Data Engineering Manager

Bollinger Shipyards

Raceland, LA, US
Not specified; not specified; comprehensive benefi...
On-site
8-12 years data engineering experience
Enterprise-scale data pipeline delivery
Strong sql and data transformation expertise
Bollinger Shipyards is seeking a Data Engineering Manager with significant experience in data engineering and a solid educational background in a relevant field. The role involves leading the development of enterprise data pipelines and ensuring data quality, security, and alignment with business goals

Job Summary

  • The role involves leading the design and delivery of enterprise data pipelines to support analytics, reporting, forecasting, and AI initiatives within a historic marine vessel builder.
  • Candidates must possess proven experience integrating complex ERP and operational systems such as Oracle ERP, Finesse, MES, PLM, and Primavera.
  • Bollinger Shipyards offers competitive pay, comprehensive benefits, a hybrid schedule, and opportunities for career development on cutting-edge projects.

Matching Summary

Match Score: 85

Bollinger Shipyards is seeking a Data Engineering Manager with significant experience in data engineering and a solid educational background in a relevant field. The role involves leading the development of enterprise data pipelines and ensuring data quality, security, and alignment with business goals.

Salary

Not specified; Not specified; Comprehensive Benefits Package

Skills & Requirements

Must-have

  • 8-12 years data engineering experience
  • Enterprise-scale data pipeline delivery
  • Strong SQL and data transformation expertise
  • Azure cloud data platform experience
  • ERP and operational system integration

Nice-to-have

  • Manufacturing or shipbuilding environment experience
  • Power BI downstream analytics enablement
  • AI/ML initiative support through feature pipelines
  • Data observability and metadata management knowledge
  • Cloud or data engineering certification

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • Minimum 8-12 years of data engineering experience
  • Experience with Azure Synapse, Data Factory, Databricks, or Fabric

Work Rights

Not specified

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