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Python Data Jobs in Louisiana (NOW HIRING)

Associate Data Engineer

Iowa, LA · On-site

$101K - $121K/yr

* Develop and maintain data pipelines, data integrations, and analytical datasets supporting ... Exposure to Python or another programming language through coursework, internships, personal ...

New

Python Tutor

New Orleans, LA · 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 ...

Python Tutor

Baton Rouge, LA · 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 ...

AWS Python Developer

Lafayette, LA · On-site

$48 - $66.25/hr

Experience developing, testing, troubleshooting, and implementing enterprise applications or data ... Python * SQL What you can expect from us: Together, as owners, let's turn meaningful insights into ...

AWS Python Developer

Lafayette, LA · On-site

$48 - $66.25/hr

Find similar career opportunities AWS Python Developer Category: Software Development/ Engineering ... data and using cookies - Learn more. Position Description: We are seeking a highly skilled and ...

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

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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:

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.

Associate Data Engineer

Iowa, LA • On-site

$101K - $121K/yr

Other

Posted 2 days ago

New


Job description


  • Develop and maintain data pipelines, data integrations, and analytical datasets supporting actuarial, underwriting, claims, and business analytics.

  • Partner with actuaries, analysts, and business stakeholders to understand data requirements and deliver reliable data solutions.

  • Support Tableau, Power BI, and other reporting and analytics platforms by preparing and validating data assets and creating dashboards for management.

  • Assist with data quality monitoring, validation, reconciliation, and documentation.

  • Participate in developing data products that enable self-service analytics and reporting.

  • Work with technology teams to support cloud-based data platforms and integration processes.

  • Contribute to automation and process improvement initiatives that increase efficiency and data reliability.

  • Follow data engineering standards, development practices, and governance requirements.

  • Continuously learn and apply new data engineering and analytics technologies, tools, and techniques.


Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, Statistics, Actuarial Science, or a related field

  • 0 to 3 years of professional experience in data engineering, analytics, software development, data integration, or a related technical field

  • Foundational knowledge of SQL and relational database concepts

  • Exposure to Python or another programming language through coursework, internships, personal projects, or professional experience

  • Strong analytical, critical thinking, and problem-solving skills

  • Excellent written and verbal communication skills

  • Demonstrated ability to learn new technologies and work collaboratively in a team environment

  • Internship, co-op, research, or project experience involving data engineering, data analytics, reporting, or software development preferred

  • Familiarity with Tableau, Power BI, or similar reporting and visualization tools preferred

  • Exposure to cloud technologies such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS, or similar platforms preferred

  • Experience working with large datasets and data transformation processes preferred

  • Interest in insurance, actuarial analytics, business intelligence, or advanced analytics preferred

  • Exposure to AI-assisted development tools, automation technologies, or machine learning concepts preferred


Core Competencies

Proficient in developing and maintaining data pipelines and integrations, with a strong foundation in SQL and data analytics tools such as Tableau and Power BI. Capable of collaborating with cross-functional teams to deliver reliable data solutions and support cloud-based data platforms.


Highest-signal resume keywords

  • Data Pipeline Development

  • SQL Proficiency

  • Tableau Reporting

  • Cloud Technologies Exposure

  • Data Quality Monitoring


Hard Skills

  • SQL

  • Python

  • Data Integration

  • Data Analytics

  • Data Transformation

  • Data Engineering

  • Analytical Datasets

  • Automation Technologies

  • Machine Learning Concepts

  • Statistical Analysis


Soft Skills

  • Analytical Skills

  • Critical Thinking

  • Problem-Solving

  • Communication Skills

  • Team Collaboration


Industry Keywords

  • Actuarial Analytics

  • Business Intelligence

  • Insurance

  • Data Governance

  • Self-Service Analytics


Tools & Technologies

  • Tableau

  • Power BI

  • Snowflake

  • Databricks

  • Microsoft Fabric

  • Azure

  • AWS

  • Data Visualization Tools

  • AI-Assisted Development Tools

  • Reporting Platforms

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