Senior Data Engineer

Job summary

Hybrid: Boston, MA Headquarters Build the data backbone enabling utilities to handle exploding electricity demand from AI data centers and global electrification. We are seeking a Senior Data Engineer to own and evolve LIN***'s data platform. You'll design and lead the data pipelines and infrastructure that process real-time grid data, enabling utilities to deliver affordable, reliable power.

Qualifications

• Complete onboarding on existing data pipelines and architecture, demonstrating command of LIN***'s data flows and AWS infrastructure
• Take ownership of multiple critical data pipelines, identifying gaps and proposing architectural improvements
• WITHIN THE FIRST 6 MONTHS:
• Design and lead the build of monitoring and alerting systems across assigned pipelines, improving observability and incident detection
• Architect an automated archiving and lifecycle management solution for object stores or databases, optimizing storage costs
• WITHIN THE FIRST YEAR:
• Lead migration execution of multiple critical databases into a unified environment, establishing patterns for others to follow
• Own a schema management, data registry, or cataloging solution end to end, enabling discoverability and lineage tracking
• Lead migration and self-hosting of business intelligence platform components with minimal guidance
• HOW TO SUCCEED IN THIS ROLE
• ESSENTIAL

Responsibilities

• You'll design and lead the data pipelines and infrastructure that process real-time grid data, enabling utilities to deliver affordable, reliable power.
• AND KEY PERFORMANCE OBJECTIVES
• Design, build, and lead data pipelines that ingest and process diverse data sources, architecting seamless integration into LIN***'s data platform
• Own system of record architecture and lead implementation of next-generation data infrastructure supporting company growth
• Lead cross-functional collaboration with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to define data needs and architect solutions
• Design monitoring, alerting, and metadata systems for data pipelines, setting standards for proactive issue detection and operational reliability
• Lead optimization of relational database systems for query performance, high availability, and resilience
• WITHIN THE FIRST 3 MONTHS:
• Establish relationships with key stakeholders across Engineering, Product, and Business teams to understand current data infrastructure and
• with high autonomy and trust in a communicative, collaborative, and fast-paced environment.
• Flexibility.
• You will be empowered to maintain work-life balance with trust-based PTO and a flexible work schedule.

Skills

Degrees

Industry

Contract length