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Python Data Jobs in Louisiana (NOW HIRING)

WM B REILY & COMPANY INC

Database Architect

New Orleans, LA

$58.75 - $75.50/hr

The ideal candidate will possess deep expertise in SQL, Python, modern cloud data platforms, and enterprise ERP ecosystems such as Microsoft Dynamics 365 Finance & Operations or similar ERP solutions.

Capital City Press

Data Reporter

New Orleans, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

Capital City Press

Data Reporter

Shreveport, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

Capital City Press

Data Reporter

Baton Rouge, LA · On-site

We are looking for someone with: -Prior professional journalism experience -The ability to use tools such as Python, SQL or R to scrape, clean and analyze data -Familiarity with using GIS and mapping ...

GDIT

TSS Data Analyst Senior

Bossier City, LA · Hybrid

$85K - $107K/yr

Experience with Python * Experience with leading/managing and mentoring a small team of Data Analysts in support of development initiatives * Strong Excel background; familiarity with other Microsoft ...

Circle

Sr. Data Scientist, Payments

Iowa, LA · On-site

$152K - $205K/yr

Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and model. * Strong understanding of statistics and experience applying statistical ...

Circle

$152K - $205K/yr

Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and model. * Strong understanding of statistics and experience applying statistical ...

Reily Foods Company

Database Architect

New Orleans, LA · On-site

$61.25 - $78.75/hr

... processes using Python and modern cloud-based data platforms. • Lead development efforts utilizing platforms such as Microsoft Fabric, Databricks, or similar enterprise data engineering ...

Varsity Tutors

Data Science Tutor

Baton Rouge, LA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

New Orleans, LA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsPython Data JobsPython Data Jobs in Louisiana

Python Data information

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

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 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 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.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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 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

Database Architect

WM B REILY & COMPANY INC

New Orleans, LA

$58.75 - $75.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Reily Foods Company has a passion for flavor and has been providing iconic foods and beverages that create meals and memories for over 120 years! Our products consist of New England Coffee, French Market Coffee, Luzianne Iced Tea, Blue Plate Mayonnaise, Swans Down Cake Flour, Tiger Sauce, and Carroll Shelby Chili (to name a few) and can be found in foodservice and retail locations around the country.

Reily Foods Company is seeking an experienced and highly technical Database Architect to lead the design, development, optimization, and long-term strategy of enterprise data platforms and integrations.  This role will be responsible for architecting scalable database solutions that support ERP, analytics, reporting, integrations, and operational business processes across the organization.

The ideal candidate will possess deep expertise in SQL, Python, modern cloud data platforms, and enterprise ERP ecosystems such as Microsoft Dynamics 365 Finance & Operations or similar ERP solutions.  This individual must be comfortable partnering with both functional business users and technical teams to translate operational requirements into scalable, maintainable, and high-performing data solutions.

This role will play a critical part in advancing enterprise reporting, analytics, automation, and data warehouse modernization initiatives.

Travel: 25% (1 week on-site in New Orleans/month)Key Responsibilities:

  • Architect, design, and maintain enterprise database environments, data warehouses, and data integration frameworks.
  • Develop and optimize complex SQL queries, stored procedures, views, functions, and performance tuning strategies.
  • Design and implement scalable ETL/ELT processes using Python and modern cloud-based data platforms.
  • Lead development efforts utilizing platforms such as Microsoft Fabric, Databricks, or similar enterprise data engineering technologies.
  • Partner closely with ERP teams to support integrations, reporting, analytics, and operational data requirements.
  • Work collaboratively with stakeholders to understand reporting and operational needs and translate them into technical solutions.
  • Support data architecture and integration efforts related to ERP platforms including Microsoft Dynamics 365 Finance & Operations or similar enterprise ERP systems.
  • Support environment management, deployments, and release coordination activities within Microsoft Dynamics Lifecycle Services and Microsoft Power Platform Admin Center environments related to ERP and application ecosystems.
  • Establish and maintain database standards, governance practices, naming conventions, security protocols, and documentation.
  • Monitor database performance, troubleshoot issues, and proactively identify optimization opportunities.
  • Collaborate with development teams, infrastructure teams, analysts, and external vendors on cross-functional projects.
  • Provide technical mentorship and guidance to developers, analysts, and support personnel.
  • Participate in architecture reviews, planning, and long-term data strategy initiatives led by leadership.
  • Support label/report development and document generation solutions as needed (experience with label development platforms is a plus).

We offer a comprehensive and thoughtfully designed benefits package that supports the well-being, financial security, and work-life balance of our employees.

  • 10 Paid Company Holidays
  • Generous Paid Vacation & Sick Time
  • Comprehensive, Affordable Medical, Dental & Vision Coverage for you and your family
  • Health Savings Account (HSA) with company contributions
  • Flexible Spending Accounts (FSA) & Dependent Care FSA (DCFSA)
  • 401(k) Retirement Plan with company match and discretionary profit sharing
  • Employee Assistance Program (EAP) and financial wellness resources
  • CompanyPaid Disability
  • CompanyPaid Life Insurance equal to 3× annual compensation
  • And more benefits designed to support your health, wealth, and wellbeing

Together, these benefits reflect our commitment to caring for our employees both inside and outside the workplace.

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field preferred; equivalent hands-on experience will be considered.
  • 10+ years of experience in database architecture, database administration, enterprise data engineering, or related technical roles.
  • Advanced expertise in SQL development, query optimization, indexing strategies, and relational database design.
  • Strong Python development experience focused on data engineering, automation, integrations, and analytics workflows.
  • Hands-on experience with cloud data platforms such as Microsoft Fabric, Databricks, or comparable enterprise data engineering technologies.
  • Experience supporting enterprise ERP systems, preferably Microsoft Dynamics 365 Finance & Operations or similar ERP platforms (SAP, Oracle, etc.).
  • Experience supporting deployments, environment management, and administrative functions within Microsoft Dynamics Lifecycle Services and/or Microsoft Power Platform Admin Center.
  • Strong understanding of data warehousing concepts, dimensional modeling, and enterprise integration patterns.
  • Experience working collaboratively with both technical teams and functional business users.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication, documentation, and stakeholder management skills.

Preferred Qualifications:

  • Manufacturing industry experience strongly preferred.
  • Experience within food and beverage manufacturing or distribution environments is a plus.
  • Experience with Azure data services and cloud architecture.
  • Familiarity with Power BI or enterprise analytics/reporting platforms.
  • Experience with API integrations, EDI, or middleware solutions.
  • Knowledge of DevOps, CI/CD pipelines, and source control practices.
  • Experience with label development or enterprise labeling platforms is a plus.
  • Exposure to machine learning, predictive analytics, or advanced data science workflows is a plus.

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