Data Engineer

Veeva is looking for a hard-working, collaborative expert in data pipelines, ETL tools, and warehousing. You will be creating high-quality solutions to complex problems around data acquisition and integration into existing systems and data sets. If you enjoy working in a fast-paced environment with a variety of exciting challenges to solve, this is the role for you.

What You'll Do

• Design and build reusable and configurable data pipelines using a mix of standard cloud-based and proprietary data platforms.
• Work with a data scientist to develop AI/ML proofs of concept into full implementations.
• Create documentation and provide informal training for data analysts on the configuration and use of tools and pipelines.
• Work with other engineering and product teams to understand proprietary platforms and provide input and feedback.
• Provide guidance to more junior data engineers on best practices.
• Work with security teams to ensure that all servers, platforms, and other resources meet security requirements.

Requirements

• BS degree in Computer Science, Engineering, or a related subject.
• 4+ years of experience in Data Engineering roles.
• Experience developing sophisticated data pipelines in cloud-based environments (e.g., AWS) using scalable data processing tools (e.g., Apache Spark).
• Data modeling experience.
• Demonstrated ability to work with others, particularly providing guidance to other data engineers.
• Ability to communicate around complex ideas and topics in English with both technical and non-technical individuals.

Nice to Have

• Familiarity with Agile methodologies.
• DevOps skills, especially CI/CD experience.
• Configuring and maintaining cloud-based cluster computing resources and orchestration systems (e.g., EC2 instances, Kubernetes clusters, Elastic Beanstalk).

Perks & Benefits

• Flexible work from anywhere policy.