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Data Engineer Jobs in Baton Rouge, LA (NOW HIRING)

JS Consulting

Network Engineer

Baton Rouge, LA · On-site

Job Title- Network Engineer with Data Center Project Location - Baton Rouge LA 70803 - Hybrid Duration- Full-time Interview: WebEx Must have Valid LinkedIn profile. -: The Network Engineering role ...

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All JobsData Engineer JobsData Engineer Jobs in Baton Rouge, LA

Data Engineer information

See Baton Rouge, LA salary details

$42.7K

$124.6K

$170.4K

How much do data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer in Baton Rouge, LA is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 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.
More about Data Engineer jobs
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What job categories do people searching Data Engineer jobs in Baton Rouge, LA look for? The top searched job categories for Data Engineer jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Data Engineer jobs? Cities near Baton Rouge, LA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,559 per year, or $59.9 per hour.

Data Architect (SR-5273715-ARCH)

LMG Technology Services LLC

Baton Rouge, LA • Remote

$61.25 - $78.75/hr

Full-time

Re-posted 2 days ago

Job description

Remote – United States

I. DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Design the vision and blueprint of an organization’s data framework.
  • Design and manage data systems, set policies for how data is stored and accessed, coordinate various data sources within an organization, and integrate new data technologies into existing IT infrastructures.
  • Data modeling and design, including software development and database administration.

II. CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

10

Required

Professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture.

N/A

Preferred

Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, or Information Technology.

2

Preferred

Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures.

Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2027. May not be extended beyond June 30, 2029.

Hours worked should be within the State’s core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State’s core business hours in order to meet critical deadlines.

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