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Tableau Developer Remote Jobs in Missouri (NOW HIRING)

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

NET Developers work with a team of talented individuals who share a strong passion for their work. The primary role of this experienced individual will be to develop software solutions through the ...

Data Engineer Manager

Saint Louis, MO · On-site +1

$111K - $133K/yr

... DevOps team on the development of KPIs to elevate the availability and usability of the Data Services we provide. Execute strategic and tactical direction for the Cloud Data Engineering team's domain ...

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

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Tableau Developer Remote information

What are some common challenges faced by remote Tableau Developers, and how can they be addressed?

Remote Tableau Developers often encounter challenges such as limited direct communication with stakeholders and difficulties in understanding business requirements without face-to-face interactions. To overcome these, it's crucial to establish regular virtual meetings, use collaborative tools for feedback, and maintain clear documentation throughout the project. Building strong relationships with team members and proactively seeking clarification on project goals can also help ensure successful report development and data visualization delivery.

What does a remote Tableau Developer do?

A remote Tableau Developer designs, develops, and maintains data visualization solutions using Tableau software while working from a remote location. Their responsibilities include connecting to various data sources, creating interactive dashboards and reports, and collaborating with stakeholders to translate business requirements into actionable insights. They also optimize data models, ensure data accuracy, and may provide support and training to end-users to help them make data-driven decisions.

How to Become a Tableau Developer That Is Remote

The primary qualifications for becoming a remote Tableau developer are a bachelor's degree in a relevant field and several years of experience with Tableau products. This is a relatively senior position that requires extensive knowledge of the base Tableau software, so most people spend several years working in an office before they transfer to this remote role. Fulfilling the responsibilities and duties of this job requires communication, research, and programming skills as well as the ability to turn design goals into programming objectives. Tableau developers often work as part of a larger team, so teamwork skills are also essential to success.

What is the difference between Tableau Developer Remote vs Data Analyst Remote?

AspectTableau Developer RemoteData Analyst Remote
Required SkillsProficiency in Tableau, SQL, data visualizationData analysis, Excel, SQL, visualization tools
CertificationsTableau Desktop Specialist, Certified Data AnalystMicrosoft Excel, SQL certifications
Work EnvironmentRemote, project-based, collaborative teamsRemote, cross-functional teams, reporting focus
Industry UsageIT, finance, marketing, consultingBusiness, finance, healthcare, marketing

Tableau Developer Remote and Data Analyst Remote roles often share skills like data visualization and SQL. However, Tableau Developers focus more on creating interactive dashboards and visualizations using Tableau, while Data Analysts perform broader data analysis, reporting, and insights. Both roles are commonly remote and industry-wide, but their core responsibilities differ in scope and tools used.

What are the key skills and qualifications needed to thrive as a Tableau Developer in a remote setting, and why are they important?

To thrive as a Tableau Developer remotely, you need strong data analysis skills, expertise in Tableau Desktop and Server, and a background in computer science, statistics, or related fields. Familiarity with SQL, data warehousing solutions, and certifications like Tableau Desktop Specialist are often required. Excellent problem-solving abilities, self-motivation, and clear communication are vital soft skills for remote collaboration and project delivery. These skills ensure you can independently create effective data visualizations, meet client needs, and contribute to data-driven decision-making, even while working remotely.
What are the most commonly searched types of Tableau Developer jobs in Missouri? The most popular types of Tableau Developer jobs in Missouri are:
What are popular job titles related to Tableau Developer Remote jobs in Missouri? For Tableau Developer Remote jobs in Missouri, the most frequently searched job titles are:
Infographic showing various Tableau Developer Remote job openings in Missouri as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Data Engineer

Data Engineer

nimble

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Other

Re-posted 20 days ago


Job description

Description


Data Engineer

Chesterfield Office Hybrid or Remote


Why You'll Want to Join! 


Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.


Position Overview


Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data-claims, EMR/EHR, HL7/FHIR-into actionable insights that drive revenue cycle optimization and clinical outcomes.


Why This Role Matters


Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.


Key Responsibilities


Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake

Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards

Write and optimize SQL queries for performance across large healthcare datasets

Implement data governance, quality frameworks, and HIPAA compliance controls

Collaborate with analytics, data science, and business teams to define data requirements

Monitor and troubleshoot data pipeline health and performance

Develop Python or Scala code for complex transformations and data processing

Support Power BI and analytics teams with data modeling and performance optimization

Document data lineage, transformations, and technical architecture

Requirements


3+ years of professional data engineering or ETL/ELT development experience

Expert-level SQL skills with proven optimization experience

Proficiency in Python, Scala, or similar data processing languages

Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)

Understanding of healthcare data standards (HL7, FHIR, claims data structures)

Strong grasp of data modeling, normalization, and schema design

Experience with data versioning, CI/CD pipelines, and data quality frameworks


Preferred Qualifications


Experience with Microsoft Fabric or Azure Data Factory

Knowledge of HIPAA compliance and healthcare data security

Background in healthcare, RCM, or claims processing

Experience with dbt (data build tool) or equivalent transformation frameworks

Exposure to dimensional modeling and data warehousing best practices


What Success Looks Like


In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics

In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components

Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance