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Sql Python Data Engineer Jobs in Louisiana (NOW HIRING)

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL ... Proficiency in programming languages like Python, C#, or Java for data manipulation and automation ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL ... Proficiency in programming languages like Python, C#, or Java for data manipulation and automation ...

AWS Python Developer

Lafayette, LA · On-site

$48 - $66.25/hr

... data solutions within a large financial services environment. This role will lead hands on ... The engineer will contribute throughout the Software Development Lifecycle (SDLC), develop and ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

A minimum of 2 years of experience using Scripting (Python, Perl, Shell, etc) is required A minimum ... SQL is required A Minimum of 5 years of experience designing data model solutions for various OLTP ...

Associate Data Engineer

Iowa, LA · On-site +1

$65K - $95K/yr

The Associate Data Engineer will work closely with actuaries, analysts, underwriting, claims, and ... Foundational knowledge of SQL and relational database concepts. * Exposure to Python or another ...

IS Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

... s) (Python, Java etc). Knowledge Skills and Abilities (KSAs) * Ability to develop, deploy, and ... Advanced SQL skills and ability to quickly learn other scripting languages depending on team ...

Senior Data Engineer

New Orleans, LA · On-site

$101K - $138K/yr

Proficiency in programming languages such as Python or Scala, SQL, data modeling, ETL/ELT development, orchestration frameworks, and cloud platforms and related services (Data Lake Storage, Secrets ...

... SQL (e.g., BigQuery). Solid understanding of ETL/ELT processes, data pipeline architecture, and modern transformation frameworks such as dbt. Strong programming skills in Python, with the ability to ...

Basic understanding of programming concepts and experience with languages such as Python, SQL, Java, or similar technologies. * Basic understanding of databases, data structures, data processing ...

Basic understanding of programming concepts and experience with languages such as Python, SQL, Java, or similar technologies. * Basic understanding of databases, data structures, data processing ...

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Sql Python Data Engineer information

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

What is the difference between Sql Python Data Engineer vs Data Analyst?

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

What cities in Louisiana are hiring for Sql Python Data Engineer jobs?

Cities in Louisiana with the most Sql Python Data Engineer job openings:

Infographic showing various Sql Python Data Engineer job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

New Orleans, LA • On-site

$110K - $132K/yr

Contractor

Re-posted 10 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.