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Data Programmer Jobs in Louisiana (NOW HIRING)

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for ...

CGI Inc.

Data Engineer

Lafayette, LA · On-site

$109K - $131K/yr

Data Engineer Category: Business Consulting, Strategy and Digital Transformation Main location: United States, Louisiana, Lafayette Position ID:J0626-0770 Employment Type: Full Time Position ...

Pwc

Data Engineer - Senior Manager

New Orleans, LA · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

3MK Software Solutions

Data Engineer

New Orleans, LA

$110K - $132K/yr

The Data Engineer will implement data-oriented solutions to support cloud-based software development. You will own the technical solutions needed for data ingestion, storage, access, and provisioning ...

Pwc

Data Engineer - Senior Associate

New Orleans, LA

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Manager

New Orleans, LA

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Bespoke Labs

Data Engineer

Baton Rouge, LA · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Lake Charles, LA · On-site

$105K - $126K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Shreveport, LA · On-site

$92K - $111K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kenner, LA · On-site

$93K - $112K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Vantage Bank

Data Quality Engineer

Branch, LA

$94K - $113K/yr

JOB SUMMARY The Data Quality Engineer is a member of the Shared Services' Analytics and Insights team responsible for implementing and maintaining data quality controls across Vantage Bank ...

New

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Analytics The Data Engineer will support the design, development, and implementation of analytical data processes that enable actuarial pricing, reserving, and claims analytics across a Property ...

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All JobsData Programmer JobsData Programmer Jobs in Louisiana

Data Programmer information

See Louisiana salary details

$13

$24

$40

How much do data programmer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data programmer in Louisiana is $24.07, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Programmers?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

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

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

Is 40 too late for data science?

For a data programmer or data scientist, starting a career at 40 is feasible, as many skills such as programming, statistics, and data analysis can be learned at any age. Experience, continuous learning, and building a strong portfolio or certifications like those in Python, R, or SQL are important factors for success in the field.

What do data programmers do?

Data programmers develop, test, and maintain software that processes and manages large datasets. They often use programming languages like Python, SQL, or R and work with databases, data pipelines, and data analysis tools to ensure data is accurate and accessible for decision-making.

How do Data Programmers typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

How to become a data programmer?

To become a data programmer, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong programming skills in languages like Python, SQL, or R. Gaining experience with data manipulation, database management, and relevant tools such as Excel or data visualization software is also important. Certifications in data analysis or programming can enhance job prospects and demonstrate expertise.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), IT Director, and Cloud Architect tend to be among the highest paid, often earning six-figure salaries or more. Specialized roles like Data Scientists, Cybersecurity Managers, and Software Development Managers also command high compensation, especially with advanced skills and certifications in cloud platforms, security, or data analysis.
What are popular job titles related to Data Programmer jobs in Louisiana? For Data Programmer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Data Programmer jobs in Louisiana look for? The top searched job categories for Data Programmer jobs in Louisiana are:
What are popular job titles related to Data Programmer jobs in LA? For Data Programmer jobs in LA, the most frequently searched job titles are:
Data Programmer jobs near you

Data Engineer

THE PRUITT GROUP LLC

New Orleans, LA • On-site

$110K - $132K/yr

Contractor

Posted 19 days ago

Job description

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining data pipelines, integration solutions, and data-centric applications. Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key to optimizing data processing, storage, and analysis.

Responsibilities:

  1. Design and Develop Data Pipelines: Partner with cross-functional teams to gather data requirements and create robust, scalable, and reliable data pipelines using Azure Data Factory and other Microsoft tools, ensuring high data quality.

  2. Data Integration: Consolidate data from diverse sources—including databases, APIs, and third-party platforms—into centralized data lakes or warehouses utilizing Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and related technologies.

  3. Data Transformation: Execute data transformation and cleansing processes to prepare data for analysis, reporting, and business intelligence applications.

  4. Data Modeling: Develop and implement data models and schemas that align with business needs and industry standards, promoting efficient data access for end-users and applications.

  5. Optimization and Performance Tuning: Regularly monitor and fine-tune data pipelines and processing tasks to enhance performance, reduce latency, and ensure accurate, timely data delivery.

  6. Data Security and Compliance: Enforce data security protocols, including encryption and access controls, to protect sensitive information and maintain compliance with data privacy regulations.

  7. Troubleshooting and Issue Resolution: Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold system performance and data accuracy.

  8. Collaboration and Documentation: Collaborate with data scientists, analysts, and other stakeholders to address data needs, while maintaining thorough documentation of pipelines, models, and integration workflows.

  9. Cloud Infrastructure Management: Oversee Azure cloud resources, monitor usage, and apply best practices for cost-effective infrastructure management.

  10. Continuous Learning and Improvement: Keep abreast of the latest Azure Data Factory developments and Microsoft technologies, integrating best practices and innovative solutions to continually enhance data engineering processes.

Requirements:

  1. A Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  2. Demonstrated experience as a Data Engineer with a strong emphasis on Microsoft technologies, especially Azure Data Factory.
  3. Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL Database, Azure Synapse Analytics, and Cosmos DB.
  4. Hands-on experience designing and developing data pipelines using Azure Data Factory or comparable ETL/ELT tools.
  5. Solid understanding of cloud-based data storage and processing solutions within the Microsoft Azure ecosystem.
  6. Knowledge of data warehousing principles and data integration methodologies.
  7. Proficiency in programming languages like Python, C#, or Java for data manipulation and automation purposes.
  8. Familiarity with data security protocols and compliance standards related to data management.
  9. Strong analytical and problem-solving abilities with a keen attention to detail.
  10. Excellent communication and collaboration skills, capable of working effectively within cross-functional teams.
  11. Relevant Microsoft certifications (e.g., Azure Data Engineer Associate) are preferred.
  12. Experience with Microsoft Fabric is a plus but not required.