Data Engineer
Description For Data Engineer
Veeva Systems is a pioneering SaaS company in the life sciences industry, recently becoming a public benefit corporation with a commitment to balancing stakeholder interests. As a Data Engineer in the OpenData team, you'll be responsible for US data processing workflows, building and maintaining pipelines and tools using cutting-edge technologies. The role offers end-to-end ownership and creative freedom in solution implementation.
The company has surpassed $2B in revenue and continues to grow rapidly. Their OpenData division provides real-time reference data across the healthcare ecosystem, supporting commercial sales execution, compliance, and business analytics. The position involves working with Python, Spark-based pipelines, and developing algorithms for complex data relationships.
The ideal candidate should have strong experience with cloud-managed Spark clusters, Python programming, and data pipeline development. The role offers comprehensive benefits including medical, dental, and vision insurance, retirement programs, and a unique 1% charitable giving program. As a Work Anywhere company, Veeva supports flexible working arrangements, allowing employees to work remotely or from the office.
This is an excellent opportunity for a data professional looking to make an impact in the life sciences industry while working with modern technologies and enjoying the benefits of a successful, mission-driven organization. The role offers competitive compensation and the chance to work on meaningful projects that help bring therapies to patients faster.
Responsibilities For Data Engineer
- Build and maintain data processing pipeline and tools using state-of-the-art technologies
- Work with Python on Spark-based data pipelines
- Develop algorithms to build complex data relationships
- Build analytical data structures to support reporting
- Build and maintain Data Quality processes
- Collaborate with Product team to adapt reference data to changing demands in the market
Requirements For Data Engineer
- 3+ years of experience developing data pipelines using cloud-managed Spark clusters
- Fluent in Python programming language and PySpark (3+ years of experience)
- Previous experience building tools and libraries to automate and streamline data processing workflows
- Proficient with SQL/SparkSQL
- Hands-on experience working with a Data Lakehouse
- Good verbal and written communication and proven experience of working and delivering in an Agile environment
Benefits For Data Engineer
- Medical, dental, vision, and basic life insurance
- PTO and company-paid holidays
- Retirement programs
- 1% charitable giving program
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