding tools for development, debugging, and code review.
  • Knowledge of AWS services such as S3, Lambda, IAM, and EventBridge, along with Terraform and CI/CD practices.
  • Experience with Git, Docker, data quality frameworks, and data lineage practices is highly valued.
  • Strong problem-solving skills, attention to detail, and ability to work effectively in a remote, collaborative engineering environment.
  • Experience with streaming technologies, marketing platform integrations, or iGaming-related products is considered a plus.
Benefits
  • Opportunity to work on scalable, high-impact products within a growing technology environment.
  • Fully remote working opportunity across eligible locations.
  • Flexible working environment designed to support autonomy and work-life balance.
  • Competitive salary package with performance-based incentives.
  • Exposure to modern cloud technologies, data architecture patterns, and AI-powered engineering workflows.
  • Collaborative and supportive team culture with opportunities for professional growth and technical development.
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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