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Python Data Jobs in Louisiana (NOW HIRING)

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Python * DAX * Microsoft Dynamics D365 (preferred) * Azure DevOps (or similar CI/CD tools) * Git version control * Advanced SQL (T-SQL) * Excel (advanced data manipulation) * Development tools such ...

3MK Software Solutions

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

The Data Engineer will implement data-oriented solutions to support cloud-based software ... A minimum of 2 years of experience using Scripting (Python, Perl, Shell, etc) is required A minimum ...

CGI Inc.

Data Engineer

Lafayette, LA · On-site

$109K - $131K/yr

Data Engineer Category: Business Consulting, Strategy and Digital Transformation Main location ... Python or Java experience supporting validation utilities, pipeline tooling, and engineering ...

Daikin Applied Americas Inc

Data Engineer III

Iowa, LA · On-site

$90 - $153.30/hr

Proficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programs * Proficiency in Power BI Desktop and Power BI Cloud Services or equivalent business ...

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Strong proficiency in SQL, Python, or R * Experience building automation tools or analytical frameworks * Experience with modern data warehousing and ETL tools * Strong problem-solving skills and ...

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Python Data information

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

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

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What are popular job titles related to Python Data jobs in Louisiana?

For Python Data jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Python Data jobs in Louisiana look for?

The top searched job categories for Python Data jobs in Louisiana are:

Python Data jobs near you
Infographic showing various Python Data job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Systems Engineer

PVI Holdings

Baton Rouge, LA • On-site

$109K - $132K/yr

Full-time

Re-posted 18 days ago

Job description

Position Summary
We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.
The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.
Key Responsibilities
  • Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
  • Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
  • Build and maintain data pipelines and ETL/ELT processes
  • Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
  • Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
  • Deliver project objectives on time, within scope, and with a high level of quality
  • Contribute to data governance, standards, and best practices

Experience & Education
  • Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
  • 5+ years of experience writing complex SQL queries and working with data models
  • 2+ years of experience developing and maintaining ETL/ELT processes
  • Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions

Technical Skills & Tools
  • Microsoft Fabric, Azure Data Services, Databricks
  • Power BI and Power Platform
  • Python
  • DAX
  • Microsoft Dynamics D365 (preferred)
  • Azure DevOps (or similar CI/CD tools)
  • Git version control
  • Advanced SQL (T-SQL)
  • Excel (advanced data manipulation)
  • Development tools such as VS Code and SQL Server Management Studio

Core Competencies
  • Ability to manage multiple concurrent projects and priorities in a fast-paced environment
  • Strong problem-solving and analytical skills
  • Excellent communication skills with the ability to translate technical concepts for business stakeholders
  • High attention to detail and commitment to data quality

Additional Requirements
  • Ability to travel as needed
  • Valid driver's license with a clear driving record
  • Successful completion of background check and drug/alcohol screening

Apply