Lead Data Engineer - Remote, Enterprise Data & AI

Bollinger Shipyards, Inc.

Raceland (LA)

Remote

USD 140,000 - 210,000

Full time

4 days ago
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Benefits offered by this job

Fully remote position
Competitive pay
Exposure to AI initiatives

Job summary

Bollinger Shipyards, Inc. is seeking a Principal Data Engineer to lead the design, development, and delivery of enterprise data pipelines and foundational assets supporting analytics, reporting, forecasting, and AI initiatives.

The role emphasizes scalable data practices, data quality, and secure access across Oracle ERP, Finesse, MES, PLM, and Primavera. You will mentor engineers, collaborate with cross-functional teams, and drive delivery of trusted datasets to enable analytics, forecasting,

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or related field.
  • 8–12 years of experience in data engineering.
  • Strong SQL and data transformation expertise.
  • Experience with cloud data platforms (Azure preferred).
  • Experience integrating ERP and operational systems.

Responsibilities

  • Lead design, development, and support of enterprise data pipelines across ERP, MES, PLM, Primavera and other platforms.
  • Establish and maintain scalable data engineering standards and practices.
  • Ensure enterprise data architecture and medallion data design patterns (raw, curated, business-ready).
  • Oversee data ingestion, transformation, orchestration, reconciliation, and validation.
  • Mentor data engineering team and collaborate with security and infrastructure teams.

Skills

Azure Synapse
Azure Data Factory
Databricks
Fabric
Power BI
AI/ML data pipelines
Data observability
Master data management
Metadata management

Education

Bachelor’s degree

Tools

Oracle ERP
Finesse
MES
PLM
Primavera
Power BI

Job description

Bollinger Shipyards, Inc. is seeking a Principal Data Engineer to lead the design, development, and delivery of enterprise data pipelines and foundational assets supporting analytics, reporting, forecasting, and AI initiatives.

The role emphasizes scalable data practices, data quality, and secure access across Oracle ERP, Finesse, MES, PLM, and Primavera. You will mentor engineers, collaborate with cross-functional teams, and drive delivery of trusted datasets to enable analytics, forecasting,

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