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Intern Databricks Data Engineer Jobs in Louisiana

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

... Databricks as the foundation of your customers' data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the ...

Job Title Intern Data Engineers - AI & Analytics - 2027 Date posted 14-Aug-2026 Job ID 128821 City / Township / Village MONROE State / Province Louisiana Country United States Work arrangement Hybrid ...

$45.75 - $59/hr

Relevant technical certifications (e.g., Databricks Certified Data Engineer, Confluent Certified Developer, AWS Certified Data Analytics). * Working knowledge of the broader open-source data and AI ...

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Microsoft Fabric, Azure Data Services, Databricks * Power BI and Power Platform * Python * DAX * Microsoft Dynamics D365 (preferred) * Azure DevOps (or similar CI/CD tools) * Git version control

... Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating thought leadership in data governance - Collaborating on strategy and transformation ...

The data science intern will help drive proactive and predictive insights that inform strategic ... Engineering, Supply Chain Management/Logistics, Finance What You Need * Currently pursuing a ...

Showing results 21-40

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Louisiana?

The most popular types of Databricks Data Engineer jobs in Louisiana are:

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For Intern Databricks Data Engineer jobs in Louisiana, the most frequently searched job titles are:

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The top searched job categories for Intern Databricks Data Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Intern Databricks Data Engineer jobs?

Cities in Louisiana with the most Intern Databricks Data Engineer job openings:

Principal Data Engineer-Raceland, Louisiana

Bollinger Shipyards

Schriever, LA • Remote

Full-time

Posted 8 days ago


Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Title: Principal Data Engineer
Location: Remote
POSITION OVERVIEW
We are seeking a dedicated Principal Data Engineer .The candidate will lead 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.
REQUIREMENTS
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field
  • Minimum of 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
  • Experience leading technical teams or mentoring engineers; prior people management experience is desirable
SKILLS
  • 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 certification
RESPONSIBILITIES
  • Lead the design, 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
  • Provide technical leadership, architectural guidance, and mentoring to data engineering team members
  • 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

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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