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Python Data Developer Jobs in Missouri (NOW HIRING)

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

Senior Python Developer

Fenton, MO · On-site

$116K - $156K/yr

Preferred : • Experience with data engineering tools and ETL processes. • Familiarity with ... Python certifications). Company : ArchKey Solutions is an electrical and technology construction ...

Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing ... Develop scalable programming solutions, and implement data strategies that align with ...

Senior Python Developer

Fenton, MO · On-site

$116K - $156K/yr

Description SR. PYTHON DEVELOPER This position is based out of our St Louis, MO office About ... Ensures adherence to security best practices, data protection regulations, and secures coding ...

Senior Python Developer

Fenton, MO

$116K - $156K/yr

SR. PYTHON DEVELOPER This position is based out of our St Louis, MO office About ArchKey ArchKey is ... Ensures adherence to security best practices, data protection regulations, and secures coding ...

Senior Python Developer

Fenton, MO · On-site

$116K - $156K/yr

Description SR. PYTHON DEVELOPER This position is based out of our S t Louis, MO office About ... Ensures adherence to security best practices, data protection regulations, and secures coding ...

Senior Python Developer

Fenton, MO · On-site

$116K - $156K/yr

SR. PYTHON DEVELOPER This position is based out of our St Louis, MO office About ArchKey ArchKey is ... Ensures adherence to security best practices, data protection regulations, and secures coding ...

Sr Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

... in Python for data processing and automation, SQL for querying and data manipulation. Experience with Java is a plus. DevOps Tools - Familiarity with Terraform or Deployment Manager for ...

Python Tutor

Columbia, MO · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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 ...

Databricks Data Engineer

Wildwood, MO

$107K - $129K/yr

Minimum of 3 years of experience in Databricks, PySpark notebooks, Python, DevOps, software development, and data engineering. * Certified Databricks Data Engineer Associate or Professional is a plus.

Lead Data Engineering

Saint Louis, MO · On-site

$108K - $130K/yr

Engineer with experience in Scala, Python or Java, Big Data+ AWS/Databricks. Needs AI agent knowledge to create agents within the team to automate the processes Core skills: * Data Engineering ...

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue ... Python or Scala code for complex transformations and data processing • Support Power BI and ...

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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:

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted 21 days ago


Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON