Staff Data Engineer - Data Lake

📋 Description

• Architect, build, and scale distributed ETL/ELT pipelines across healthcare datasets.
• Lead Data Lake architecture for scalability, observability, reliability, and cost control.
• Own data quality, validation, normalization, and standardization workflows across thousands of sources.
• Design and optimize batch and near real-time data processing with cloud-native systems.
• Mentor engineers and drive production reliability across the platform.
• Collaborate with Product, Infrastructure, Security, and downstream teams to deliver secure data delivery.

🎯 Requirements

• 8+ years in data engineering or related fields building scalable data platforms.
• Strong Python (PySpark), Java, Scala, or similar; advanced SQL expertise.
• Deep experience with Apache Spark and AWS big data services (EMR/Glue/S3/Athena/Redshift).
• Experience designing and scaling cloud-native data lake architectures with large-scale ingestion.
• Experience with Airflow or Argo; distributed storage and Parquet/Avro/ORC.
• Docker, Kubernetes, and modern containerization; monitoring and data quality in production.

🎁 Benefits

• Health insurance options and generous PTO.
• Pre-planned company wellness holidays.
• Retirement options.
• Health and charitable donation stipends.
• Business Resource Groups and flexible work hours.
• The opportunity to work with leading biotech and life sciences companies.