1

Python Data Developer Jobs in Missouri (NOW HIRING)

GenAI Python Systems Engineer-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

GenAI Python Systems Engineer-Manager

Kansas City, MO · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Staff Data Scientist

California, MO · On-site

$120 - $180/hr

Experience using various programming languages and tools for data science and data engineering; e.g., Python, SQL, Neo4j, Tableau, AWS, etc. * Experience developing, deploying, and maintaining ...

$88K - $106K/yr

The role combines hands-on Python development, data transformation, database engineering, and workflow orchestration. You'll collaborate closely with analysts, engineers, and cross-functional teams ...

GenAI Python Systems Engineer -Senior Manager

Kansas City, MO · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

GenAI Python Systems Engineer -Senior Manager

Saint Louis, MO · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Responsibilities * help clients find answers in their data * oversee development and deployment of ... Experience with programming languages, including Python, R, or SQL * Experience working in Foundry

New

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

Skilled in SQL and familiarity with Python, Spark, or other scripting languages for data ... Exposure to DevOps principles, CI/CD pipelines, and version control * Familiarity with Agile or ...

$88K - $106K/yr

Our partner is looking for a Data Engineer, Sr. based in Netherlands. Join a high-impact ... Develop Python scripts and database procedures to automate data processing, transformation ...

Data Engineer

Saint Peters, MO

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Description We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of ... Experience with C# or Python preferred * 2+ years of experience with Business Intelligence (BI ...

Showing results 21-40

Python Data Developer information

What is a Python data developer?

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 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 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:

Data Engineer/Data Analyst

Advantage Tech

Kansas City, MO

Full-time

Posted 15 days ago


Job description

Data Engineer/Analyst


Position Summary

The Data Engineer/Data Analyst is responsible for designing, building and maintaining our cloud-based data ecosystem while also delivering high‑value analytics, reporting, and business insights. You’ll work across the full data lifecycle — from engineering and modeling to visualization and strategic analysis — ensuring the organization has reliable, scalable, and actionable data.

KEY RESPONSIBILITIES

Data Engineering & Architecture (Primary Responsibility)

  • Design, provision, and configure cloud data warehouse and storage environments (e.g., Azure Synapse, Data Lake, Fabric).
  • Develop, test, and maintain scalable ETL/ELT pipelines using SQL, Azure Data Factory, Python, or similar tools.
  • Architect and implement dimensional models, data marts, and data cubes to support analytics and reporting needs.
  • Ensure data quality, reliability, and performance across all pipelines and data structures.
  • Create clear, comprehensive documentation for data systems, pipelines, and processes.

Analytics, Reporting & Business Insights (Secondary Focus)

  • Build and maintain impactful dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
  • Partner with business stakeholders to understand analytical needs and translate them into technical solutions.

Cross‑Functional Collaboration & Strategy

  • Work closely with the team to ensure alignment on architecture, governance, and best practices.
  • Support the evolution of the organization’s data strategy by identifying opportunities for automation, optimization, and improved insight delivery.
  • Contribute to the long‑term vision of a scalable, modern data ecosystem that empowers business users.

QUALIFICATIONS

Knowledge, Skills and Abilities

Required:

  • Expert SQL Skills: Mastery of SQL for complex querying, performance tuning, and data manipulation.
  • Cloud Experience: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) in relation to data services.
  • Programming: Strong proficiency in Python for data manipulation and pipeline development.
  • Data Visualization: Experience building reports and dashboards with a major BI tool (e.g., Tableau, Looker, Power BI).
  • Strong organizational, planning, and problem-solving skills
  • Proven ability to manage deadlines and priorities in a fast-paced environment
  • Excellent written and verbal communication skills
  • Familiarity with ERP systems (Epicor P21 preferred), WMS, or operational reporting tools
  • Execution-focused with strong follow-through
  • Detail-oriented while able to see the bigger picture
  • Results-driven mindset aligned with business outcomes

Nice-to-Have Skill:

  • AI/ML Familiarity: Understanding of data preparation for Artificial Intelligence (AI) and Machine Learning (ML) models and experience with related data tools.

Education and Experience

  • Technical Proficiency: 3+ years of professional experience in data engineering, ETL development, and data modeling.
  • Experience with specific tools mentioned (Azure Data Factory, Power BI, etc.).
  • Experience in Business Analysis or formal requirements gathering.
  • Bachelor’s degree in business, Information Systems, Computer Science or related field preferred
  • Experience managing cross-functional initiatives with multiple stakeholders a plus
  • Experience in industrial distribution, manufacturing, or supply chain environments preferred
  • Experience supporting process improvement or operational transformation initiatives

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer.