Overview
Data Engineer to lead the data foundation for a cloud-native platform, owning the data lifecycle from ingestion through analytics and AI feature delivery.
What you'll do
- Design and implement scalable ETL/ELT pipelines ingesting dosimetry, dose report, and compliance data.
- Own AWS data storage architecture across structured, unstructured, and cached tiers.
- Architect event-driven data flows for asynchronous compliance events and alerts.
- Design and evolve data models for dose reporting, calibration tracking, audit exports, and outlier detection.
- Optimize queries and define data access strategies for APIs serving real-time compliance dashboards.
- Support AI/ML features with dataset curation, feature engineering, and pipeline design.
- Define data quality standards, schema contracts, lineage tracking, and observability across pipelines.
What you'll need
- 5+ years of experience in data engineering delivering production-grade pipelines and data architectures.
- Deep SQL expertise including designing schemas and tuning production-scale queries.
- Hands-on AWS cloud experience across storage, compute, messaging, and eventing.
- Advanced Python proficiency for maintainable and reusable pipeline code.
- Experience designing and operating event-driven architectures and queue/streaming ingestion.
- Strong data modeling across OLTP and OLAP workloads.
- Understanding of data security and compliance including encryption, IAM least privilege, PII classification, and audit trails.
Read the full description and apply on the company’s own careers page.
NewPosted today
● Live
