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Python Data Developer Jobs in Missouri (NOW HIRING)

Nimble Solutions

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 ...

Kanak Elite Services Inc

$109K - $130K/yr

... Python * 1+ years Azure (or similar Cloud with AWS, GCP) * Mid level candidate with mid level year ... Don't send Sr Level Developer * Bachelor's degree Desired * IBM Cloud * Datastage * DB2 * watsonX ...

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

... DevOps, DataFactory) * Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing) * Strong hands-on python, pyspark, and SQL skills

Pwc

GenAI Python Systems Engineer-Manager

Kansas City, MO · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Pwc

GenAI Python Systems Engineer-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

My3Tech Inc

Snowflake Data Engineer

Maryland Heights, MO · On-site

$110K - $132K/yr

Senior Data Engineer- Responsibilities: • Design, develop, and optimize scalable data pipelines ... Python, Snowflake, Airflow orchestration and DAG creation, Gitlab source control, Flyway for ...

Omni Inclusive

Data Engineer

Saint Louis, MO

$111K - $133K/yr

Data Engineer Data Engineer - Databases (Oracle, Netezza, SQL Server), Hands-on experience with Hadoop, Python, Impala etc. Roles and Responsibilities: - Work as a member of support team to resolve ...

Jobgether

$3.5K - $4.5K/mo

We are currently looking for a Senior Python Backend Developer (Django/FastAPI) in Netherlands ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Deloitte

Databricks Data Engineer

Kansas City, MO

$111K - $134K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Kaav Inc.

Data Bricks Data engineer

Saint Charles, MO

$107K - $129K/yr

... Python and PySpark. Advanced proficiency writing SQL for analytics and ETL processes. Proven ... Proficient with GitLab and Azure DevOps for CI/CD and source control workflows. Strong analytical ...

Purple Drive

Data Engineer

Saint Louis, MO

$111K - $133K/yr

Deep hands-on expertise with Databricks , Python , PySpark , and Spark SQL . * Strong experience ... Strong DevOps background including: * Databricks Asset Bundles (DABs) * Git/GitHub/Bitbucket

Purple Drive Technologies

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Deep hands-on expertise with Databricks , Python , PySpark , and Spark SQL . * Strong experience ... Strong DevOps background including: * Databricks Asset Bundles (DABs) * Git/GitHub/Bitbucket

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Python Data Developer information

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

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

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.
What are popular job titles related to Python Data Developer jobs in Missouri? For Python Data Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Missouri look for? The top searched job categories for Python Data Developer jobs in Missouri are:
Python Data Developer jobs near you
Data Engineer

Data Engineer

Nimble Solutions

Chesterfield, MO • On-site, Remote

$113K - $136K/yr

Full-time

Posted 26 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

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