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Weekend Data Engineering Jobs in Louisiana (NOW HIRING)

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold system performance and data accuracy. * Collaboration and Documentation: Collaborate with data scientists ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold system performance and data accuracy. * Collaboration and Documentation: Collaborate with data scientists ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Lafayette, LA · On-site

$109K - $131K/yr

This is a hands-on engineering role requiring strong experience across data integration, streaming technologies, cloud infrastructure, Snowflake, and Power BI. You will work closely with engineering ...

Data Engineer

New Orleans, LA

$110K - $132K/yr

... engineering practice that will be leveraged across GE Participates in setting strategy and standards through data architecture and implementation Engineers structured and unstructured data from ...

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 ...

Data Quality Engineer

Branch, LA · On-site

$94K - $113K/yr

Ability to communicate data findings and technical decisions clearly to both engineering peers and business stakeholders. * Demonstrated ability to adopt AI tooling for automating DQ tasks, drafting ...

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience * 5+ years of experience writing complex SQL queries and working with ...

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

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Showing results 1-20

Weekend Data Engineering information

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Louisiana? The most popular types of Data Engineering jobs in Louisiana are:

Data Engineering Manager

Bollinger Shipyards

Raceland, LA • On-site

Full-time

Re-posted 13 days ago


Bollinger Shipyards rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Job Title: Data Engineering Manager
Location: Multiple Location
Position Overview: The Data Engineering Manager leads the design, development, and delivery of enterprise data pipelines and foundational data assets supporting analytics, reporting, forecasting, and AI initiatives. This role is responsible for establishing scalable and reliable data engineering practices while ensuring enterprise data is accurate, secure, accessible, and aligned to business priorities.
The role partners closely with Enterprise Architecture, Analytics, Data Science, Infrastructure, and business stakeholders to integrate data from ERP, operational, engineering, and manufacturing systems into the enterprise Azure data platform.
Key Responsibilities:
• Lead the development and support of enterprise data pipelines and integrations across Oracle ERP, Finesse, MES, PLM, Primavera, proposal systems, and other operational platforms
• Establish and maintain scalable data engineering standards, frameworks, and development practices
• Ensure consistent implementation of enterprise data architecture and medallion data design patterns (raw, curated, business-ready)
• Oversee data ingestion, transformation, orchestration, reconciliation, and validation processes
• Partner with Enterprise Architecture and Integration teams to align technical solutions with enterprise standards and future-state architecture
• Support analytics, reporting, forecasting, and AI initiatives through delivery of trusted and performant datasets
• Ensure data quality, lineage, observability, and reliability across enterprise data assets
• Manage priorities, sprint planning, delivery timelines, and technical execution for the data engineering team
• Collaborate with cybersecurity and infrastructure teams to ensure secure and compliant handling of enterprise data
• Evaluate emerging technologies and recommend improvements to data engineering capabilities and platform performance
• Mentor and develop technical talent while fostering strong engineering discipline and accountability
Qualifications:
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field
• 8-12 years of experience in data engineering
• Proven experience delivering enterprise-scale data pipelines
• Strong SQL and data transformation expertise
• Experience with cloud data platforms (Azure preferred)
• Experience integrating ERP and operational systems
Skills and Abilities:
• Experience with Azure Synapse, Azure Data Factory, Databricks, Fabric, or similar cloud technologies
• Experience in manufacturing, shipbuilding, industrial, or engineering-intensive environments
• Familiarity with Power BI and downstream analytics enablement
• Experience supporting AI/ML initiatives through engineered datasets and feature pipelines
• Knowledge of data observability, master data management, and metadata management practices
• Relevant cloud or data engineering certifications
Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

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