Data Engineering Co-op (Spring 2027)

LineVision, Inc.•Boston, MA

5h•Hybrid

About The Position

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.

Requirements

Proficiency in SQL to validate data across environments, troubleshoot schema inconsistencies, and verify data integrity as we harden the platform
Python skills to debug pipeline and service code, automate data validation, and build data quality and governance-conformance checks
Familiarity with AWS cloud services (e.g., S3) and interest in containerized, Kubernetes-based services to work with our pipelines, object storage, and service infrastructure
Understanding of core data engineering concepts — data modeling, database design, and layered/pipeline data architecture — with curiosity about data governance, provenance, and lineage
Strong communication skills to collaborate with Platform, Quality, and other cross-functional teams on data requirements and validation
Technical documentation ability to capture processes, write validation scripts, and build reference materials for the team

Responsibilities

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