Principal Data Engineer (Fully Remote)

Bollinger Shipyards, Inc.; Metairie (LA); Remote; USD 130,000 - 190,000; Full time

Job summary

Bollinger Shipyards, Inc. is seeking a Principal Data Engineer with 8–12 years of experience to lead enterprise data pipelines and foundational data assets that support analytics, reporting, forecasting, and AI initiatives.

You will establish scalable data engineering practices, ensure data quality and security, and collaborate with ERP and operations systems. The role requires strong SQL, Azure, and leadership skills in a complex enterprise environment.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or related field.
• 8–12 years of experience in data engineering.
• Experience delivering enterprise-scale data pipelines.
• Proficient in SQL and data transformation.
• Experience with Azure or other cloud data platforms.
• Experience integrating ERP and operational systems.
• Experience leading technical teams or mentoring engineers.

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.

Skills

SQL

Data transformation

Team leadership

ERP integration

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or related field

Tools

Azure

Job description

POSITION OVERVIEW

We are seeking a dedicated Principal Data Engineer with at least 8–12 years of experience in data engineering. 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

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