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Data Engineer Jobs in Louisiana (NOW HIRING)

Senior Data Engineer

New Orleans, LA · On-site

$101K - $138K/yr

The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprisegrade solutions and architectures, while ensuring scalability, performance, security, and ...

New

Senior Data Engineer

New Orleans, LA · On-site

$101K - $138K/yr

The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise-grade solutions and architectures, while ensuring scalability, performance, security, and ...

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 ...

Software Developer/ Data Engineer

Hammond, LA · On-site

$88K - $105K/yr

... Data Engineer Department Data & Technology Reports to Data & Technology Leader Type Full-time - Exempt Location This is a hybrid position with a home office based in either Hammond, LA or Charlotte ...

Software Developer/ Data Engineer

Hammond, LA · On-site

$88K - $105K/yr

... Data Engineer Department Data & Technology Reports to Data & Technology Leader Type Full-time - Exempt Location This is a hybrid position with a home office based in either Hammond, LA or Charlotte ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Strategy-Manager

New Orleans, LA · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Governance- Manager

New Orleans, LA · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

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 ...

Showing results 21-40

Data Engineer information

See Louisiana salary details

$38.1K

$110.9K

$151.8K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Louisiana is $110,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $117,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Louisiana? The most popular types of Data Engineer jobs in Louisiana are:
What are popular job titles related to Data Engineer jobs in Louisiana? For Data Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Louisiana look for? The top searched job categories for Data Engineer jobs in Louisiana are:
What cities in Louisiana are hiring for Data Engineer jobs? Cities in Louisiana with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in LA? For Data Engineer jobs in LA, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Louisiana as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $110,924 per year, or $53.3 per hour.

Principal Data Engineer

Ochsner Health

New Orleans, LA • On-site

Full-time

Re-posted yesterday


Ochsner Health rating

6.5

Company rating: 6.5 out of 10

Based on 445 frontline employees who took The Breakroom Quiz

605th of 887 rated healthcare providers


Job description

We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, and innovate. We believe that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways.
At Ochsner, whether you work with patients every day or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health and discover your future today!
The Principal Data Engineer is an enterprise-level technical expert responsible for architecting complex data solutions, designing cross-domain frameworks, and shaping the organizational data strategy. This role brings advanced engineering mastery, deep technology acumen, and the ability to apply an enterprise perspective to data architecture. The Principal Data Engineer influences architectural direction, leads major initiatives, and acts as a mentor and subject matter expert across the organization.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential duties.
This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company's discretion.
Education
  • Required - Bachelor's Computer Science, Engineering, or related field.
  • Preferred - Master's

Work Experience
  • Required - 10+ years Data engineering or related technical experience. Proven experience designing and delivering enterprise data engineering solutions, including cloud-based architectures (Azure, AWS) and modern data platforms (Snowflake, Databricks) across complex, multi-domain environments. Strong background in Infrastructure security, Role based access controls, data governance, and cross-system integration. Strong experience in developing and implementing engineering standards, best practices, and continuous improvement across the data engineering function.
  • Preferred - 10+ years experience in platform engineering and FinOps, data analytics, and visualization tools like Tableau, PowerBI and Sigma. Building data products, semantic models and/or AI Agents

Knowledge Skills and Abilities (KSAs)
  • Thought leadership and enterprise-level problem solving.
  • Ability to influence executive stakeholders and guide organizational direction.
  • Expertise in translating complex technical concepts for business audiences.
  • Strong mentoring ability and passion for building engineering talent.
  • Strategic mindset with the ability to design for long-term scalability and value.
  • Proven expertise in leading data and anlytics modernization initiatives to minimize data and process duplication and redundancies.
  • Excellent analytical, problem-solving, communication and stakeholder management skills.
  • Proven capability in ETL/ELT design, streaming data pipelines, workflow orchestration, and DevOps practices (version control, CI/CD).
  • Demonstrated leadership in technical strategy, technology evaluation, and Innovation.
  • Deep expertise in Cloud Databases, Advanced SQL, Data modelling, Medallion data architectures, and complex data model design.

Job Duties
  • Designs enterprise-scale data platforms and solutions leveraging cloud ecosystems (Azure, AWS) and modern data platforms (Snowflake, Databricks).
  • Evaluates and implements emerging technologies, including AI/ML capabilities, to enhance data products and deliver measurable business value and innovation.
  • Applies expert-level knowledge of data systems, cloud architectures, big data platforms, streaming technologies, orchestration tools, and enterprise integration patterns.
  • Optimizes data ecosystems by simplifying integration patterns, improving performance, and eliminating redundancy.
  • Communicates and negotiates technical direction with executive leadership.
  • Ensures data quality, accessibility, and security through solid engineering practices and collaboration with architects and data stewards.
  • Champions data security, governance, and compliance through implementation of role-based access controls and enterprise policies.
  • Drives engineering excellence through quality first practices, performance optimization, and process improvement initiatives.
  • Partners with cross functional stakeholders to shape data strategy, roadmaps, and high impact solutions that enable actionable insights at scale.
  • Leads design of resilient, secure, and highly available engineering solutions across the full technology stack.
  • Mentors and guides engineering teams, serving as a subject matter expert and elevating technical capability across the organization.
  • Performs other duties as assigned
  • Complies with all policies and standards

The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time.
Remains knowledgeable on current federal, state and local laws, accreditation standards or regulatory agency requirements that apply to the assigned area of responsibility and ensures compliance with all such laws, regulations and standards.
This employer maintains and complies with its Compliance & Privacy Program and Standards of Conduct, including the immediate reporting of any known or suspected unethical or questionable behaviors or conduct; patient/employee safety, patient privacy, and/or other compliance-related concerns. The employer is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Physical and Environmental Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Sedentary Work- Exerting up to 10 pounds of force occasionally (occasionally means activity or conditions exist up to 1/3 of the work day), and/or, a negligible amount of force frequently (frequently means activity or condition exists from 1/3 to 2/3 of the work day) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
Normal routine involves no exposure to blood, body fluid or tissue and as part of their employment, incumbents are not called upon to perform or assist in emergency care or first aid.
The incumbent has no occupational risk for exposure to communicable diseases .
Because the incumbent works within a healthcare setting, there may be occupational risk for exposure to hazardous medications or hazardous waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning and/or disposal of contaminated waste. The risk level of exposure may increase depending on the essential job duties of the role.
Are you ready to make a difference? Apply Today!
Ochsner Health does not consider an individual an applicant until they have formally applied to the open position on this careers website.
Please refer to the job description to determine whether the position you are interested in is remote or on-site. Individuals who reside in and will work from the following areas are not eligible for remote work position: Colorado, California, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington, and Washington D.C.
Ochsner Health endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Solution Center at 504-842-4748 (select option 1) or careers@ochsner.org. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
Ochsner is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any legally protected class, including protected veterans and individuals with disabilities.

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