Senior Data Engineer

Bollinger Shipyards, Inc.; Raceland (LA); Remote; USD 120,000 - 180,000; Full time

Job summary

Bollinger Shipyards, Inc. is seeking a Senior Data Engineer to design, build, and support enterprise data pipelines across the organization.

The role focuses on integrating operational systems into the Azure data platform to deliver trusted data for analytics, forecasting, AI, and enterprise decision-making. You will work with Data Engineering leadership, Enterprise Architecture, Analytics, AI, and Data Governance to establish a scalable foundation, mentor engineers, and contribute to DataOps

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• 5+ years of relevant data engineering experience.
• Strong hands-on SQL skills.
• Experience designing and developing production ETL/ELT pipelines.
• Experience with Azure data technologies, such as Microsoft Fabric, Azure Data Factory, Synapse, Databricks, or equivalent platforms.
• Experience with data warehousing and dimensional/data modeling.
• Experience integrating ERP, operational, and enterprise application data.
• Experience developing reliable, scalable production data solutions.
• Strong understanding of data quality, performance, and production support.

Responsibilities

• Design, develop, test, and maintain scalable enterprise data pipelines.
• Build ingestion processes integrating Oracle ERP, Finesse, MES/PLM, historical proposal data, and other enterprise systems.
• Implement Bronze, Silver, and Gold data layers within the enterprise Azure data platform.
• Develop transformations and curated datasets supporting analytics, dashboards, forecasting, and AI.
• Design and implement data models optimized for analytical and operational use cases.
• Develop data-quality checks, reconciliation processes, monitoring, and alerting.
• Troubleshoot data issues and perform root‑cause analysis across source systems and pipelines.
• Optimize pipelines, SQL, and data models for performance, scalability, and reliability.
• Implement automated testing, source control, CI/CD, and DataOps practices.
• Apply enterprise architecture, security, governance, and data-management standards.
• Work with Data Governance to ensure appropriate handling of sensitive and regulated data.
• Partner with Analytics and AI teams to provide reliable, production-ready datasets.
• Participate in design and code reviews and mentor less-experienced data engineers.
• Contribute to enterprise data engineering standards, patterns, and reusable components.

Skills

SQL

Python/PySpark

ETL/ELT

Data warehousing

Data modeling

CI/CD

Data governance

Security/compliance

Education

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

Tools

Microsoft Fabric

Azure Data Factory

Synapse

Databricks

Oracle ERP

IFS

MES

PLM

Job description

Job Title: Senior Data Engineer

Location: Remote-LA

Position Overview:We are seeking an experienced Senior Data Engineer to design, build, and support enterprise data pipelines and data solutions across Bollinger Shipyards. This is a hands‑on engineering role responsible for integrating operational systems into the enterprise Azure data platform and delivering reliable, trusted data for analytics, forecasting, AI, and enterprise decision-making.

The role will work closely with Data Engineering leadership, Enterprise Architecture, Analytics, AI, and Data Governance to establish a scalable enterprise data foundation.

Key Responsibilities:

• Design, develop, test, and maintain scalable enterprise data pipelines
• Build ingestion processes integrating Oracle ERP, Finesse, MES/PLM, historical proposal data, and other enterprise systems
• Implement Bronze, Silver, and Gold data layers within the enterprise Azure data platform
• Develop transformations and curated datasets supporting analytics, dashboards, forecasting, and AI
• Design and implement data models optimized for analytical and operational use cases
• Develop data-quality checks, reconciliation processes, monitoring, and alerting
• Troubleshoot data issues and perform root‑cause analysis across source systems and pipelines
• Optimize pipelines, SQL, and data models for performance, scalability, and reliability
• Implement automated testing, source control, CI/CD, and DataOps practices
• Apply enterprise architecture, security, governance, and data-management standards
• Work with Data Governance to ensure appropriate handling of sensitive and regulated data
• Partner with Analytics and AI teams to provide reliable, production-ready datasets
• Participate in design and code reviews and mentor less-experienced data engineers
• Contribute to enterprise data engineering standards, patterns, and reusable components

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• 5+ years of relevant data engineering experience
• Strong hands‑on SQL skills
• Experience designing and developing production ETL/ELT pipelines
• Experience with Azure data technologies, such as Microsoft Fabric, Azure Data Factory, Synapse, Databricks, or equivalent platforms
• Experience with data warehousing and dimensional/data modeling
• Experience integrating ERP, operational, and enterprise application data
• Experience developing reliable, scalable production data solutions
• Strong understanding of data quality, performance, and production support

Skills and Abilities:

• SQL and Python/PySpark
• Microsoft Fabric, Azure Data Factory, Synapse, Databricks, or related Azure technologies
• ETL/ELT and enterprise data integration
• Data warehousing and dimensional modeling
• Bronze / Silver / Gold medallion architecture
• Batch and incremental data processing
• Data quality, reconciliation, and observability
• Git, CI/CD, automated testing, and DataOps practices
• Experience with Oracle ERP, IFS, MES, PLM, or other enterprise operational systems is preferred
• Experience in manufacturing, industrial, shipbuilding, engineering, or other complex operational environments is preferred

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.