Senior Data Engineer (Contractor)

Confirmed live in the last 24 hours

Legend Biotech

Somerset, New Jersey, United States

Hybrid

Posted April 14, 2026

Job Description

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.

Legend Biotech is seeking a Senior Data Engineer (Contractor) as part of the IT team based in Somerset, NJ.

Role Overview

We are seeking a Senior Data Engineer to build and operate enterprise-grade data pipelines using Microsoft Azure as the orchestration layer and Snowflake as the enterprise data lake/warehouse. This role focuses on reliable ETL/ELT, push/pull data integration patterns, and scalable platform engineering in a GxP / validated environment.

Key Responsibilities

Design and build batch and incremental data pipelines using Azure-native orchestration services to move data into and out of Snowflake.
Support push and pull architectures across files, APIs, enterprise applications, and external partners.
Develop curated, consumption-ready datasets in Snowflake using standardized, reusable patterns.
Implement data quality, and reconciliation controls within pipelines.
Follow CI/CD and controlled deployment practices across Dev / QA / Prod environments.
Ensure solutions meet GxP expectations for data integrity, traceability, auditability, and change control.
Partner with Quality, Validation, and platform teams to support compliance and audit readiness.
Data Catalog, Metadata & Governance Enablement: