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.