Data Engineering Co-op (Spring 2027)

LineVision, Inc.
Boston, Massachusetts, United StatesPosted Sep 8, 2026
Data Science / MLSpring 2027

About the role

Description Onsite: Boston, MA Headquarters

Accelerate LineVision's data platform modernization while building hands-on experience with cloud-native data engineering in the energy sector.

The successful Data Engineering Co-op will support the hardening of LineVision's next-generation data platform, working directly with our Data & Microservices team to strengthen data quality, governance, and reliability as we prepare the platform for its first on-premises utility deployments. Join our collaborative Platform team at LineVision, named one of the Built In Best Places to Work in Boston for three years running.

What will you do? Core Responsibilities and Key Performance Objectives Build data quality monitoring and observability across our Nexus ingestion and serving pipelines, catching accuracy, completeness, and consistency issues before they reach customers Implement and extend data lineage tracking across our pipelines to improve visibility into how data flows and transforms from ingestion through the Data API Develop automated conformance checks that verify services emit provenance, lineage, and audit events correctly against our governance schemas Help expand audit event coverage beyond pipeline-run events to registry changes, reference-data promotions, and data mutations, strengthening our compliance posture ahead of on-prem deployment Validate data integrity and service behavior across our deployment profiles (LineVision cloud and customer on-premises), building the test coverage and parity checks that harden Nexus for our first on-prem customer Evaluate and prototype datastore and tooling options (time-series stores, object storage, table formats) for specific hardening use cases Document data flows, schema designs, and architectural decisions to build institutional knowledge

What do you need to succeed in this role? Proficiency in SQL to validate data across environments, troubleshoot schema inconsistencies, and verify data integrity as we harden the platf

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