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Data Engineer Jobs in Covington, LA (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 ...

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 - 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 ...

Pwc

Data Engineer - Senior Manager

New Orleans, LA

$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 ...

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 ...

Stoa Group

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 ...

Stoa Group

Software Developer/ Data Engineer

Hammond, LA

$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 ...

STOA Group

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 ...

Pwc

Data Engineer - Senior Associate

New Orleans, LA

$77K - $202K/yr

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 ...

Pwc

Data Strategy-Manager

New Orleans, LA

$99K - $232K/yr

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

Pwc

Data Governance- Manager

New Orleans, LA

$99K - $232K/yr

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

Pwc

GenAI Python Systems Engineer-Manager

New Orleans, LA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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All JobsData Engineer JobsData Engineer Jobs in Covington, LA

Data Engineer information

See Covington, LA salary details

$38.3K

$111.6K

$152.7K

How much do data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer in Covington, LA is $111,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $118,300.00 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
What are the most commonly searched types of Data Engineer jobs in Covington, LA? The most popular types of Data Engineer jobs in Covington, LA are:
What job categories do people searching Data Engineer jobs in Covington, LA look for? The top searched job categories for Data Engineer jobs in Covington, LA are:
What cities near Covington, LA are hiring for Data Engineer jobs? Cities near Covington, LA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Covington, LA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $111,588 per year, or $53.6 per hour.

Data Engineer

THE PRUITT GROUP LLC

New Orleans, LA • On-site

$110K - $132K/yr

Contractor

Re-posted 6 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.