Job Title: Senior Data Engineer
Location: Remote-LAPosition 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
