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Remote Python Programmer 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 ... Python or Scala code for complex transformations and data processing Support Power BI and analytics ...

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 ... Python or Scala code for complex transformations and data processing • Support Power BI and ...

This is a remote position, which requires regular travel to client sites Monday - Friday. We ... Strong knowledge of one or more programming languages such as JAVA, C++, C, C#, Objective-C, Python ...

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... into Data Engineering. What the client is really looking for: * Advanced SQL + Python (core ...

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... into Data Engineering. What the client is really looking for: * Advanced SQL + Python (core ...

AI Automation Engineer -Remote

Saint Louis, MO · On-site +1

$202K - $234K/yr

... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

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Remote Python Programmer information

See Missouri salary details

$38

$63

$77

How much do remote python programmer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote python programmer in Missouri is $63.88, according to ZipRecruiter salary data. Most workers in this role earn between $58.61 and $67.64 per hour, depending on experience, location, and employer.

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

Remote Python programmers often encounter challenges such as maintaining clear communication with team members across different time zones, managing self-discipline while working independently, and ensuring effective collaboration on codebases. To address these issues, it's important to proactively participate in virtual meetings, use collaborative tools like version control systems (e.g., Git), and establish a structured daily routine. Staying engaged with team chat channels and leveraging project management platforms also helps facilitate smooth workflow and keeps everyone aligned.

What are remote Python programmers?

Remote Python programmers are software developers who specialize in the Python programming language and work from locations outside of a traditional office environment. They design, build, and maintain applications, scripts, or systems using Python, collaborating with teams and clients through online tools. This role typically requires strong problem-solving skills, familiarity with remote work tools, and the ability to communicate effectively in a distributed team setting.

What are the key skills and qualifications needed to thrive as a Remote Python Programmer, and why are they important?

To thrive as a Remote Python Programmer, you need strong proficiency in Python programming, problem-solving abilities, and a background in computer science or related fields. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and frameworks like Django or Flask is typically required. Excellent communication, self-motivation, and time-management skills are essential for effective remote collaboration. These skills ensure you can deliver high-quality code independently, work efficiently across distributed teams, and adapt to evolving project requirements.

What is the difference between Remote Python Programmer vs Remote Data Analyst?

AspectRemote Python ProgrammerRemote Data Analyst
Required SkillsPython, programming, scripting, APIsData analysis, SQL, Excel, visualization
CertificationsPython certifications, coding bootcampsData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, healthcare, consulting
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, reporting, data-driven decision making

While both roles often work remotely and require analytical skills, Remote Python Programmers focus on coding and software development using Python, whereas Remote Data Analysts specialize in interpreting data and creating reports. The choice depends on whether you prefer programming and building applications or analyzing data to inform business decisions.

What are the most commonly searched types of Python Programmer jobs in Missouri? The most popular types of Python Programmer jobs in Missouri are:
What job categories do people searching Remote Python Programmer jobs in Missouri look for? The top searched job categories for Remote Python Programmer jobs in Missouri are:
Data Engineer

Data Engineer

nimble

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Other

Posted 28 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