Senior Data Engineer
LineVision•Boston, MA
•Hybrid
About The Position
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 LineVision'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. If you're motivated to lead scalable systems that directly impact how major utilities operate their transmission networks, join us at LineVision, Built In Boston Best Places to Work!
Requirements
- Advanced proficiency in Python and SQL, with a track record designing and optimizing production data pipelines
- Deep experience with AWS storage and compute services (Lambda, RDS, SQS, AWS Glue, Athena, or similar), including architecture-level trade-off decisions
- Strong background in data modeling, ETL design, and job orchestration frameworks such as Apache Airflow, with experience leading small to medium-scale projects
- Outstanding collaboration and communication skills, with proven ability to lead technical discussions across diverse audiences
Nice To Haves
- Experience working with large volumes of real-time time-series data in production environments
- Experience mentoring or informally leading other engineers on pipeline design and best practices
- Familiarity with analytical tools such as Tableau or Power BI, understanding downstream consumption of data pipelines
- Demonstrated ability to independently execute complex migrations with attention to data integrity and reliability
- Hands-on experience with sensor data pipelines using lambda functions
Responsibilities
- Design, build, and lead data pipelines that ingest and process diverse data sources, architecting seamless integration into LineVision'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
- Establish relationships with key stakeholders across Engineering, Product, and Business teams to understand current data infrastructure and requirements
- Complete onboarding on existing data pipelines and architecture, demonstrating command of LineVision's data flows and AWS infrastructure
- Take ownership of multiple critical data pipelines, identifying gaps and proposing architectural improvements
- 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
- 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
Benefits
- Trust-based PTO
- Flexible work schedule
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
