Lead the design, development, and maintenance of enterprise-scale data pipelines and foundational data assets to support analytics and AI initiatives. Establish scalable data engineering standards and collaborate with cross-functional teams to ensure data accuracy, security, and reliability.
Job Title: Principal Data Engineer
Location: Remote
POSITION OVERVIEW
We are seeking a dedicated Principal Data Engineer .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
SKILLS
Experience with Azure Synapse, Azure Data Factory, Databricks, Fabric, or similar cloud technologies
Experience in manufacturing, shipbuilding, industrial, or engineering-intensive environments
Familiarity with Power BI and downstream analytics enablement
Experience supporting AI/ML initiatives through engineered datasets and feature pipelines
Knowledge of data observability, master data management, and metadata management practices
Relevant cloud or data engineering certification
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
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.
Benefits
401k, Dental Insurance, Life Insurance, Medical Insurance, Vision
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