Data Engineer I

We are looking for an early-career Data Engineer to help build, operate, and continuously improve reliable data pipelines and curated datasets that support commercial analytics and reporting.

Requirements

• Design, build, and support reliable batch and incremental data pipelines for commercial data products, ensuring scalability, maintainability, and operational readiness.
• Ingest, transform, and integrate large-scale structured and semi-structured pharma datasets into curated refined-layer tables.
• Implement transformation logic including cross-domain joins and slowly changing dimensions (SCD) and maintain clear technical documentation for datasets and pipelines.
• Ensure data quality through cleansing, standardization, deduplication, reconciliation, automated validation checks, anomaly detection, and monitoring/alerting; triage and resolve data issues.
• Apply data governance practices including documentation, lineage, access controls, and compliant handling of sensitive/regulated data.
• Partner with analysts and business stakeholders to translate requirements into data specifications, define dataset readiness criteria, and support adoption of published data products.

Benefits

• Competitive benefits
• Services and programs that provide resources to pursue goals, both at work and in personal lives
• Wide variety of benefits