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Remote Python Jobs in Saint Louis, MO (NOW HIRING)

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 ...

... Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA/BS in GIS ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...

Java Developer (Remote)

Shiloh, IL · Remote

$52.25 - $67.50/hr

Use scripting languages, including Python and Bash, to automate operational and deployment tasks. * Troubleshoot complex backend issues across application logic, integrations, data stores, and cloud ...

Remote Salary: $75.00-$85.00/Hourly Role: GCP Cloud Developer/SME Primary Skills: Google Cloud ... Python, Bash, and PowerShell. Education: Bachelor's degree Experience: Minimum 5-8 years of ...

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 ... Expert-level proficiency in Spark Scala, Python, and PySpark. In-depth knowledge of data ...

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Remote Python information

See Saint Louis, MO salary details

$12

$56

$83

How much do remote python jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote python in Saint Louis, MO is $56.99, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.76 per hour, depending on experience, location, and employer.

What are Remote Python jobs?

Remote Python jobs are positions where you work primarily with the Python programming language but do so from a location outside of a traditional office, such as your home or another remote location. These jobs can include roles like software developer, data analyst, backend engineer, or machine learning engineer, all of which use Python for building applications, analyzing data, or automating tasks. Remote Python jobs are popular due to Python's versatility and the growing demand for flexible work arrangements in the tech industry.

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

To thrive as a Remote Python Developer, you need strong programming skills in Python, experience with software development life cycles, and a relevant degree or professional experience. Familiarity with tools like Git, Docker, cloud platforms (e.g., AWS), and frameworks such as Django or Flask is typically required, along with knowledge of remote collaboration tools like Slack and Jira. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote team integration and project delivery. These skills ensure efficient, high-quality code development, seamless teamwork, and the ability to meet project goals independently in a remote environment.

What Are Remote Jobs That Use Python?

Remote jobs that use Python focus on coding software and applications to meet the needs or business objectives of your employer. This may involve working with a database, customizing an existing application, or otherwise modifying software based on its expected environment. You can also find a few remote roles that allow you to teach Python instead of using it. Many remote jobs that use Python also involve coding in other common languages as necessary—Python may be the bulk of the work, but the ability to switch to other modes of programming as needed is essential for success in this field. As a remote employee or independent contractor, you may use virtual office software to coordinate with others, upload software into a central database for testing, or work odd hours to meet the needs of your client.

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

AspectRemote PythonRemote Data Analyst
Required SkillsPython programming, scripting, libraries (e.g., Pandas, NumPy)Data analysis, SQL, Excel, visualization tools
CertificationsPython certifications, data science coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, marketing, consulting firms
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, market research, reporting

Remote Python roles focus on coding, automation, and software development using Python, while Remote Data Analysts analyze data sets to generate insights. Both roles often work remotely and require analytical skills, but their core responsibilities and tools differ significantly.

How do Remote Python Developers typically collaborate and communicate with their teams?

Remote Python Developers often work closely with distributed teams using collaboration tools like Slack, Zoom, and GitHub. Clear communication and regular check-ins are essential for syncing on project requirements, code reviews, and troubleshooting. Developers are encouraged to document their code thoroughly and proactively update their progress to ensure smooth workflow across different time zones. This environment fosters independence and strong written communication skills, while also providing opportunities to participate in virtual standups, sprint planning, and peer programming sessions.
What are the most commonly searched types of Python jobs in Saint Louis, MO? The most popular types of Python jobs in Saint Louis, MO are:
What are popular job titles related to Remote Python jobs in Saint Louis, MO? For Remote Python jobs in Saint Louis, MO, the most frequently searched job titles are:
What job categories do people searching Remote Python jobs in Saint Louis, MO look for? The top searched job categories for Remote Python jobs in Saint Louis, MO are:
What cities near Saint Louis, MO are hiring for Remote Python jobs? Cities near Saint Louis, MO with the most Remote Python job openings:
Data Engineer

Data Engineer

Nimble Solutions

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Full-time

Posted 16 days ago


Job description

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 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