Senior Data Engineer
About The Position
Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Requirements
- Master’s degree (or foreign equivalent) in Computer Science, Information Systems, Software Engineering or related field
- 2 years of experience involving the following:
- Creating Data Quality dashboards and report results
- Coding languages including: Python, Java, or Scala
- Writing SQL using RDBMS including: Redshift, Postgres, MySQL, Teradata, or Oracle
- Software DevOps CI/CD tools including: Git, Jenkins, Linux, or Shell Script
- Using Databricks, Jupyter, or similar notebook environment
- Working with test-driven development or software test automation
Responsibilities
- Identify and implement internal process improvements for data management such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
- Collaborate with Product Owner, Release Train Engineer, and Scrum Master to plan and execute work
- Work with Data Architects to optimize the technical environment for reuse, agility, and performance
- Ensure data requirements for applications, data scientists, and cross-functional use cases are met
- Maintain high performance and reliability of the system
- Contribute to the Exploration and understanding of new tools, and techniques and propose improvements to the existing and new data pipelines
- Collaborate cross-functionally with analysts, engineers, data scientists to identify & prioritize requirements, brainstorm solutions, and clarify business objectives for data-centric solutions to achieve continuous improvement
- Assist with data discovery for enhancing reports and designing efficient data stores
Benefits
- stock
- retirement
- medical
- life and disability insurance
- eligibility for an annual bonus
- Retirement and Savings Plan with generous company contributions
- group medical, dental and vision coverage
- flexible spending accounts
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models, including remote and hybrid work arrangements, where possible
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What This Job Offers
Job Type
Full-time
Career Level
Senior
