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Principal Data Engineer

Raceland, LA, US • Posted 20 days ago • Updated 4 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Computer Science
Information Systems
Data Management
SQL
Enterprise Resource Planning
People Management
Microsoft Azure
Databricks
Manufacturing
Microsoft Power BI
Machine Learning (ML)
Master Data Management
Meta-data Management
Cloud Computing
Oracle ERP
MES
Product Lifecycle Management
Plant Lifecycle Management
Primavera
Proposal Writing
Data Architecture
Design Patterns
Management
Orchestration
Enterprise Architecture
Analytics
Reporting
Forecasting
Artificial Intelligence
Data Quality
IT Management
Collaboration
Cyber Security
Emerging Technologies
Data Engineering
Mentorship
Accountability

Computer Science
Information Systems
Data Management
SQL
Enterprise Resource Planning
People Management
Microsoft Azure
Databricks
Manufacturing
Microsoft Power BI
Machine Learning (ML)
Master Data Management
Meta-data Management
Cloud Computing
Oracle ERP
MES
Product Lifecycle Management
Plant Lifecycle Management
Primavera
Proposal Writing
Data Architecture
Design Patterns
Management
Orchestration
Enterprise Architecture
Analytics
Reporting
Forecasting
Artificial Intelligence
Data Quality
IT Management
Collaboration
Cyber Security
Emerging Technologies
Data Engineering
Mentorship
Accountability

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80184442
Position Id: b7b2ac88d361632173025f853e122335
Posted 20 days ago

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