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Remote Python Developer Google 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 ...

$38.50 - $49.75/hr

Strong programming skills, preferably in Python, with the ability and willingness to build robust ... Fully remote-first working model * Flexible working hours (core hours 10am-3pm local time)

... programming language (R, Python etc.) * Ability to write functions and end-to-end programs * Experience with Data Mining and Machine Learning methodologies * Experience with Google BigQuery Essential ...

Ability to work independently and collaborate effectively in a distributed, remote-first environment. * Nice to have: experience with SQL (MS SQL), basic Python, Google Analytics, Google Tag Manager ...

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 ...

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Remote Python Developer Google information

What does a Remote Python Developer at Google do?

A Remote Python Developer at Google is responsible for designing, developing, and maintaining software applications using the Python programming language. They collaborate with cross-functional teams to create scalable solutions, often focusing on backend services, data analysis, automation, or cloud-based applications. Working remotely, they leverage Google’s cloud infrastructure and tools to solve complex problems and deliver high-quality code. Effective communication, strong coding abilities, and familiarity with Google’s technical ecosystem are key for success in this role.

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

To thrive as a Remote Python Developer at Google, you need strong proficiency in Python programming, software development principles, and a relevant degree or equivalent experience. Familiarity with cloud platforms (like Google Cloud Platform), version control systems (such as Git), and experience with APIs or frameworks is often required. Excellent problem-solving skills, self-motivation, and effective remote communication are vital soft skills for this role. These capabilities ensure you can deliver high-quality, scalable solutions while collaborating efficiently within a distributed team environment.

How does a Remote Python Developer at Google typically collaborate with team members across different time zones?

As a Remote Python Developer at Google, you'll frequently work with colleagues located in various regions, which requires strong communication and organizational skills. Collaboration typically happens through tools like Google Meet, Slack, and shared code repositories, with regular virtual stand-ups and code reviews to ensure alignment. Flexibility in scheduling and proactive updates are key to successful teamwork, and Google encourages a culture of documentation and asynchronous communication to accommodate time zone differences. This structure allows developers to contribute effectively while maintaining a healthy work-life balance.
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Data Engineer

Data Engineer

nimble

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Other

Posted 25 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