Senior Data Engineer

🕒 March 20

🏄 California – Remote

🏄 California – Remote

💵 $115k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Veeva Systems

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

⚕️ Healthcare Insurance

💊 Pharmaceuticals

SaaS • Healthcare Insurance • Pharmaceuticals

Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.

📋 Description

• Design and implement a scalable Lakehouse environment. Own the lifecycle of efficient storage, including schema evolution, partition transformation, and snapshot management. • Build and manage real-time and batch data ingestion pipelines using Kafka and Spark • Deploy, manage, and scale data workloads (such as Spark executors) using Kubernetes (EKS). • Develop complex ETL workflows. Optimize jobs for large-scale data processing focusing on memory management and shuffle optimization. • Manage and monitor end-to-end data lifecycles using orchestration tools • Write and tune high-performance queries against the Lakehouse. Implement optimization strategies, compaction, and data skipping to reduce latency and cloud costs

🎯 Requirements

• 5+ years in Data Engineering, with at least 2 years focused on Lakehouse or modern Data Lake environments • Hands-on experience with AWS ecosystems, async/queue processing in a production environment and working with a Lakehouse • Expert in workflow management, data transformation, storage and exchange at scale. • Proven experience with events driven job processing. Mastery in data ingestion, processing large-scale data and performance tuning. • Experience with Kubernetes and infrastructure as code

🏖️ Benefits

• Medical, dental, vision, and basic life insurance • PTO and company-paid holidays • Retirement programs • 1% charitable giving program